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114 results on '"Mandija, Stefano"'

1. Color-map recommendation for MR relaxometry maps

Author

Fuderer, Miha, Wichtmann, Barbara, Crameri, Fabio, deSouza, Nandita M., Baeßler, Bettina, Gulani, Vikas, Wang, Meiyun, Poot, Dirk, de Boer, Ruud, Cashmore, Matt, de Graaf, Wolter, Keenan, Kathryn E., Ma, Dan, Pirkl, Carolin, Sollmann, Nico, Weingärtner, Sebastian, Mandija, Stefano, and Golay, Xavier

Subjects
Physics - Medical Physics
Abstract

Purpose: To harmonize the use of color for MR relaxometry maps and therefore recommend the use of specific color-maps for representing T1 and T2 maps. Methods: Perceptually linearized color-maps were chosen to have similar color settings as those proposed by Griswold et al. in 2018. A Delphi process, polling the opinion of a panel of 81 experts, was used to generate consensus on the suitability of these maps. Results: Consensus was reached on the suitability of the logarithm-processed Lipari color-map for T1 and the logarithm-processed Navia color-map for T2. There was consensus on color bars being mandatory and on the use of a specific value indicating invalidity. There was no consensus on whether the ranges should be fixed per anatomy. Conclusion: The authors recommend the use of the logarithm-processed Lipari color map for displaying quantitative T1 maps and R1 maps; likewise, the authors recommend the logarithm-processed Navia color-map for displaying T2, T2*, R2 and R2* maps., Comment: 22 pages; embedded are 5 figures and 5 tables; contact the first author for supplementary material. Submitted to Magnetic Resonance in Medicine

Published
2024

3. Real-time myocardial landmark tracking for MRI-guided cardiac radio-ablation using Gaussian Processes

Author

Huttinga, Niek R. F., Akdag, Osman, Fast, Martin F., Verhoeff, Joost, Hoesein, Firdaus A. A. Mohamed, Berg, Cornelis A. T. van den, Sbrizzi, Alessandro, and Mandija, Stefano

Subjects
Physics - Medical Physics, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

The high speed of cardiorespiratory motion introduces a unique challenge for cardiac stereotactic radio-ablation (STAR) treatments with the MR-linac. Such treatments require tracking myocardial landmarks with a maximum latency of 100 ms, which includes the acquisition of the required data. The aim of this study is to present a new method that allows to track myocardial landmarks from few readouts of MRI data, thereby achieving a latency sufficient for STAR treatments. We present a tracking framework that requires only few readouts of k-space data as input, which can be acquired at least an order of magnitude faster than MR-images. Combined with the real-time tracking speed of a probabilistic machine learning framework called Gaussian Processes, this allows to track myocardial landmarks with a sufficiently low latency for cardiac STAR guidance, including both the acquisition of required data, and the tracking inference. The framework is demonstrated in 2D on a motion phantom, and in vivo on volunteers and a ventricular tachycardia (arrhythmia) patient. Moreover, the feasibility of an extension to 3D was demonstrated by in silico 3D experiments with a digital motion phantom. The framework was compared with template matching - a reference, image-based, method - and linear regression methods. Results indicate an order of magnitude lower total latency (<10 ms) for the proposed framework in comparison with alternative methods. The root-mean-square-distances and mean end-point-distance with the reference tracking method was less than 0.8 mm for all experiments, showing excellent (sub-voxel) agreement. The high accuracy in combination with a total latency of less than 10 ms - including data acquisition and processing - make the proposed method a suitable candidate for tracking during STAR treatments.

Published
2023
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4. Generalizable synthetic MRI with physics-informed convolutional networks

Author

Jacobs, Luuk, Mandija, Stefano, Liu, Hongyan, Berg, Cornelis A. T. van den, Sbrizzi, Alessandro, and Maspero, Matteo

Subjects
Physics - Medical Physics, Computer Science - Computer Vision and Pattern Recognition
Abstract

In this study, we develop a physics-informed deep learning-based method to synthesize multiple brain magnetic resonance imaging (MRI) contrasts from a single five-minute acquisition and investigate its ability to generalize to arbitrary contrasts to accelerate neuroimaging protocols. A dataset of fifty-five subjects acquired with a standard MRI protocol and a five-minute transient-state sequence was used to develop a physics-informed deep learning-based method. The model, based on a generative adversarial network, maps data acquired from the five-minute scan to "effective" quantitative parameter maps, here named q*-maps, by using its generated PD, T1, and T2 values in a signal model to synthesize four standard contrasts (proton density-weighted, T1-weighted, T2-weighted, and T2-weighted fluid-attenuated inversion recovery), from which losses are computed. The q*-maps are compared to literature values and the synthetic contrasts are compared to an end-to-end deep learning-based method proposed by literature. The generalizability of the proposed method is investigated for five volunteers by synthesizing three non-standard contrasts unseen during training and comparing these to respective ground truth acquisitions via contrast-to-noise ratio and quantitative assessment. The physics-informed method was able to match the high-quality synthMRI of the end-to-end method for the four standard contrasts, with mean \pm standard deviation structural similarity metrics above 0.75 \pm 0.08 and peak signal-to-noise ratios above 22.4 \pm 1.9 and 22.6 \pm 2.1. Additionally, the physics-informed method provided retrospective contrast adjustment, with visually similar signal contrast and comparable contrast-to-noise ratios to the ground truth acquisitions for three sequences unused for model training, demonstrating its generalizability and potential application to accelerate neuroimaging protocols., Comment: 23 pages, 7 figures, 1 table. Presented at ISMRM 2022. Will be submitted to NMR in biomedicine

Published
2023
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5. Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC within 3 minutes

Author

Liu, Hongyan, van der Heide, Oscar, Mandija, Stefano, Berg, Cornelis A. T. van den, and Sbrizzi, Alessandro

Subjects
Physics - Medical Physics, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

MR-STAT is an emerging quantitative magnetic resonance imaging technique which aims at obtaining multi-parametric tissue parameter maps from single short scans. It describes the relationship between the spatial-domain tissue parameters and the time-domain measured signal by using a comprehensive, volumetric forward model. The MR-STAT reconstruction solves a large-scale nonlinear problem, thus is very computationally challenging. In previous work, MR-STAT reconstruction using Cartesian readout data was accelerated by approximating the Hessian matrix with sparse, banded blocks, and can be done on high performance CPU clusters with tens of minutes. In the current work, we propose an accelerated Cartesian MR-STAT algorithm incorporating two different strategies: firstly, a neural network is trained as a fast surrogate to learn the magnetization signal not only in the full time-domain but also in the compressed lowrank domain; secondly, based on the surrogate model, the Cartesian MR-STAT problem is re-formulated and split into smaller sub-problems by the alternating direction method of multipliers. The proposed method substantially reduces the computational requirements for runtime and memory. Simulated and in-vivo balanced MR-STAT experiments show similar reconstruction results using the proposed algorithm compared to the previous sparse Hessian method, and the reconstruction times are at least 40 times shorter. Incorporating sensitivity encoding and regularization terms is straightforward, and allows for better image quality with a negligible increase in reconstruction time. The proposed algorithm could reconstruct both balanced and gradient-spoiled in-vivo data within 3 minutes on a desktop PC, and could thereby facilitate the translation of MR-STAT in clinical settings., Comment: 12 pages, 7 figures, accepted by IEEE Transactions on Medical Imaging (in press)

Published
2022
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6. A Framework for Assessing the Effect of Cardiac and Respiratory Motion for Stereotactic Arrhythmia Radioablation Using a Digital Phantom With a 17-Segment Model: A STOPSTORM.eu Consortium Study

Author

Stevens, Raoul R.F., Hazelaar, Colien, Bogowicz, Marta, ter Bekke, Rachel M.A., Volders, Paul G.A., Verhoeven, Karolien, de Ruysscher, Dirk, Verhoeff, Joost J.C., Fast, Martin F., Mandija, Stefano, Cvek, Jakub, Knybel, Lukas, Dvorak, Pavel, Blanck, Oliver, and van Elmpt, Wouter

Published
2024
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10. Preparation‐based B1+ mapping in the heart using Bloch–Siegert shifts.

Author

Šiurytė, Paulina, Tourais, Joao, Zhang, Yi, Coletti, Chiara, van de Steeg‐Henzen, Christal, Mandija, Stefano, Tao, Qian, Henningsson, Markus, and Weingärtner, Sebastian

Subjects
CARDIAC imaging, STANDARD deviations, LONGITUDINAL method, MAGNETIZATION, STATISTICAL reliability
Abstract

Purpose: To develop and evaluate a robust cardiac B1+$$ {\mathrm{B}}_1^{+} $$ mapping sequence at 3 T, using Bloch–Siegert shift (BSS)‐based preparations. Methods: A longitudinal magnetization preparation module was designed to encode |B1+|$$ \mid {\mathrm{B}}_1^{+}\mid $$. After magnetization tip‐down, off‐resonant Fermi pulses, placed symmetrically around two refocusing pulses, induced BSS, followed by tipping back of the magnetization. Bloch simulations were used to optimize refocusing pulse parameters and to assess the mapping sensitivity. Relaxation‐induced B1+$$ {\mathrm{B}}_1^{+} $$ error was simulated for various T1$$ {\mathrm{T}}_1 $$/T2$$ {\mathrm{T}}_2 $$ times. The effective mapping range was determined in phantom experiments, and |B1+|$$ \mid {\mathrm{B}}_1^{+}\mid $$ maps were compared to the conventional BSS method and subadiabatic hyperbolic‐secant 8 (HS8) pulse‐sensitized method. Cardiac B1+$$ {\mathrm{B}}_1^{+} $$ maps were acquired in healthy subjects, and evaluated for repeatability and imaging plane intersection consistency. The technique was modified for three‐dimensional (3D) acquisition of the whole heart in a single breath‐hold, and compared to two‐dimensional (2D) acquisition. Results: Simulations indicate that the proposed preparation can be tailored to achieve high mapping sensitivity across various B1+$$ {\mathrm{B}}_1^{+} $$ ranges, with maximum sensitivity at the upper B1+$$ {\mathrm{B}}_1^{+} $$ range. T1$$ {\mathrm{T}}_1 $$/T2$$ {\mathrm{T}}_2 $$‐induced bias did not exceed 5.2%$$ \% $$. Experimentally reproduced B1+$$ {\mathrm{B}}_1^{+} $$ sensitization closely matched simulations for B1+≥0.3B1,max+$$ {\mathrm{B}}_1^{+}\ge 0.3{\mathrm{B}}_{1,\max}^{+} $$ (mean difference 0.031±$$ \pm $$0.022, compared to 0.018±$$ \pm $$0.025 in the HS8‐sensitized method), and showed 20‐fold reduction in the standard deviation of repeated scans, compared with conventional BSS B1+$$ {\mathrm{B}}_1^{+} $$ mapping, and an equivalent 2‐fold reduction compared with HS8‐sensitization. Robust cardiac B1+$$ {\mathrm{B}}_1^{+} $$ map quality was obtained, with an average test‐retest variability of 0.027±$$ \pm $$0.043 relative to normalized B1+$$ {\mathrm{B}}_1^{+} $$ magnitude, and plane intersection bias of 0.052±$$ \pm $$0.031. 3D acquisitions showed good agreement with 2D scans (mean absolute deviation 0.055±$$ \pm $$0.061). Conclusion: BSS‐based preparations enable robust and tailorable 2D/3D cardiac B1+$$ {\mathrm{B}}_1^{+} $$ mapping at 3 T in a single breath‐hold. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Evaluation of the impact of cardiac implantable electronic devices on cine MRI for real‐time adaptive cardiac radioablation on a 1.5 T MR‐linac.

Author

Akdag, Osman, Mandija, Stefano, Borman, Pim T. S., Tzitzimpasis, Paris, van Lier, Astrid L. H. M. W., Keesman, Rick, Raaymakers, Bas W., and Fast, Martin F.

Subjects
*ELECTRONIC equipment, *ARTIFICIAL implants, *VENTRICULAR tachycardia, *IMPLANTABLE cardioverter-defibrillators, *GAUSSIAN processes
Abstract

Background Purpose Methods Results Conclusions Stereotactic arrhythmia radioablation (STAR) is a novel treatment approach for refractory ventricular tachycardia (VT). The risk of treatment‐induced toxicity and geographic miss can be reduced with online MRI‐guidance on an MR‐linac. However, most VT patients carry cardiac implantable electronic devices (CIED), which compromise MR images.Robust MR‐linac imaging sequences are required for cardiac visualization and accurate motion monitoring in presence of a CIED during MRI‐guided STAR. We optimized two clinically available cine sequences for cardiorespiratory motion estimation in presence of a CIED on a 1.5 T MR‐linac. The image quality, motion estimation accuracy, and geometric fidelity using these cine sequences were evaluated.Clinically available 2D balanced steady‐state free precession (bSSFP, voxel size = 3.0 ×$\times$ 3.0 ×$\times$ 10 mm3, Tscan = 96 ms, bandwidth (BW) = 1884 Hz/px) and T1${\rm T}_{1}$‐spoiled gradient echo (T1${\rm T}_{1}$‐GRE, voxel size = 4.0 ×$ \times$ 4.0 ×$ \times$ 10 mm3, Tscan = 97 ms, BW = 500 Hz/px) sequences were adjusted for real‐time cardiac visualization and cardiorespiratory motion estimation on a 1.5 T Unity MR‐linac (Elekta AB, Stockholm, Sweden), while complying with safety guidelines for MRI in presence of CIEDs (specific absorption rate <$ <$ 2 W/kg and dBdt<$\frac{dB}{dt}<$ 80 mT/s). Cine acquisitions were performed in five healthy volunteers, with and without an implantable cardioverter– defibrillator (ICD) placed on the clavicle, and a VT patient. Generalized divergence‐curl (GDC) deformable image registration (DIR) was used for automated landmark motion estimation in the left ventricle (LV). Gaussian processes (GP), a machine‐learning technique, was trained using GDC landmarks and deployed for real‐time cardiorespiratory motion prediction. B0$B_{0}$‐mapping was performed to assess geometric image fidelity in the presence of CIEDs.CIEDs introduced banding artifacts partially obscuring cardiac structures in bSSFP acquisitions. In contrast, the T1${\rm T}_{1}$‐GRE was more robust to CIED‐induced artifacts at the expense of a lower signal‐to‐noise ratio. In presence of an ICD, image‐based cardiorespiratory motion estimation was possible for 85% (100%) of the volunteers using the bSSFP (T1${\rm T}_{1}$‐GRE) sequence. The in‐plane 2D root‐mean‐squared deviation (RMSD) range between GDC‐derived landmarks and manual annotations using the bSSFP (T1‐GRE) sequence was 3.1–3.3 (3.3–4.1) mm without ICD and 4.6–4.6 (3.2–3.3) mm with ICD. Without ICD, the RMSD between the GP‐predictions and GDC‐derived landmarks ranged between 0.9 and 2.2 mm (1.3–3.0 mm) for the bSSFP (T1‐GRE) sequence. With ICD, the RMSD between the GP‐predictions and GDC‐derived landmarks ranged between 1.3 and 2.2 mm (1.2–3.2 mm) using the bSSFP (T1‐GRE) sequence resulting in an RMSD‐increase of 42%–143% (bSSFP) and −61%–142% (T1‐GRE). Lead‐induced spatial distortions ranged between −0.2 and 0.2 mm (−0.7–1.2 mm) using the bSSFP (T1${\rm T}_{1}$‐GRE) sequence. The 98th percentile range of the spatial distortions in the gross target volume of the patient was between 0.0 and 0.4 mm (0.0–1.8 mm) when using bSSFP (T1${\rm T}_{1}$‐GRE).Tailored bSSFP and T1${\rm T}_{1}$‐GRE sequences can facilitate real‐time cardiorespiratory estimation using GP trained with GDC‐derived landmarks in the majority of landmark locations in the LV despite the presence of CIEDs. The need for high temporal resolution noticeably reduced achievable spatial resolution of the cine MRIs. However, the effect of the CIED‐induced artifacts is device, patient and sequence dependent and requires specific assessment per case. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Activity-dependent spinal cord neuromodulation rapidly restores trunk and leg motor functions after complete paralysis

Author

Rowald, Andreas, Komi, Salif, Demesmaeker, Robin, Baaklini, Edeny, Hernandez-Charpak, Sergio Daniel, Paoles, Edoardo, Montanaro, Hazael, Cassara, Antonino, Becce, Fabio, Lloyd, Bryn, Newton, Taylor, Ravier, Jimmy, Kinany, Nawal, D’Ercole, Marina, Paley, Aurélie, Hankov, Nicolas, Varescon, Camille, McCracken, Laura, Vat, Molywan, Caban, Miroslav, Watrin, Anne, Jacquet, Charlotte, Bole-Feysot, Léa, Harte, Cathal, Lorach, Henri, Galvez, Andrea, Tschopp, Manon, Herrmann, Natacha, Wacker, Moïra, Geernaert, Lionel, Fodor, Isabelle, Radevich, Valentin, Van Den Keybus, Katrien, Eberle, Grégoire, Pralong, Etienne, Roulet, Maxime, Ledoux, Jean-Baptiste, Fornari, Eleonora, Mandija, Stefano, Mattera, Loan, Martuzzi, Roberto, Nazarian, Bruno, Benkler, Stefan, Callegari, Simone, Greiner, Nathan, Fuhrer, Benjamin, Froeling, Martijn, Buse, Nik, Denison, Tim, Buschman, Rik, Wende, Christian, Ganty, Damien, Bakker, Jurriaan, Delattre, Vincent, Lambert, Hendrik, Minassian, Karen, van den Berg, Cornelis A. T., Kavounoudias, Anne, Micera, Silvestro, Van De Ville, Dimitri, Barraud, Quentin, Kurt, Erkan, Kuster, Niels, Neufeld, Esra, Capogrosso, Marco, Asboth, Leonie, Wagner, Fabien B., Bloch, Jocelyne, and Courtine, Grégoire

Published
2022
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16. Generalizable synthetic MRI with physics-informed convolutional networks

Author

Radiotherapie, Computational Imaging, Cancer, Circulatory Health, Regenerative Medicine and Stem Cells, Jacobs, Luuk, Mandija, Stefano, Liu, Hongyan, van den Berg, Cornelis A T, Sbrizzi, Alessandro, Maspero, Matteo, Radiotherapie, Computational Imaging, Cancer, Circulatory Health, Regenerative Medicine and Stem Cells, Jacobs, Luuk, Mandija, Stefano, Liu, Hongyan, van den Berg, Cornelis A T, Sbrizzi, Alessandro, and Maspero, Matteo

Published
2024

17. Experimental demonstration of real-time cardiac physiology-based radiotherapy gating for improved cardiac radioablation on an MR-linac

Author

Cancer, Experimentele klinische fysica, Klinische Fysica RT, Computational Imaging, Circulatory Health, Akdag, Osman, Borman, Pim T S, Mandija, Stefano, Woodhead, Peter L, Uijtewaal, Prescilla, Raaymakers, Bas W, Fast, Martin F, Cancer, Experimentele klinische fysica, Klinische Fysica RT, Computational Imaging, Circulatory Health, Akdag, Osman, Borman, Pim T S, Mandija, Stefano, Woodhead, Peter L, Uijtewaal, Prescilla, Raaymakers, Bas W, and Fast, Martin F

Published
2024

18. A Framework for Assessing the Effect of Cardiac and Respiratory Motion for Stereotactic Arrhythmia Radioablation Using a Digital Phantom With a 17-Segment Model: A STOPSTORM.eu Consortium Study

Author

MS Radiotherapie, Brain, Cancer, Circulatory Health, Experimentele klinische fysica, Computational Imaging, Stevens, Raoul R F, Hazelaar, Colien, Bogowicz, Marta, Ter Bekke, Rachel M A, Volders, Paul G A, Verhoeven, Karolien, de Ruysscher, Dirk, Verhoeff, Joost J C, Fast, Martin F, Mandija, Stefano, Cvek, Jakub, Knybel, Lukas, Dvorak, Pavel, Blanck, Oliver, van Elmpt, Wouter, MS Radiotherapie, Brain, Cancer, Circulatory Health, Experimentele klinische fysica, Computational Imaging, Stevens, Raoul R F, Hazelaar, Colien, Bogowicz, Marta, Ter Bekke, Rachel M A, Volders, Paul G A, Verhoeven, Karolien, de Ruysscher, Dirk, Verhoeff, Joost J C, Fast, Martin F, Mandija, Stefano, Cvek, Jakub, Knybel, Lukas, Dvorak, Pavel, Blanck, Oliver, and van Elmpt, Wouter

Published
2024

22. Generalizable synthetic MRI with physics‐informed convolutional networks.

Author

Jacobs, Luuk, Mandija, Stefano, Liu, Hongyan, van den Berg, Cornelis A. T., Sbrizzi, Alessandro, and Maspero, Matteo

Subjects
*DEEP learning, *MAGNETIC resonance imaging, *GENERATIVE adversarial networks, *CONTRAST-enhanced magnetic resonance imaging, *COMPUTER-assisted image analysis (Medicine)
Abstract

Background: Magnetic resonance imaging (MRI) provides state‐of‐the‐art image quality for neuroimaging, consisting of multiple separately acquired contrasts. Synthetic MRI aims to accelerate examinations by synthesizing any desirable contrast from a single acquisition. Purpose: We developed a physics‐informed deep learning‐based method to synthesize multiple brain MRI contrasts from a single 5‐min acquisition and investigate its ability to generalize to arbitrary contrasts. Methods: A dataset of 55 subjects acquired with a clinical MRI protocol and a 5‐min transient‐state sequence was used. The model, based on a generative adversarial network, maps data acquired from the five‐minute scan to "effective" quantitative parameter maps (q*‐maps), feeding the generated PD, T1, and T2 maps into a signal model to synthesize four clinical contrasts (proton density‐weighted, T1‐weighted, T2‐weighted, and T2‐weighted fluid‐attenuated inversion recovery), from which losses are computed. The synthetic contrasts are compared to an end‐to‐end deep learning‐based method proposed by literature. The generalizability of the proposed method is investigated for five volunteers by synthesizing three contrasts unseen during training and comparing these to ground truth acquisitions via qualitative assessment and contrast‐to‐noise ratio (CNR) assessment. Results: The physics‐informed method matched the quality of the end‐to‐end method for the four standard contrasts, with structural similarity metrics above 0.75±0.08$0.75\pm 0.08$ (±$\pm$std), peak signal‐to‐noise ratios above 22.4±1.9$22.4\pm 1.9$, representing a portion of compact lesions comparable to standard MRI. Additionally, the physics‐informed method enabled contrast adjustment, and similar signal contrast and comparable CNRs to the ground truth acquisitions for three sequences unseen during model training. Conclusions: The study demonstrated the feasibility of physics‐informed, deep learning‐based synthetic MRI to generate high‐quality contrasts and generalize to contrasts beyond the training data. This technology has the potential to accelerate neuroimaging protocols. [ABSTRACT FROM AUTHOR]

Published
2024
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25. STereotactic Arrhythmia Radioablation (STAR): the Standardized Treatment and Outcome Platform for Stereotactic Therapy Of Re-entrant tachycardia by a Multidisciplinary consortium (STOPSTORM.eu) and review of current patterns of STAR practice in Europe

Author

Grehn, Melanie, Mandija, Stefano, Miszczyk, Marcin, Krug, David, Tomasik, Bartłomiej, Stickney, Kristine E, Alcantara, Pino, Alongi, Filippo, Anselmino, Matteo, Aranda, Ricardo Salgado, Balgobind, Brian V, Boda-Heggemann, Judit, Boldt, Leif-Hendrik, Bottoni, Nicola, Cvek, Jakub, Elicin, Olgun, De Ferrari, Gaetano Maria, Hassink, Rutger J, Hazelaar, Colien, Hindricks, Gerhard, Hurkmans, Coen, Iotti, Cinzia, Jadczyk, Tomasz, Jiravsky, Otakar, Jumeau, Raphaël, Buus Kristiansen, Steen, Levis, Mario, López, Manuel Algara, Martí-Almor, Julio, Mehrhof, Felix, Møller, Ditte Sloth, Molon, Giulio, Ouss, Alexandre, Peichl, Petr, Plasek, Jiri, Postema, Pieter G, Quesada, Aurelio, Reichlin, Tobias Roman, Rordorf, Roberto, Rudic, Boris, Saguner, Ardan M, Ter Bekke, Rachel M A, Torrecilla, José López, Troost, Esther G C, Vitolo, Viviana, Andratschke, Nicolaus, Zeppenfeld, Katja, Blamek, Slawomir, Fast, Martin, de Panfilis, Ludovica, Blanck, Oliver, Pruvot, Etienne, and Verhoeff, Joost J C

Subjects
Cardiac arrhythmias, CATHETER ABLATION, Stereotactic body radiotherapy, Stereotactic arrhythmia radioablation, 610 Medicine & health, Ventricular tachycardia, GUIDELINES, STRUCTURAL HEART-DISEASE, DELINEATION, Physiology (medical), RADIATION-THERAPY, VENTRICULAR-TACHYCARDIA, EU Horizon 2020, BODY RADIOTHERAPY, Cardiology and Cardiovascular Medicine, Consortium, CONTOURING ATLAS
Abstract

The EU Horizon 2020 Framework-funded Standardized Treatment and Outcome Platform for Stereotactic Therapy Of Re-entrant tachycardia by a Multidisciplinary (STOPSTORM) consortium has been established as a large research network for investigating STereotactic Arrhythmia Radioablation (STAR) for ventricular tachycardia (VT). The aim is to provide a pooled treatment database to evaluate patterns of practice and outcomes of STAR and finally to harmonize STAR within Europe. The consortium comprises 31 clinical and research institutions. The project is divided into nine work packages (WPs): (i) observational cohort; (ii) standardization and harmonization of target delineation; (iii) harmonized prospective cohort; (iv) quality assurance (QA); (v) analysis and evaluation; (vi, ix) ethics and regulations; and (vii, viii) project coordination and dissemination. To provide a review of current clinical STAR practice in Europe, a comprehensive questionnaire was performed at project start. The STOPSTORM Institutions’ experience in VT catheter ablation (83% ≥ 20 ann.) and stereotactic body radiotherapy (59% > 200 ann.) was adequate, and 84 STAR treatments were performed until project launch, while 8/22 centres already recruited VT patients in national clinical trials. The majority currently base their target definition on mapping during VT (96%) and/or pace mapping (75%), reduced voltage areas (63%), or late ventricular potentials (75%) during sinus rhythm. The majority currently apply a single-fraction dose of 25 Gy while planning techniques and dose prescription methods vary greatly. The current clinical STAR practice in the STOPSTORM consortium highlights potential areas of optimization and harmonization for substrate mapping, target delineation, motion management, dosimetry, and QA, which will be addressed in the various WPs.

Published
2023
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27. A framework for assessing the impact of cardiac and respiratory motion for STereotactic Arrhythmia Radioablation (STAR) using a digital phantom with a 17-segment model - A STOPSTORM.eu consortium study

Author

Stevens, Raoul R.F., primary, Hazelaar, Colien, additional, Bogowicz, Marta, additional, ter Bekke, Rachel M.A., additional, Volders, Paul G.A., additional, Verhoeven, Karolien, additional, de Ruysscher, Dirk, additional, Verhoeff, Joost J.C., additional, Fast, Martin F., additional, Mandija, Stefano, additional, Cvek, Jakub, additional, Knybel, Lukas, additional, Dvorak, Pavel, additional, Blanck, Oliver, additional, and van Elmpt, Wouter, additional

Published
2023
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31. Stereotactic Arrhythmia Radioablation (STAR): Assessment of cardiac and respiratory heart motion in ventricular tachycardia patients - A STOPSTORM.eu consortium review

Author

Experimentele klinische fysica, Cancer, Circulatory Health, Computational Imaging, MS Radiotherapie, Stevens, Raoul R F, Hazelaar, Colien, Fast, Martin F, Mandija, Stefano, Grehn, Melanie, Cvek, Jakub, Knybel, Lukas, Dvorak, Pavel, Pruvot, Etienne, Verhoeff, Joost, Blanck, Oliver, van Elmpt, Wouter, Experimentele klinische fysica, Cancer, Circulatory Health, Computational Imaging, MS Radiotherapie, Stevens, Raoul R F, Hazelaar, Colien, Fast, Martin F, Mandija, Stefano, Grehn, Melanie, Cvek, Jakub, Knybel, Lukas, Dvorak, Pavel, Pruvot, Etienne, Verhoeff, Joost, Blanck, Oliver, and van Elmpt, Wouter

Published
2023

32. Data-driven electrical conductivity brain imaging using 3 T MRI

Author

Computational Imaging, Cancer, Jung, Kyu Jin, Mandija, Stefano, Cui, Chuanjiang, Kim, Jun Hyeong, Al-masni, Mohammed A., Meerbothe, Thierry G., Park, Mina, van den Berg, Cornelis A.T., Kim, Dong Hyun, Computational Imaging, Cancer, Jung, Kyu Jin, Mandija, Stefano, Cui, Chuanjiang, Kim, Jun Hyeong, Al-masni, Mohammed A., Meerbothe, Thierry G., Park, Mina, van den Berg, Cornelis A.T., and Kim, Dong Hyun

Published
2023

33. Real-time myocardial landmark tracking for MRI-guided cardiac radio-ablation using Gaussian Processes

Author

Cancer, Computational Imaging, Experimentele klinische fysica, Circulatory Health, MS Radiotherapie, MS Radiologie, Regenerative Medicine and Stem Cells, Huttinga, Niek Ricardo Ferdinand, Akdag, Osman, Fast, Martin F, Verhoeff, Joost J C, Mohamed Hoesein, Firdaus A A, Van den Berg, Cornelis A T, Sbrizzi, Alessandro, Mandija, Stefano, Cancer, Computational Imaging, Experimentele klinische fysica, Circulatory Health, MS Radiotherapie, MS Radiologie, Regenerative Medicine and Stem Cells, Huttinga, Niek Ricardo Ferdinand, Akdag, Osman, Fast, Martin F, Verhoeff, Joost J C, Mohamed Hoesein, Firdaus A A, Van den Berg, Cornelis A T, Sbrizzi, Alessandro, and Mandija, Stefano

Published
2023

34. STereotactic Arrhythmia Radioablation (STAR): the Standardized Treatment and Outcome Platform for Stereotactic Therapy Of Re-entrant tachycardia by a Multidisciplinary consortium (STOPSTORM.eu) and review of current patterns of STAR practice in Europe

Author

Computational Imaging, Cancer, Funding & Support, Team Medisch, Circulatory Health, Experimentele klinische fysica, MS Radiotherapie, Grehn, Melanie, Mandija, Stefano, Miszczyk, Marcin, Krug, David, Tomasik, Bartłomiej, Stickney, Kristine E, Alcantara, Pino, Alongi, Filippo, Anselmino, Matteo, Aranda, Ricardo Salgado, Balgobind, Brian V, Boda-Heggemann, Judit, Boldt, Leif-Hendrik, Bottoni, Nicola, Cvek, Jakub, Elicin, Olgun, De Ferrari, Gaetano Maria, Hassink, Rutger J, Hazelaar, Colien, Hindricks, Gerhard, Hurkmans, Coen, Iotti, Cinzia, Jadczyk, Tomasz, Jiravsky, Otakar, Jumeau, Raphaël, Buus Kristiansen, Steen, Levis, Mario, López, Manuel Algara, Martí-Almor, Julio, Mehrhof, Felix, Møller, Ditte Sloth, Molon, Giulio, Ouss, Alexandre, Peichl, Petr, Plasek, Jiri, Postema, Pieter G, Quesada, Aurelio, Reichlin, Tobias, Rordorf, Roberto, Rudic, Boris, Saguner, Ardan M, Ter Bekke, Rachel M A, Torrecilla, José López, Troost, Esther G C, Vitolo, Viviana, Andratschke, Nicolaus, Zeppenfeld, Katja, Blamek, Slawomir, Fast, Martin, de Panfilis, Ludovica, Blanck, Oliver, Pruvot, Etienne, Verhoeff, Joost J C, Computational Imaging, Cancer, Funding & Support, Team Medisch, Circulatory Health, Experimentele klinische fysica, MS Radiotherapie, Grehn, Melanie, Mandija, Stefano, Miszczyk, Marcin, Krug, David, Tomasik, Bartłomiej, Stickney, Kristine E, Alcantara, Pino, Alongi, Filippo, Anselmino, Matteo, Aranda, Ricardo Salgado, Balgobind, Brian V, Boda-Heggemann, Judit, Boldt, Leif-Hendrik, Bottoni, Nicola, Cvek, Jakub, Elicin, Olgun, De Ferrari, Gaetano Maria, Hassink, Rutger J, Hazelaar, Colien, Hindricks, Gerhard, Hurkmans, Coen, Iotti, Cinzia, Jadczyk, Tomasz, Jiravsky, Otakar, Jumeau, Raphaël, Buus Kristiansen, Steen, Levis, Mario, López, Manuel Algara, Martí-Almor, Julio, Mehrhof, Felix, Møller, Ditte Sloth, Molon, Giulio, Ouss, Alexandre, Peichl, Petr, Plasek, Jiri, Postema, Pieter G, Quesada, Aurelio, Reichlin, Tobias, Rordorf, Roberto, Rudic, Boris, Saguner, Ardan M, Ter Bekke, Rachel M A, Torrecilla, José López, Troost, Esther G C, Vitolo, Viviana, Andratschke, Nicolaus, Zeppenfeld, Katja, Blamek, Slawomir, Fast, Martin, de Panfilis, Ludovica, Blanck, Oliver, Pruvot, Etienne, and Verhoeff, Joost J C

Published
2023

35. Walking with the ISMRM in the footprints of our MR history

Author

Computational Imaging, Cancer, Mandija, Stefano, Ma, Chao, Bai, Ruiliang, Feng, Li, Giganti, Francesco, Ianus, Andrada, Lee, Hong-Hsi, Li, Fei, Welton, Thomas, Calamante, Fernando, Computational Imaging, Cancer, Mandija, Stefano, Ma, Chao, Bai, Ruiliang, Feng, Li, Giganti, Francesco, Ianus, Andrada, Lee, Hong-Hsi, Li, Fei, Welton, Thomas, and Calamante, Fernando

Published
2023

36. Synthetic MRI with Magnetic Resonance Spin TomogrAphy in Time-Domain (MR-STAT): Results from a Prospective Cross-Sectional Clinical Trial

Author

Computational Imaging, Cancer, MS Radiologie, Brain, Circulatory Health, Highfield Research Group, Divisie Beeld, Regenerative Medicine and Stem Cells, Kleinloog, Jordi P D, Mandija, Stefano, D'Agata, Federico, Liu, Hongyan, van der Heide, Oscar, Koktas, Beyza, Dankbaar, Jan Willem, Keil, Vera C, Vonken, Evert-Jan, Jacobs, Sarah M, van den Berg, Cornelis A T, Hendrikse, Jeroen, van der Kolk, Anja G, Sbrizzi, Alessandro, Computational Imaging, Cancer, MS Radiologie, Brain, Circulatory Health, Highfield Research Group, Divisie Beeld, Regenerative Medicine and Stem Cells, Kleinloog, Jordi P D, Mandija, Stefano, D'Agata, Federico, Liu, Hongyan, van der Heide, Oscar, Koktas, Beyza, Dankbaar, Jan Willem, Keil, Vera C, Vonken, Evert-Jan, Jacobs, Sarah M, van den Berg, Cornelis A T, Hendrikse, Jeroen, van der Kolk, Anja G, and Sbrizzi, Alessandro

Published
2023

37. Unrolled Microwave Imaging via Physics-assisted Deep Learning

Author

Computational Imaging, Cancer, Zumbo, Sabrina, Mandija, Stefano, Van Den Berg, Cornelis A.T., Bevacqua, Martina T., Isernia, Tommaso, Computational Imaging, Cancer, Zumbo, Sabrina, Mandija, Stefano, Van Den Berg, Cornelis A.T., Bevacqua, Martina T., and Isernia, Tommaso

Published
2023

38. STereotactic Arrhythmia Radioablation (STAR): the Standardized Treatment and Outcome Platform for Stereotactic Therapy Of Re-entrant tachycardia by a Multidisciplinary consortium (STOPSTORM.eu) and review of current patterns of STAR practice in Europe

Author

Grehn, Melanie; https://orcid.org/0000-0002-6170-5122, Mandija, Stefano; https://orcid.org/0000-0002-4612-5509, Miszczyk, Marcin; https://orcid.org/0000-0002-4375-0827, Krug, David; https://orcid.org/0000-0001-8811-5416, Tomasik, Bartłomiej; https://orcid.org/0000-0001-5648-345X, Stickney, Kristine E, Alcantara, Pino; https://orcid.org/0000-0001-5744-9480, Alongi, Filippo, Anselmino, Matteo; https://orcid.org/0000-0002-6311-4270, Aranda, Ricardo Salgado; https://orcid.org/0000-0002-2627-8436, Balgobind, Brian V, Boda-Heggemann, Judit, Boldt, Leif-Hendrik, Bottoni, Nicola, Cvek, Jakub; https://orcid.org/0000-0003-1579-1792, Elicin, Olgun; https://orcid.org/0000-0002-6996-0646, De Ferrari, Gaetano Maria; https://orcid.org/0000-0003-4940-0876, Hassink, Rutger J; https://orcid.org/0000-0003-0237-7867, Hazelaar, Colien, Hindricks, Gerhard; https://orcid.org/0000-0002-0132-0773, Hurkmans, Coen; https://orcid.org/0000-0003-2268-0492, Iotti, Cinzia; https://orcid.org/0000-0001-9686-7298, Jadczyk, Tomasz; https://orcid.org/0000-0002-7955-9100, Jiravsky, Otakar; https://orcid.org/0000-0001-9334-5734, Jumeau, Raphaël; https://orcid.org/0000-0002-0098-8835, Kristiansen, Steen Buus, Levis, Mario; https://orcid.org/0000-0002-7668-3296, López, Manuel Algara; https://orcid.org/0000-0002-0500-9202, Martí-Almor, Julio; https://orcid.org/0000-0001-9927-1190, Mehrhof, Felix; https://orcid.org/0000-0003-0553-4290, et al, Grehn, Melanie; https://orcid.org/0000-0002-6170-5122, Mandija, Stefano; https://orcid.org/0000-0002-4612-5509, Miszczyk, Marcin; https://orcid.org/0000-0002-4375-0827, Krug, David; https://orcid.org/0000-0001-8811-5416, Tomasik, Bartłomiej; https://orcid.org/0000-0001-5648-345X, Stickney, Kristine E, Alcantara, Pino; https://orcid.org/0000-0001-5744-9480, Alongi, Filippo, Anselmino, Matteo; https://orcid.org/0000-0002-6311-4270, Aranda, Ricardo Salgado; https://orcid.org/0000-0002-2627-8436, Balgobind, Brian V, Boda-Heggemann, Judit, Boldt, Leif-Hendrik, Bottoni, Nicola, Cvek, Jakub; https://orcid.org/0000-0003-1579-1792, Elicin, Olgun; https://orcid.org/0000-0002-6996-0646, De Ferrari, Gaetano Maria; https://orcid.org/0000-0003-4940-0876, Hassink, Rutger J; https://orcid.org/0000-0003-0237-7867, Hazelaar, Colien, Hindricks, Gerhard; https://orcid.org/0000-0002-0132-0773, Hurkmans, Coen; https://orcid.org/0000-0003-2268-0492, Iotti, Cinzia; https://orcid.org/0000-0001-9686-7298, Jadczyk, Tomasz; https://orcid.org/0000-0002-7955-9100, Jiravsky, Otakar; https://orcid.org/0000-0001-9334-5734, Jumeau, Raphaël; https://orcid.org/0000-0002-0098-8835, Kristiansen, Steen Buus, Levis, Mario; https://orcid.org/0000-0002-7668-3296, López, Manuel Algara; https://orcid.org/0000-0002-0500-9202, Martí-Almor, Julio; https://orcid.org/0000-0001-9927-1190, Mehrhof, Felix; https://orcid.org/0000-0003-0553-4290, and et al

Abstract

The EU Horizon 2020 Framework-funded Standardized Treatment and Outcome Platform for Stereotactic Therapy Of Re-entrant tachycardia by a Multidisciplinary (STOPSTORM) consortium has been established as a large research network for investigating STereotactic Arrhythmia Radioablation (STAR) for ventricular tachycardia (VT). The aim is to provide a pooled treatment database to evaluate patterns of practice and outcomes of STAR and finally to harmonize STAR within Europe. The consortium comprises 31 clinical and research institutions. The project is divided into nine work packages (WPs): (i) observational cohort; (ii) standardization and harmonization of target delineation; (iii) harmonized prospective cohort; (iv) quality assurance (QA); (v) analysis and evaluation; (vi, ix) ethics and regulations; and (vii, viii) project coordination and dissemination. To provide a review of current clinical STAR practice in Europe, a comprehensive questionnaire was performed at project start. The STOPSTORM Institutions' experience in VT catheter ablation (83% ≥ 20 ann.) and stereotactic body radiotherapy (59% > 200 ann.) was adequate, and 84 STAR treatments were performed until project launch, while 8/22 centres already recruited VT patients in national clinical trials. The majority currently base their target definition on mapping during VT (96%) and/or pace mapping (75%), reduced voltage areas (63%), or late ventricular potentials (75%) during sinus rhythm. The majority currently apply a single-fraction dose of 25 Gy while planning techniques and dose prescription methods vary greatly. The current clinical STAR practice in the STOPSTORM consortium highlights potential areas of optimization and harmonization for substrate mapping, target delineation, motion management, dosimetry, and QA, which will be addressed in the various WPs.

Published
2023

40. PATTERN-OF-PRACTISE, MULTI-CENTRE BENCHMARKS AND CREDENTIALING WORKFLOW FOR CONTOURING, TREATMENT PLANNING AND DELIVERY OF STEREOTACTIC ARRHYTHMIA RADIOABLATION FROM THE STOPSTORM.EU CONSORTIUM

Author

Grehn, Melanie, primary, Balgobind, Brian V., additional, Trojani, Valeria, additional, Visser, Jorrit, additional, Botti, Andrea, additional, Dolla, Lukasz, additional, van Elmpt, Wouter, additional, Hurkmans, Coen, additional, Schweikard, Achim, additional, Fast, Martin, additional, Mandija, Stefano, additional, Both, Marcus, additional, Zeppenfeld, Katja, additional, Postema, Pieter G., additional, Andratschke, Nicolaus, additional, Miszczyk, Marcin, additional, Pruvot, Etienne, additional, Verhoeff, Joost, additional, Iori, Mauro, additional, and Blanck, Oliver, additional

Published
2022
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41. Walking With the ISMRM in the Footprints of Our MR History

Author

Mandija, Stefano, primary, Ma, Chao, additional, Bai, Ruiliang, additional, Feng, Li, additional, Giganti, Francesco, additional, Ianus, Andrada, additional, Lee, Hong‐Hsi, additional, Li, Fei, additional, Welton, Thomas, additional, and Calamante, Fernando, additional

Published
2022
Full Text
View/download PDF

43. Synthetic MRI with Magnetic Resonance Spin TomogrAphy in Time‐Domain (MR‐STAT): Results from a Prospective Cross‐Sectional Clinical Trial

Author

Kleinloog, Jordi P. D., primary, Mandija, Stefano, additional, D'Agata, Federico, additional, Liu, Hongyan, additional, van der Heide, Oscar, additional, Koktas, Beyza, additional, Dankbaar, Jan Willem, additional, Keil, Vera C., additional, Vonken, Evert‐Jan, additional, Jacobs, Sarah M., additional, van den Berg, Cornelis A. T., additional, Hendrikse, Jeroen, additional, van der Kolk, Anja G., additional, and Sbrizzi, Alessandro, additional

Published
2022
Full Text
View/download PDF

44. Dynamic Contrast-enhanced and Diffusion-weighted Magnetic Resonance Imaging for Response Evaluation After Single-Dose Ablative Neoadjuvant Partial Breast Irradiation

Author

Vasmel, Jeanine E., Groot Koerkamp, Maureen L., Mandija, Stefano, Veldhuis, Wouter B., Moman, Maaike R., Froeling, Martijn, van der Velden, Bas H.M., Charaghvandi, Ramona K., Vreuls, Celien P.H., van Diest, Paul J., van Leeuwen, A.M.G., van Gorp, Joost, Philippens, Marielle E.P., van Asselen, Bram, Lagendijk, Jan J.W., Verkooijen, Helena M., van den Bongard, H.J.G.D., Houweling, Antonetta C., Vasmel, Jeanine E., Groot Koerkamp, Maureen L., Mandija, Stefano, Veldhuis, Wouter B., Moman, Maaike R., Froeling, Martijn, van der Velden, Bas H.M., Charaghvandi, Ramona K., Vreuls, Celien P.H., van Diest, Paul J., van Leeuwen, A.M.G., van Gorp, Joost, Philippens, Marielle E.P., van Asselen, Bram, Lagendijk, Jan J.W., Verkooijen, Helena M., van den Bongard, H.J.G.D., and Houweling, Antonetta C.

Abstract

Purpose: We aimed to evaluate changes in dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) magnetic resonance imaging (MRI) scans acquired before and after single-dose ablative neoadjuvant partial breast irradiation (NA-PBI), and explore the relation between semiquantitative MRI parameters and radiologic and pathologic responses. Methods and Materials: We analyzed 3.0T DCE and DW-MRI of 36 patients with low-risk breast cancer who were treated with single-dose NA-PBI, followed by breast-conserving surgery 6 or 8 months later. MRI was acquired before NA-PBI and 1 week, 2, 4, and 6 months after NA-PBI. Breast radiologists assessed the radiologic response and breast pathologists scored the pathologic response after surgery. Patients were grouped as either pathologic responders or nonresponders (

Published
2022

45. Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC Within 3 Minutes

Author

Cancer, Computational Imaging, Circulatory Health, Regenerative Medicine and Stem Cells, Liu, Hongyan, van der Heide, Oscar, Mandija, Stefano, van den Berg, Cornelis A. T., Sbrizzi, Alessandro, Cancer, Computational Imaging, Circulatory Health, Regenerative Medicine and Stem Cells, Liu, Hongyan, van der Heide, Oscar, Mandija, Stefano, van den Berg, Cornelis A. T., and Sbrizzi, Alessandro

Published
2022

46. Intrafraction motion during radiotherapy of breast tumor, breast tumor bed, and individual axillary lymph nodes on cine magnetic resonance imaging

Author

Experimentele klinische fysica, Cancer, Klinische Fysica RT, MS Radiotherapie, Computational Imaging, Groot Koerkamp, Maureen L, van den Bongard, H J G Desirée, Philippens, Marielle E P, van der Leij, Femke, Mandija, Stefano, Houweling, Antonetta C, Experimentele klinische fysica, Cancer, Klinische Fysica RT, MS Radiotherapie, Computational Imaging, Groot Koerkamp, Maureen L, van den Bongard, H J G Desirée, Philippens, Marielle E P, van der Leij, Femke, Mandija, Stefano, and Houweling, Antonetta C

Published
2022

47. First experimental exploration of real-time cardiorespiratory motion management for future stereotactic arrhythmia radioablation treatments on the MR-linac

Author

Experimentele klinische fysica, Cancer, Klinische Fysica RT, Computational Imaging, MS Radiotherapie, Akdag, Osman, Borman, Pim T S, Woodhead, Peter L, Uijtewaal, Prescilla, Mandija, Stefano, van Asselen, Bram, Verhoeff, Joost J C, Raaymakers, Bas W, Fast, Martin F, Experimentele klinische fysica, Cancer, Klinische Fysica RT, Computational Imaging, MS Radiotherapie, Akdag, Osman, Borman, Pim T S, Woodhead, Peter L, Uijtewaal, Prescilla, Mandija, Stefano, van Asselen, Bram, Verhoeff, Joost J C, Raaymakers, Bas W, and Fast, Martin F

Published
2022

48. Feasibility of cardiac-synchronized quantitative T1 and T2 mapping on a hybrid 1.5 Tesla magnetic resonance imaging and linear accelerator system

Author

Experimentele klinische fysica, Cancer, Computational Imaging, Klinische Fysica RT, Team Medisch, Circulatory Health, MS Radiotherapie, MS Radiologie, Akdag, Osman, Mandija, Stefano, van Lier, Astrid L H M W, Borman, PTS, Schakel, Tim, Alberts, Eveline, van der Heide, Oscar, Hassink, Rutger J, Verhoeff, Joost J C, Mohamed Hoesein, Firdaus A A, Raaymakers, Bas W, Fast, Martin F, Experimentele klinische fysica, Cancer, Computational Imaging, Klinische Fysica RT, Team Medisch, Circulatory Health, MS Radiotherapie, MS Radiologie, Akdag, Osman, Mandija, Stefano, van Lier, Astrid L H M W, Borman, PTS, Schakel, Tim, Alberts, Eveline, van der Heide, Oscar, Hassink, Rutger J, Verhoeff, Joost J C, Mohamed Hoesein, Firdaus A A, Raaymakers, Bas W, and Fast, Martin F

Published
2022

49. Activity-dependent spinal cord neuromodulation rapidly restores trunk and leg motor functions after complete paralysis

Author

Computational Imaging, Cancer, Highfield Research Group, Brain, Circulatory Health, Rowald, Andreas, Komi, Salif, Demesmaeker, Robin, Baaklini, Edeny, Hernandez-Charpak, Sergio Daniel, Paoles, Edoardo, Montanaro, Hazael, Cassara, Antonino, Becce, Fabio, Lloyd, Bryn, Newton, Taylor, Ravier, Jimmy, Kinany, Nawal, D'Ercole, Marina, Paley, Aurélie, Hankov, Nicolas, Varescon, Camille, McCracken, Laura, Vat, Molywan, Caban, Miroslav, Watrin, Anne, Jacquet, Charlotte, Bole-Feysot, Léa, Harte, Cathal, Lorach, Henri, Galvez, Andrea, Tschopp, Manon, Herrmann, Natacha, Wacker, Moïra, Geernaert, Lionel, Fodor, Isabelle, Radevich, Valentin, Van Den Keybus, Katrien, Eberle, Grégoire, Pralong, Etienne, Roulet, Maxime, Ledoux, Jean-Baptiste, Fornari, Eleonora, Mandija, Stefano, Mattera, Loan, Martuzzi, Roberto, Nazarian, Bruno, Benkler, Stefan, Callegari, Simone, Greiner, Nathan, Fuhrer, Benjamin, Froeling, Martijn, Buse, Nik, Denison, Tim, Buschman, Rik, Wende, Christian, Ganty, Damien, Bakker, Jurriaan, Delattre, Vincent, Lambert, Hendrik, Minassian, Karen, van den Berg, Cornelis A T, Kavounoudias, Anne, Micera, Silvestro, Van De Ville, Dimitri, Barraud, Quentin, Kurt, Erkan, Kuster, Niels, Neufeld, Esra, Capogrosso, Marco, Asboth, Leonie, Wagner, Fabien B, Bloch, Jocelyne, Courtine, Grégoire, Computational Imaging, Cancer, Highfield Research Group, Brain, Circulatory Health, Rowald, Andreas, Komi, Salif, Demesmaeker, Robin, Baaklini, Edeny, Hernandez-Charpak, Sergio Daniel, Paoles, Edoardo, Montanaro, Hazael, Cassara, Antonino, Becce, Fabio, Lloyd, Bryn, Newton, Taylor, Ravier, Jimmy, Kinany, Nawal, D'Ercole, Marina, Paley, Aurélie, Hankov, Nicolas, Varescon, Camille, McCracken, Laura, Vat, Molywan, Caban, Miroslav, Watrin, Anne, Jacquet, Charlotte, Bole-Feysot, Léa, Harte, Cathal, Lorach, Henri, Galvez, Andrea, Tschopp, Manon, Herrmann, Natacha, Wacker, Moïra, Geernaert, Lionel, Fodor, Isabelle, Radevich, Valentin, Van Den Keybus, Katrien, Eberle, Grégoire, Pralong, Etienne, Roulet, Maxime, Ledoux, Jean-Baptiste, Fornari, Eleonora, Mandija, Stefano, Mattera, Loan, Martuzzi, Roberto, Nazarian, Bruno, Benkler, Stefan, Callegari, Simone, Greiner, Nathan, Fuhrer, Benjamin, Froeling, Martijn, Buse, Nik, Denison, Tim, Buschman, Rik, Wende, Christian, Ganty, Damien, Bakker, Jurriaan, Delattre, Vincent, Lambert, Hendrik, Minassian, Karen, van den Berg, Cornelis A T, Kavounoudias, Anne, Micera, Silvestro, Van De Ville, Dimitri, Barraud, Quentin, Kurt, Erkan, Kuster, Niels, Neufeld, Esra, Capogrosso, Marco, Asboth, Leonie, Wagner, Fabien B, Bloch, Jocelyne, and Courtine, Grégoire

Published
2022

50. MRI of the intraspinal nerve roots in patients with chronic inflammatory neuropathies: abnormalities correlate with clinical phenotypes

Author

Projectafdeling SvS, Highfield Research Group, Brain, Circulatory Health, Cancer, Computational Imaging, Researchgr. Neuroradiologie, Neurologen, van Rosmalen, Marieke H.J., Froeling, Martijn, Mandija, Stefano, Hendrikse, Jeroen, van der Pol, W. Ludo, Stephan Goedee, H., Projectafdeling SvS, Highfield Research Group, Brain, Circulatory Health, Cancer, Computational Imaging, Researchgr. Neuroradiologie, Neurologen, van Rosmalen, Marieke H.J., Froeling, Martijn, Mandija, Stefano, Hendrikse, Jeroen, van der Pol, W. Ludo, and Stephan Goedee, H.

Published
2022

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