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1,918 results on '"Pennell, Dudley J."'

1. Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Author

Wang, Fanwen, Luo, Yihao, Wen, Ke, Huang, Jiahao, Ferreira, Pedro F., Luo, Yaqing, Wu, Yinzhe, Munoz, Camila, Pennell, Dudley J., Scott, Andrew D., Nielles-Vallespin, Sonia, and Yang, Guang

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

Diffusion tensor based cardiovascular magnetic resonance (DT-CMR) offers a non-invasive method to visualize the myocardial microstructure. With the assumption that the heart is stationary, frames are acquired with multiple repetitions for different diffusion encoding directions. However, motion from poor breath-holding and imprecise cardiac triggering complicates DT-CMR analysis, further challenged by its inherently low SNR, varied contrasts, and diffusion induced textures. Our solution is a novel framework employing groupwise registration with an implicit template to isolate respiratory and cardiac motions, while a tensor-embedded branch preserves diffusion contrast textures. We have devised a loss refinement tailored for non-linear least squares fitting and low SNR conditions. Additionally, we introduce new physics-based and clinical metrics for performance evaluation. Access code and supplementary materials at: https://github.com/ayanglab/DTCMR-Reg, Comment: Accepted by MICCAI 2024

Published
2024

2. Low-rank based motion correction followed by automatic frame selection in DT-CMR

Author

Wang, Fanwen, Ferreira, Pedro F., Munoz, Camila, Wen, Ke, Luo, Yaqing, Huang, Jiahao, Wu, Yinzhe, Pennell, Dudley J., Scott, Andrew D., Nielles-Vallespin, Sonia, and Yang, Guang

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

Motivation: Post-processing of in-vivo diffusion tensor CMR (DT-CMR) is challenging due to the low SNR and variation in contrast between frames which makes image registration difficult, and the need to manually reject frames corrupted by motion. Goals: To develop a semi-automatic post-processing pipeline for robust DT-CMR registration and automatic frame selection. Approach: We used low intrinsic rank averaged frames as the reference to register other low-ranked frames. A myocardium-guided frame selection rejected the frames with signal loss, through-plane motion and poor registration. Results: The proposed method outperformed our previous noise-robust rigid registration on helix angle data quality and reduced negative eigenvalues in healthy volunteers., Comment: Accepted as ISMRM 2024 Digital poster 2141

Published
2024

4. Efficient Post-processing of Diffusion Tensor Cardiac Magnetic Imaging Using Texture-conserving Deformable Registration

Author

Wang, Fanwen, Ferreira, Pedro F., Wu, Yinzhe, Munoz, Camila, Wen, Ke, Luo, Yaqing, Huang, Jiahao, Pennell, Dudley J., Scott, Andrew D., Nielles-Vallespin, Sonia, and Yang, Guang

Subjects
Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Diffusion tensor cardiac magnetic resonance (DT-CMR) is a method capable of providing non-invasive measurements of myocardial microstructure. Image registration is essential to correct image shifts due to intra and inter breath-hold motion and imperfect cardiac triggering. Registration is challenging in DT-CMR due to the low signal-to-noise and various contrasts induced by the diffusion encoding in the myocardium and surrounding organs. Traditional deformable registration corrects through-plane motion but at the risk of destroying the texture information while rigid registration inefficiently discards frames with local deformation. In this study, we explored the possibility of deep learning-based deformable registration on DT-CMR. Based on the noise suppression using low-rank features and diffusion encoding suppression using variational auto encoder-decoder, a B-spline based registration network extracted the displacement fields and maintained the texture features of DT-CMR. In this way, our method improved the efficiency of frame utilization, manual cropping, and computational speed., Comment: 7 pages, 4 figures, conference

Published
2023

6. Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study

Author

Huang, Jiahao, Ferreira, Pedro F., Wang, Lichao, Wu, Yinzhe, Aviles-Rivero, Angelica I., Schonlieb, Carola-Bibiane, Scott, Andrew D., Khalique, Zohya, Dwornik, Maria, Rajakulasingam, Ramyah, De Silva, Ranil, Pennell, Dudley J., Nielles-Vallespin, Sonia, and Yang, Guang

Subjects
Physics - Medical Physics, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

In vivo cardiac diffusion tensor imaging (cDTI) is a promising Magnetic Resonance Imaging (MRI) technique for evaluating the micro-structure of myocardial tissue in the living heart, providing insights into cardiac function and enabling the development of innovative therapeutic strategies. However, the integration of cDTI into routine clinical practice is challenging due to the technical obstacles involved in the acquisition, such as low signal-to-noise ratio and long scanning times. In this paper, we investigate and implement three different types of deep learning-based MRI reconstruction models for cDTI reconstruction. We evaluate the performance of these models based on reconstruction quality assessment and diffusion tensor parameter assessment. Our results indicate that the models we discussed in this study can be applied for clinical use at an acceleration factor (AF) of $\times 2$ and $\times 4$, with the D5C5 model showing superior fidelity for reconstruction and the SwinMR model providing higher perceptual scores. There is no statistical difference with the reference for all diffusion tensor parameters at AF $\times 2$ or most DT parameters at AF $\times 4$, and the quality of most diffusion tensor parameter maps are visually acceptable. SwinMR is recommended as the optimal approach for reconstruction at AF $\times 2$ and AF $\times 4$. However, we believed the models discussed in this studies are not prepared for clinical use at a higher AF. At AF $\times 8$, the performance of all models discussed remains limited, with only half of the diffusion tensor parameters being recovered to a level with no statistical difference from the reference. Some diffusion tensor parameter maps even provide wrong and misleading information., Comment: 15 pages, 8 figures

Published
2023

8. Assessment of left ventricular tissue mitochondrial bioenergetics in patients with stable coronary artery disease

Author

Jones, Richard E., Gruszczyk, Anja V., Schmidt, Christina, Hammersley, Daniel J., Mach, Lukas, Lee, Michael, Wong, Joyce, Yang, Ming, Hatipoglu, Suzan, Lota, Amrit S., Barnett, Sam N., Toscano-Rivalta, Rebecca, Owen, Ruth, Raja, Shahzad, De Robertis, Fabio, Smail, Hassiba, De-Souza, Anthony, Stock, Ulrich, Kellman, Peter, Griffin, Julian, Dumas, Marc-Emmanuel, Martin, Jack L., Saeb-Parsy, Kourosh, Vazir, Ali, Cleland, John G. F., Pennell, Dudley J., Bhudia, Sunil K., Halliday, Brian P., Noseda, Michela, Frezza, Christian, Murphy, Michael P., and Prasad, Sanjay K.

Published
2023
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12. Sex Differences in the Clinical Presentation and Natural History of Dilated Cardiomyopathy

Author

Owen, Ruth, Buchan, Rachel, Frenneaux, Michael, Jarman, Julian W.E., Baruah, Resham, Lota, Amrit S., Halliday, Brian P., Roberts, Angharad M., Izgi, Cemil, Van Spall, Harriette G.C., Michos, Erin D., McMurray, John J.V., Januzzi, James L., Pennell, Dudley J., Cook, Stuart A., Ware, James S., Barton, Paul J., Gregson, John, Prasad, Sanjay K., and Tayal, Upasana

Published
2024
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14. Stress Perfusion Cardiac Magnetic Resonance vs SPECT Imaging for Detection of Coronary Artery Disease

Author

Arai, Andrew E., Schulz-Menger, Jeanette, Shah, Dipan J., Han, Yuchi, Bandettini, W. Patricia, Abraham, Arun, Woodard, Pamela K., Selvanayagam, Joseph B., Hamilton-Craig, Christian, Tan, Ru-San, Carr, James, Teo, Lynette, Kramer, Christopher M., Wintersperger, Bernd J., Harisinghani, Mukesh G., Flamm, Scott D., Friedrich, Matthias G., Klem, Igor, Raman, Subha V., Haverstock, Daniel, Liu, Zheyu, Brueggenwerth, Guenther, Santiuste, Marta, Berman, Daniel S., and Pennell, Dudley J.

Published
2023
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18. Comprehensive Phenotypic Characterization of Late Gadolinium Enhancement Predicts Sudden Cardiac Death in Coronary Artery Disease

Author

Jones, Richard E., Zaidi, Hassan A., Hammersley, Daniel J., Hatipoglu, Suzan, Owen, Ruth, Balaban, Gabriel, de Marvao, Antonio, Simard, François, Lota, Amrit S., Mahon, Ciara, Almogheer, Batool, Mach, Lukas, Musella, Francesca, Chen, Xiuyu, Gregson, John, Lazzari, Laura, Ravendren, Andrew, Leyva, Francisco, Zhao, Shihua, Vazir, Ali, Lamata, Pablo, Halliday, Brian P., Pennell, Dudley J., Bishop, Martin J., and Prasad, Sanjay K.

Published
2023
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20. Precision Phenotyping of Dilated Cardiomyopathy Using Multidimensional Data

Author

Tayal, Upasana, Verdonschot, Job A.J., Hazebroek, Mark R., Howard, James, Gregson, John, Newsome, Simon, Gulati, Ankur, Pua, Chee Jian, Halliday, Brian P., Lota, Amrit S., Buchan, Rachel J., Whiffin, Nicola, Kanapeckaite, Lina, Baruah, Resham, Jarman, Julian W.E., O’Regan, Declan P., Barton, Paul J.R., Ware, James S., Pennell, Dudley J., Adriaans, Bouke P., Bekkers, Sebastiaan C.A.M., Donovan, Jackie, Frenneaux, Michael, Cooper, Leslie T., Januzzi, James L., Jr., Cleland, John G.F., Cook, Stuart A., Deo, Rahul C., Heymans, Stephane R.B., and Prasad, Sanjay K.

Published
2022
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22. Cardiovascular Magnetic Resonance for Patients With COVID-19

Author

Petersen, Steffen E., Friedrich, Matthias G., Leiner, Tim, Elias, Matthew D., Ferreira, Vanessa M., Fenski, Maximilian, Flamm, Scott D., Fogel, Mark, Garg, Ria, Halushka, Marc K., Hays, Allison G., Kawel-Boehm, Nadine, Kramer, Christopher M., Nagel, Eike, Ntusi, Ntobeko A.B., Ostenfeld, Ellen, Pennell, Dudley J., Raisi-Estabragh, Zahra, Reeder, Scott B., Rochitte, Carlos E., Starekova, Jitka, Suchá, Dominika, Tao, Qian, Schulz-Menger, Jeanette, and Bluemke, David A.

Published
2022
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23. Society for Cardiovascular Magnetic Resonance (SCMR) guidelines for reporting cardiovascular magnetic resonance examinations

Author

Hundley, W. Gregory, Bluemke, David A., Bogaert, Jan, Flamm, Scott D., Fontana, Marianna, Friedrich, Matthias G., Grosse-Wortmann, Lars, Karamitsos, Theodoros D., Kramer, Christopher M., Kwong, Raymond Y., McConnell, Michael, Nagel, Eike, Neubauer, Stefan, Nijveldt, Robin, Pennell, Dudley J., Petersen, Steffen E., Raman, Subha V., and van Rossum, Albert

Published
2022
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26. Evaluation of the impact of strain correction on the orientation of cardiac diffusion tensors with in vivo and ex vivo porcine hearts

Author

Ferreira, Pedro F, Nielles‐Vallespin, Sonia, Scott, Andrew D, Silva, Ranil, Kilner, Philip J, Ennis, Daniel B, Auger, Daniel A, Suever, Jonathan D, Zhong, Xiaodong, Spottiswoode, Bruce S, Pennell, Dudley J, Arai, Andrew E, and Firmin, David N

Subjects
Biomedical Imaging, Cardiovascular, Heart Disease, Algorithms, Animals, Computer Simulation, Diastole, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Echo-Planar Imaging, Heart, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Cine, Respiration, Respiration, Artificial, Software, Stress, Mechanical, Swine, Systole, cardiac, diffusion tensor imaging, strain, microstructure, cardiomyocyte, sheetlets, Biomedical Engineering, Nuclear Medicine & Medical Imaging
Abstract

PurposeTo evaluate the importance of strain-correcting stimulated echo acquisition mode echo-planar imaging cardiac diffusion tensor imaging.MethodsHealthy pigs (n = 11) were successfully scanned with a 3D cine displacement-encoded imaging with stimulated echoes and a monopolar-stimulated echo-planar imaging diffusion tensor imaging sequence at 3 T during diastasis, peak systole, and strain sweet spots in a midventricular short-axis slice. The same diffusion tensor imaging sequence was repeated ex vivo after arresting the hearts in either a relaxed (KCl-induced) or contracted (BaCl2 -induced) state. The displacement-encoded imaging with stimulated echoes data were used to strain-correct the in vivo cardiac diffusion tensor imaging in diastole and systole. The orientation of the primary (helix angles) and secondary (E2A) diffusion eigenvectors was compared with and without strain correction and to the strain-free ex vivo data.ResultsStrain correction reduces systolic E2A significantly when compared without strain correction and ex vivo (median absolute E2A = 34.3° versus E2A = 57.1° (P = 0.01), E2A = 60.5° (P = 0.006), respectively). The systolic distribution of E2A without strain correction is closer to the contracted ex vivo distribution than with strain correction, root mean square deviation of 0.027 versus 0.038.ConclusionsThe current strain-correction model amplifies the contribution of microscopic strain to diffusion resulting in an overcorrection of E2A. Results show that a new model that considers cellular rearrangement is required. Magn Reson Med 79:2205-2215, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Published
2018

27. Prognostic Significance of Nonischemic Myocardial Fibrosis in Patients With Normal LV Volumes and Ejection-Fraction

Author

Lota, Amrit S., Tsao, Adam, Owen, Ruth, Halliday, Brian P., Auger, Dominique, Vassiliou, Vassilios S., Tayal, Upasana, Almogheer, Batool, Vilches, Silvia, Al-Balah, Amer, Patel, Akhil, Mouy, Florence, Buchan, Rachel, Newsome, Simon, Gregson, John, Ware, James S., Cook, Stuart A., Cleland, John G.F., Pennell, Dudley J., and Prasad, Sanjay K.

Published
2021
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28. Comparative prognostic importance of measures of left atrial structure and function in non-ischaemic dilated cardiomyopathy

Author

Hammersley, Daniel J, primary, Mukhopadhyay, Srinjay, additional, Chen, Xiuyu, additional, Cheng, Leanne, additional, Jones, Richard E, additional, Mach, Lukas, additional, Curran, Lara, additional, Yazdani, Momina, additional, Iacob, Alma, additional, Lota, Amrit S, additional, Khalique, Zohya, additional, De Marvao, Antonio, additional, Baruah, Resham, additional, Guha, Kaushik, additional, Ware, James S, additional, Gregson, John, additional, Zhao, Shihua, additional, Pennell, Dudley J, additional, Tayal, Upasana, additional, Prasad, Sanjay K, additional, and Halliday, Brian P, additional

Published
2024
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29. Deep learning-based diffusion tensor cardiac magnetic resonance reconstruction: a comparison study

Author

Huang, Jiahao, primary, Ferreira, Pedro F., additional, Wang, Lichao, additional, Wu, Yinzhe, additional, Aviles-Rivero, Angelica I., additional, Schönlieb, Carola-Bibiane, additional, Scott, Andrew D., additional, Khalique, Zohya, additional, Dwornik, Maria, additional, Rajakulasingam, Ramyah, additional, De Silva, Ranil, additional, Pennell, Dudley J., additional, Nielles-Vallespin, Sonia, additional, and Yang, Guang, additional

Published
2024
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30. Erratum for: Echocardiography versus Cardiac MRI for Measurement of Left Ventricular Ejection Fraction in Individuals with Cancer and Suspected Cardiotoxicity

Author

Nazir, Muhummad Sohaib, primary, Okafor, Joseph, additional, Murphy, Theodore, additional, Andres, Maria Sol, additional, Ramalingham, Sivatharshini, additional, Rosen, Stuart D., additional, Chiribiri, Amedeo, additional, Plein, Sven, additional, Prasad, Sanjay, additional, Mohiaddin, Raad, additional, Pennell, Dudley J., additional, Baksi, A. John, additional, Khattar, Rajdeep, additional, and Lyon, Alexander R., additional

Published
2024
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36. Late-Gadolinium Enhancement Interface Area and Electrophysiological Simulations Predict Arrhythmic Events in Patients With Nonischemic Dilated Cardiomyopathy

Author

Balaban, Gabriel, Halliday, Brian P., Porter, Bradley, Bai, Wenjia, Nygåard, Ståle, Owen, Ruth, Hatipoglu, Suzan, Ferreira, Nuno Dias, Izgi, Cemil, Tayal, Upasana, Corden, Ben, Ware, James, Pennell, Dudley J., Rueckert, Daniel, Plank, Gernot, Rinaldi, Christopher A., Prasad, Sanjay K., and Bishop, Martin J.

Published
2021
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38. Referenceless Nyquist ghost correction outperforms standard navigator-based method and improves efficiency of in vivo diffusion tensor cardiovascular magnetic resonance.

Author

Zimu Huo, Ke Wen, Yaqing Luo, Neji, Radhouene, Kunze, Karl P., Ferreira, Pedro F., Pennell, Dudley J., Scott, Andrew D., and Nielles-Vallespin, Sonia

Subjects
MAGNETIC resonance, SINGULAR value decomposition
Abstract

Purpose: The study aims to assess the potential of referenceless methods of EPI ghost correction to accelerate the acquisition of in vivo diffusion tensor cardiovascular magnetic resonance (DT-CMR) data using both computational simulations and data from in vivo experiments. Methods: Three referenceless EPI ghost correction methods were evaluated on mid-ventricular short axis DT-CMR spin echo and STEAM datasets from 20 healthy subjects at 3T. The reduced field of view excitation technique was used to automatically quantify the Nyquist ghosts, and DT-CMR images were fit to a linear ghost model for correction. Results: Numerical simulation showed the singular value decomposition (SVD) method is the least sensitive to noise, followed by Ghost/Object method and entropy-based method. In vivo experiments showed significant ghost reduction for all correctionmethods, with referencelessmethods outperforming navigator methods for both spin echo and STEAM sequences at b = 32, 150, 450, and 600 smm-2. It isworth noting that as the strength of the diffusion encoding increases, the performance gap between the referencelessmethod and the navigator-based method diminishes. Conclusion: Referenceless ghost correction effectively reduces Nyquist ghost in DT-CMR data, showing promise for enhancing the accuracy and efficiency of measurements in clinical practice without the need for any additional reference scans. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Value of Formalin Fixation for the Prolonged Preservation of Rodent Myocardial Microanatomical Organization: Evidence by MR Diffusion Tensor Imaging

Author

Giannakidis, Archontis, Gullberg, Grant T, Pennell, Dudley J, and Firmin, David N

Subjects
Biomedical and Clinical Sciences, Engineering, Biomedical Engineering, Heart Disease, Cardiovascular, Biomedical Imaging, Animals, Anisotropy, Diffusion Magnetic Resonance Imaging, Formaldehyde, Male, Myocardium, Rats, Rats, Wistar, Tissue Fixation, Tissue Preservation, magnetic resonance diffusion tensor imaging, rat myocardial microanatomy, formalin, fixation, diffusivity, diffusion anisotropy, helix angle, inter-voxel diffusion coherence, Physiology, Medical Physiology, Biochemistry and cell biology, Evolutionary biology
Abstract

Previous ex vivo diffusion tensor imaging (DTI) studies on formalin-fixed myocardial tissue assumed that, after some initial changes in the first 48 hr since the start of fixation, DTI parameters remain stable over time. Prolonged preservation of cardiac tissue in formalin prior to imaging has been seen many times in the DTI literature as it is considered orderly. Our objective is to define the effects of the prolonged cardiac tissue exposure to formalin on tissue microanatomical organization, as this is assessed by DTI parameters. DTI experiments were conducted on eight excised rodent hearts that were fixed by immersion in formalin. The samples were randomly divided into two equinumerous groups corresponding to shorter (∼2 weeks) and more prolonged (∼6-8 weeks) durations of tissue exposure to formalin prior to imaging. We found that when the duration of cardiac tissue exposure to formalin before imaging increased, water diffusion became less restricted, helix angle (HA) histograms flattened out and exhibited heavier tails (even though the classic HA transmural variation was preserved), and a significant loss of inter-voxel primary diffusion orientation integrity was introduced. The prolonged preservation of cardiac tissue in formalin profoundly affected its microstructural organization, as this was assessed by DTI parameters. The accurate interpretation of diffusivity profiles necessitates awareness of the pitfalls of prolonged cardiac tissue exposure duration to formalin. The acquired knowledge works to the advantage of a proper experimental design of DTI studies of fixed hearts. Anat Rec, 299:878-887, 2016. © 2016 Wiley Periodicals, Inc.

Published
2016

40. Infiltrative cardiomyopathy

Author

Lombardi, Massimo, additional, Pica, Silvia, additional, Camporeale, Antonella, additional, Gimelli, Alessia, additional, and Pennell, Dudley J., additional

Published
2021
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41. Two-center validation of Pilot Tone based cardiac triggering of a comprehensive cardiovascular magnetic resonance examination

Author

Pan, Yue, primary, Varghese, Juliet, additional, Tong, Matthew S., additional, Yildiz, Vedat O., additional, Azzu, Alessia, additional, Gatehouse, Peter, additional, Wage, Rick, additional, Nielles-Vallespin, Sonia, additional, Pennell, Dudley J., additional, Jin, Ning, additional, Bacher, Mario, additional, Hayes, Carmel, additional, Speier, Peter, additional, and Simonetti, Orlando P., additional

Published
2023
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42. Genotype-Phenotype Taxonomy of Hypertrophic Cardiomyopathy

Author

Curran, Lara, primary, de Marvao, Antonio, additional, Inglese, Paolo, additional, McGurk, Kathryn A., additional, Schiratti, Pierre-Raphaël, additional, Clement, Adam, additional, Zheng, Sean L., additional, Li, Surui, additional, Pua, Chee Jian, additional, Shah, Mit, additional, Jafari, Mina, additional, Theotokis, Pantazis, additional, Buchan, Rachel J., additional, Jurgens, Sean J., additional, Raphael, Claire E., additional, Baksi, Arun John, additional, Pantazis, Antonis, additional, Halliday, Brian P., additional, Pennell, Dudley J., additional, Bai, Wenjia, additional, Chin, Calvin W.L., additional, Tadros, Rafik, additional, Bezzina, Connie R., additional, Watkins, Hugh, additional, Cook, Stuart A., additional, Prasad, Sanjay K., additional, Ware, James S., additional, and O’Regan, Declan P., additional

Published
2023
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43. Sex Differences in the Clinical Presentation and Natural History of Dilated Cardiomyopathy

Author

Owen, Ruth, primary, Buchan, Rachel, additional, Frenneaux, Michael, additional, Jarman, Julian W.E., additional, Baruah, Resham, additional, Lota, Amrit S., additional, Halliday, Brian P., additional, Roberts, Angharad M., additional, Izgi, Cemil, additional, Van Spall, Harriette G.C., additional, Michos, Erin D., additional, McMurray, John J.V., additional, Januzzi, James L., additional, Pennell, Dudley J., additional, Cook, Stuart A., additional, Ware, James S., additional, Barton, Paul J., additional, Gregson, John, additional, Prasad, Sanjay K., additional, and Tayal, Upasana, additional

Published
2023
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45. A novel cardiovascular magnetic resonance risk score for predicting mortality following surgical aortic valve replacement

Author

Vassiliou, Vassilios S., Pavlou, Menelaos, Malley, Tamir, Halliday, Brian P., Tsampasian, Vasiliki, Raphael, Claire E., Tse, Gary, Vieira, Miguel Silva, Auger, Dominique, Everett, Russell, Chin, Calvin, Alpendurada, Francisco, Pepper, John, Pennell, Dudley J., Newby, David E., Jabbour, Andrew, Dweck, Marc R., and Prasad, Sanjay K.

Published
2021
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47. Cardiovascular magnetic resonance predictors of heart failure in hypertrophic cardiomyopathy: the role of myocardial replacement fibrosis and the microcirculation

Author

Raphael, Claire E., Mitchell, Frances, Kanaganayagam, Gajen Sunthar, Liew, Alphonsus C., Di Pietro, Elisa, Vieira, Miguel Silva, Kanapeckaite, Lina, Newsome, Simon, Gregson, John, Owen, Ruth, Hsu, Li-Yueh, Vassiliou, Vassilis, Cooper, Robert, MRCP, Aamir Ali, Ismail, Tevfik F., Wong, Brandon, Sun, Kristi, Gatehouse, Peter, Firmin, David, Cook, Stuart, Frenneaux, Michael, Arai, Andrew, O’Hanlon, Rory, Pennell, Dudley J., and Prasad, Sanjay K.

Published
2021
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