12 results on '"Connor Puett"'
Search Results
2. Investigate and optimize a dual-energy cone beam CT with a CNT x-ray source with dual focal spots
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Boyuan Li, Derrek Spronk, Yueting Luo, Connor Puett, Christina R. Inscoe, Don A. Tyndall, Yueh Z. Lee, Jianping Lu, and Otto Zhou
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- 2022
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3. Patient-specific scatter-corrected digital chest tomosynthesis in human subjects
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Christina R. Inscoe, Alex . Billingsley, Connor Puett, Otto Zhou, Jianping Lu, and Yueh Z. Lee
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- 2022
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4. Preliminary in-vivo imaging evaluation of patient-specific scatter-corrected digital chest tomosynthesis
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Connor Puett, A. Cole Burks, Otto Zhou, Jianping Lu, Alex J. Billingsley, Christina R. Inscoe, and Yueh Z. Lee
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education.field_of_study ,Image quality ,Computer science ,business.industry ,Population ,Digital Chest Tomosynthesis ,Tomosynthesis ,Stationary Digital Chest Tomosynthesis ,Sampling (signal processing) ,Computer vision ,Artificial intelligence ,education ,Projection (set theory) ,business ,Preclinical imaging - Abstract
Purpose: Scatter reduction remains a challenge for chest tomosynthesis. The purpose of this study was to validate a lowdose patient-specific method of scatter correction in a large animal model and implement the technique in a human imaging study in a population with known lung lesions. Method: The porcine and human subjects were imaged with an experimental stationary digital chest tomosynthesis system. Full field projection images were acquired, as well as with a customized primary sampling device for sparse sampling of the primary signal. A primary sampling scatter correction algorithm was used to compute scatter from the primary beam information. Sparse scatter was interpolated and used to correct projections prior to reconstruction. Reconstruction image quality was evaluated over multiple acquisitions in the animal subject to quantify the impact of lung volume discrepancies between scans. Results: Variations in lung volume between the full field and primary sample projection images induced mild variation in computed scatter maps, due to acquisitions during separate breath holds. Reconstruction slice images from scatter corrected datasets including both similar and dissimilar breath holds were compared and found to have minimal differences. Initial human images are included. Conclusions: We have evaluated the prototype low-dose, patient-specific scatter correction in an in-vivo porcine model currently incorporated into a human imaging study. The PSSC technique was found to tolerate some lung volume variation between scans, as it has a minimal impact on reconstruction image quality. A human imaging study has been initiated and a reader comparison will determine clinical efficacy.
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- 2021
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5. Advancing synthetic mammography for stationary digital breast tomosynthesis
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Jianping Lu, Otto Zhou, Christina R. Inscoe, Connor Puett, and Yueh Z. Lee
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medicine.diagnostic_test ,Computer science ,business.industry ,Image processing ,Digital Breast Tomosynthesis ,Full field digital mammography ,Imaging phantom ,Feature (computer vision) ,medicine ,Mammography ,Computer vision ,Artificial intelligence ,Microcalcification ,medicine.symptom ,Projection (set theory) ,business - Abstract
Purpose. Report advances being made in synthetic mammography applied to carbon nanotube-enabled stationary digital breast tomosynthesis (sDBT). Methods. The potential value of adding Laplacian decomposition, feature-enhancement algorithms, and weighted recombination to the tunable forward-projection steps developed previously to generate synthetic mammograms for sDBT was studied in this phantom-based comparison of sDBT to full field digital mammography (FFDM) and moving-source or conventional DBT. Contrast-to-noise ratio (CNR) and the full-width-at-half-maximum (FWHM) of the signal intensity were used to compare the display of microcalcification and mass features in the FFDM image and the synthetic images generated by sDBT and DBT. These findings guided modifications in the sDBT image processing chain, seeking to maximize the display of clinically-important features in the sDBT-based synthetic image. Results. Decomposing each reconstructed image slice into its high, mid, and low-frequency components yielded images emphasizing a different feature of clinical importance: microcalcifications, masses, and background density. Applying feature-enhancement algorithms to these images followed by weighted recombination during forward projection yielded an sDBT-based synthetic image that displayed masses with a higher CNR than the FFDM image and the synthetic image generated by DBT. Additionally, microcalcifications that could be visualized in all three modalities were displayed with a higher CNR in the synthetic images generated by DBT and sDBT compared to the FFDM image. Conclusion. Adding Laplacian decomposition, feature-enhancement, and weighted recombination steps to the image processing chain that generates a synthetic image from information collected by sDBT improved the display of clinicallyimportant features. Advancing the synthetic mammography capability of sDBT is important, as it will help complete the evolution of this promising technology to a viable clinical tool.
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- 2020
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6. Displaying information collected by intraoral tomosynthesis as multi-view synthetic radiographs
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Laurence Gaalaas, Connor Puett, Christina R. Inscoe, Otto Zhou, Lisa Perrone, Jianping Lu, and Michael W. Regan Anderson
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business.industry ,3d image ,Computer science ,Radiography ,Periapical radiography ,Dental imaging ,Computer vision ,Image processing ,Artificial intelligence ,Reconstructed image ,business ,Projection (set theory) ,Tomosynthesis - Abstract
Purpose. Explore the potential value of displaying information collected by stationary intraoral tomosynthesis (sIOT) as multi-view synthetic radiographs, using vertical root fractures (VRFs) as a model system. Methods. Filled and unfilled extracted tooth roots containing artificially-induced VRFs were imaged by sIOT and standard periapical radiography. sIOT collected 7 views across a 12° angle span, providing information for an image processing chain that included reconstruction, weighting, and forward projection to generate a set a synthetic two-dimensional (2D) images. Qualitative assessments of fracture conspicuity were used for comparison. Results. The conspicuity of VRFs changed significantly with the angle of imaging, suggesting benefit to displaying a set of synthetic images across a span of viewing angles. Although high-density in-plane and out-of-plane artifacts, which could limit the conspicuity of VRFs, were prominent in the three-dimensional (3D) stack of reconstructed image slices, these artifacts were minimal in the synthetic radiographs. As such, some fractures were displayed more clearly in the synthetic 2D images compared to the reconstructed 3D image stack. Also, in some cases, the fractures were more conspicuous in the sIOT-generated synthetic images than the standard periapical radiographs. Conclusion. Multi-view synthetic radiography can improve the display of VRFs in images generated by sIOT. As such, this approach to dental imaging may offer a useful clinical tool, with potential application to a host of imaging tasks.
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- 2020
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7. Preliminary imaging evaluation of a compact tomosynthesis system for potential point-of-care extremity imaging
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Daniel Nissman, Alex J. Billingsley, Christina R. Inscoe, Connor Puett, Jianping Lu, Otto Zhou, and Yueh Z. Lee
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Computer science ,Image quality ,Feature (computer vision) ,Detector ,Iterative reconstruction ,Cadaveric spasm ,Projection (set theory) ,Tomosynthesis ,Digital radiography ,Biomedical engineering - Abstract
Orthopedic tomosynthesis is emerging as an attractive alternative to digital radiography (DR), with increased sensitivity for some clinical tasks, including fracture diagnosis and staging and follow-up of arthritis. Commercially available digital tomosynthesis (DTS) systems are complex, room-sized devices. A compact tomosynthesis system for extremity imaging (TomoE) was previously demonstrated using carbon nanotube (CNT) x-ray source array technology. The purpose of this study was to evaluate the prototype device in preparation for an Institutional Review Board (IRB)- approved patient imaging study and evaluate initial patient images. A tabletop device was constructed using a short CNT x-ray source array, operated in three positions, and a flat panel digital detector. Twenty-one x-ray projection images were acquired at incident angles from -20 to +20 degrees in various clinical orientations, with entrance doses matched to commercial in-room DTS scanners. The projection images were reconstructed with an iterative reconstruction technique in 1mm slices. Cadaveric specimen and initial participant images were reviewed by radiologists for feature conspicuity and diagnostic accuracy. TomoE image quality was found to be superior to DR, with reconstruction slices exhibiting visual conspicuity of trabecular bone, delineation of joint space, bone erosions, fractures, and clear depiction of normal anatomical features. The scan time was fifteen seconds with mechanical translation. Skin entrance dose was verified to be 0.2mGy. TomoE device image quality has been evaluated in cadaveric specimens and dose was calibrated for a patient imaging study. Initial patient images depict a high level of anatomical detail an increase in diagnostic value compared to DR.
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- 2020
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8. Evaluation of patient-specific scatter-corrected digital chest tomosynthesis
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Otto Zhou, Jianping Lu, Yueh Z. Lee, Alex J. Billingsley, Connor Puett, and Christina R. Inscoe
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Feature (computer vision) ,business.industry ,Image quality ,Computer science ,Digital Chest Tomosynthesis ,Projection (set theory) ,Nuclear medicine ,business ,Tomosynthesis ,Imaging phantom ,Stationary Digital Chest Tomosynthesis ,Digital radiography - Abstract
Purpose: Chest tomosynthesis is an attractive alternative to computed tomography (CT) for lung nodule screening, but reductions in image quality caused by radiation scatter remains an important limitation. Conventional anti-scatter grids result in higher patient dose, and alternative approaches are needed. The purpose of this study was to validate a lowdose patient-specific approach to scatter correction for an upcoming human imaging study. Method: A primary sampling device (PSD) was designed and scatter correction algorithm incorporated into an experimental stationary digital chest tomosynthesis (s-DCT) system for this study to directly compute scatter from the primary beam information. Phantom and an in-vivo porcine subject were imaged. Total scan time was measured and image quality evaluated. Results: Comparison of reconstruction slice images from uncorrected and scatter-corrected projection images reveals improved image quality, with increased feature conspicuity. Each scan in the current setup required twelve seconds, in addition to one second for PSD retraction, for a total scan time of 25 seconds. Conclusions: We have evaluated the prototype low-dose, patient-specific scatter correction methodology using phantom studies in preparation for a clinical trial. Incorporating only 5% of additional patient dose, the reconstruction slices exhibit increased visual conspicuity of anatomical features, with the primary drawback of increased total scan time. Though used for tomosynthesis, the technique can be easily translated to digital radiography in lieu of an anti-scattering grid.
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- 2020
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9. Generating synthetic mammograms for stationary 3D mammography
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Otto Zhou, Yueh Lee, Christina R. Inscoe, Jianping Lu, and Connor Puett
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Digital mammography ,medicine.diagnostic_test ,Computer science ,business.industry ,Visibility (geometry) ,Pattern recognition ,Image processing ,Iterative reconstruction ,Weighting ,Reduction (complexity) ,medicine ,Mammography ,Artificial intelligence ,business ,Projection (set theory) - Abstract
Purpose. Investigate synthetic mammography approaches for carbon nanotube (CNT)-enabled stationary digital breast tomosynthesis (sDBT). Methods. Projection images of breast-mimicking phantoms containing soft-tissue masses and microcalcification clusters collected by sDBT were used to develop weighted-intensity forward-projection algorithms that generated a synthetic mammogram from the reconstructed 3D image space. Reconstruction was accomplished by an adapted fan-volume modification of the simultaneous iterative reconstruction technique. Detectability indices were used to quantify mass and calcification visibility. The image processing chain was then applied to projection views collected by sDBT on women with “suspicious” breast lesions detected by standard screening 2D digital mammography. Results. Quantifying detectability allowed correlation between the visibility of clinically-important image features and the order of the polynomial weighting function used during forward projection. The range of weighted functions exists between the extremes of an average-intensity projection (zero-order) and maximum-intensity projection (infinite-order), with lower order weights emphasizing soft-tissue features and higher-order weights emphasizing calcifications. Application of these algorithms to patient images collected by sDBT, coupled with dense-artifact reduction and background equalization steps, produced synthetic mammograms on which additional post-processing approaches can be explored, with the actual mammogram providing a reference for comparison. Conclusions. An image-processing chain with adjustable weighting during forward projection, dense-artifact reduction, and background equalization can yield a range of sDBT-based synthetic mammograms that display clinically-important features differently, potentially improving the ability to appreciate the association of masses and calcifications.
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- 2019
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10. Tomosynthesis imaging of the wrist using a CNT x-ray source array
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Christina R. Inscoe, Jianping Lu, Reid W. Draeger, Daniel Nissman, Shawn Feinstein, Yueh Z. Lee, Alex J. Billingsley, Otto Zhou, Connor Puett, Troy Maetani, and Elias Taylor Gunnell
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Superposition principle ,Image quality ,Computer science ,Detector ,X-ray ,Iterative reconstruction ,Translation (geometry) ,Projection (set theory) ,Tomosynthesis ,Biomedical engineering - Abstract
Tomosynthesis imaging has been demonstrated as an alternative to MRI and CT for orthopedic imaging. Current commercial tomosynthesis scanners are large in-room devices. The goal of this study was to evaluate the feasibility of designing a compact tomosynthesis device for extremity imaging at the point-of-care utilizing a carbon nanotube (CNT) x-ray source array. The feasibility study was carried out using a short linear CNT source array with limited number of x-ray emitting focal spots. The short array was mounted on a translation stage and moved linearly to mimic imaging configurations with up to 40 degrees angular coverage at a source-to-detector distance of 40cm. The receptor was a 12x12cm flat panel digital detector. An anthropomorphic phantom and cadaveric wrist specimens were imaged at 55kVp under various exposure conditions. The projection images were reconstructed with an iterative reconstruction algorithm. Image quality was assessed by musculoskeletal radiologists. Reconstructed tomosynthesis slice images were found to display a higher level of detail than projection images due to reduction of superposition. Joint spaces and abnormalities such as cysts and bone erosion were easily visualized. Radiologists considered the overall utility of the tomosynthesis images superior to conventional radiographs. This preliminary study demonstrated that the CNT x-ray source array has the potential to enable tomosynthesis imaging of extremities at the point-of-care. Further studies are necessary to optimize the system and x-ray source array configurations in order to construct a dedicated device for diagnostic and interventional applications.
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- 2019
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11. Stationary digital intraoral tomosynthesis: demonstrating the clinical potential of the first-generation system
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Christina R. Inscoe, Enrique Platin, André Mol, Robert L Hilton, Otto Zhou, Connor Puett, and Jianping Lu
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Computer science ,medicine.medical_treatment ,Interface (computing) ,Image processing ,030206 dentistry ,Iterative reconstruction ,engineering.material ,Tomosynthesis ,First generation ,Crown (dentistry) ,030218 nuclear medicine & medical imaging ,Amalgam (dentistry) ,03 medical and health sciences ,0302 clinical medicine ,medicine ,engineering ,Tomography ,Biomedical engineering - Abstract
Stationary intraoral tomosynthesis (sIOT) is an experimental imaging approach using a fixed array of carbon nanotubeenabled x-ray sources to produce a series of projections from which three-dimensional information can be reconstructed and displayed. Customized to the dental workspace, the first-generation sIOT tube is compact, easy-to-operate, and designed to interface with standard digital intraoral detectors. The purpose of this work was to explore the utility of the sIOT device across a range of dental pathologies and thereby identify limitations potentially amenable to correction through post-acquisition processing. Phantoms, extracted human teeth, and cadaveric specimens containing caries, fractures, and dilacerated roots, often associated with amalgam restorations, were imaged using tube settings that match the kVp and mA used in conventional clinical 2D intraoral imaging. An iterative reconstruction approach generated a stack of image slices through which the reader scrolls to appreciate depth relationships. Initial experience demonstrated an improved ability to visualize occlusal caries, interproximal caries, crown and root fractures, and root dilacerations when compared to 2D imaging. However, artifacts around amalgam restorations and metal implants proved problematic, leading to the incorporation of an artifact reduction step in the post-acquisition processing chain. These findings support the continued study of sIOT as a viable limited-angle tomography tool for dental applications and provide a foundation for the ongoing development of image processing steps to maximize the diagnostic utility of the displayed images.
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- 2018
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12. Initial clinical evaluation of gated stationary digital chest tomosynthesis
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Elias Taylor Gunnell, Connor Puett, Christina R. Inscoe, Yueh Z. Lee, Jianping Lu, and Otto Zhou
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Computer science ,Image quality ,Detector ,Motion blur ,Digital Chest Tomosynthesis ,Gating ,Signal ,Tomosynthesis ,Stationary Digital Chest Tomosynthesis ,Biomedical engineering - Abstract
High resolution imaging of the chest is dependent on a breath hold maintained throughout the imaging time. However, pediatric and comatose patients are unable to follow respiration commands. Gated tomosynthesis could offer a lower dose, high in-plane resolution imaging modality, but current systems are unable to prospectively gate in a reasonable scan time. In contrast, a carbon nanotube (CNT) based linear x-ray source array offers both the angular span and precise control necessary to generate x-ray projections for gated tomosynthesis. The goal of this study was to explore the first clinical use of the CNT linear x-ray source array for gated clinical chest imaging. Eighteen pediatric cystic fibrosis patients were recruited for this study, with 13 usable image sets. The s-GDCT system consists of a CNT linear x-ray source array coupled with a digital detector. A respiration signal derived from a respiratory belt served as a gating signal with sources fired sequentially when the imaging window and maximum inspiration window coincided. Images were reconstructed and reviewed for motion blur and ability to identify major anatomical structures. Image quality was highly dependent on quality of the respiration gating signal, and a correlation was found between qualitative image quality and height of the respiration peak. We demonstrate the first prospectively gated evaluation of the stationary digital chest tomosynthesis patients in pediatric patients. Though further refinements in projection selection and respiratory gating approaches are necessary, this study demonstrates the potential utility of this low dose imaging approach.
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- 2018
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