Zobrazeno 1 - 10 of 55 pro vyhledávání: '"Erin, Angel"'
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Akademický článek
Can fully iterative reconstruction technique enable routine abdominal CT at less than 1 mSv?
Autor: Azadeh Tabari, Singh Ramandeep, Ruhani Doda Khera, Yiemeng Hoi, Erin Angel, Mannudeep K. Kalra, Rachna Madan
Publikováno v: European Journal of Radiology Open, Vol 6, Iss , Pp 225-230 (2019)
Objective: We assessed the effect of the forward projected model-based reconstruction technique (FIRST) on lesion detection of routine abdomen CT at 25.8 kg/m2. Diagnostic confidence for lesion assessment was optimal in LD-FIRST-STD setting in most p
Externí odkaz: https://doaj.org/article/4959e3a3b7a74aef9b5afc84449629d8
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2
Initial evaluation of a convolutional neural network used for noninvasive assessment of coronary artery disease severity from coronary computed tomography angiography data
Autor: Abhinay Reddy, Erin Angel, Shinchiro Fujimoto, Kelsey N. Sommer, Dimitrios Mitsouras, Umesh C. Sharma, Alexander R. Podgorsak, Vijay Iyer, Michael F. Wilson, Frank J. Rybicki, Ciprian N. Ionita, Kanako Kunushima Kumamaru
Publikováno v: Medical Physics. 47:3996-4004
Purpose Coronary computed tomography angiography (CTA) has one of the highest diagnostic sensitivities for detection of the significance of coronary artery disease (CAD); however, sensitivity is moderate and may result in increased catheterization ra
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7961f7c651bfaa5ebe11adb519610f0e
https://doi.org/10.1002/mp.14339
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3
Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT
Autor: Erin Angel, Rachna Madan, Michael A. Blake, Azadeh Tabari, Victorine V. Muse, Yiemeng Hoi, Subba R. Digumarthy, Naruomi Akino, Mannudeep K. Kalra, Avinash Kambadakone, Ramandeep Singh
Publikováno v: American Journal of Roentgenology. 214:566-573
OBJECTIVE. The objective of this study was to compare image quality and clinically significant lesion detection on deep learning reconstruction (DLR) and iterative reconstruction (IR) images of submillisievert chest and abdominopelvic CT. MATERIALS A
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bade6547db2820b3bab3240cd1c6d255
https://doi.org/10.2214/ajr.19.21809
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4
Patient-specific 3D-printed coronary models based on coronary computed tomography angiography volumes to investigate flow conditions in coronary artery disease
Autor: Kanako K. Kumamaru, Shinichiro Fujimoto, Michael F. Wilson, Vijay Iyer, Lauren M. Shepard, Umesh C. Sharma, Frank J. Rybicki, Abhinay Reddy, Dimitrios Mitsouras, Kelsey N. Sommer, Erin Angel, Ciprian N. Ionita
Publikováno v: Biomedical physicsengineering express. 6(4)
Background: 3D printed patient-specific coronary models have the ability to enable repeatable benchtop experiments under controlled blood flow conditions. This approach can be applied to CT-derived patient geometries to emulate coronary flow and rela
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2536ffdd051b53f78cc72c46fcb03fa7
https://pubmed.ncbi.nlm.nih.gov/33444268
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5
Reference dataset for benchmarking fetal doses derived from Monte Carlo simulations of CT exams
Autor: Ioannis Sechopoulos, Chris H. Cagnon, Anthony J. Hardy, Michael F. McNitt-Gray, Maryam Bostani, Erin Angel
Publikováno v: Med Phys
Medical Physics, 48, 1, pp. 523-532
Medical Physics, 48, 523-532
Medical physics, vol 48, iss 1
Contains fulltext : 232932.pdf (Publisher’s version ) (Closed access) PURPOSE: Task Group Report 195 of the American Association of Physicists in Medicine contains reference datasets for the direct comparison of results among different Monte Carlo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c717a43e375e181dccdedb4c695d59e
https://pubmed.ncbi.nlm.nih.gov/33128259
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6
Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of Fractional Flow Reserve diagnosis in patients
Autor: Erin Angel, Umesh C. Sharma, Ciprian N. Ionita, Dimitrios Mitsouras, Kanako K. Kumamaru, Kelsey N. Sommer, Vijay Iyer, Alexander R. Podgorsak, Michael F. Wilson, Frank J. Rybicki
Publikováno v: Medical Imaging 2020: Computer-Aided Diagnosis.
Coronary artery disease (CAD) is a condition where there is blood-flow reduction in the coronary artery due to plaque build-up. The current standard to diagnose CAD severity is fractional flow reserve (FFR) using the ratio of distal and proximal sten
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d7d5e26b086229494bd931d1e2ffadf7
https://doi.org/10.1117/12.2549698
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Estimating Fetal Dose from Tube Current Modulated (TCM) and Fixed Tube Current (FTC) Abdominal/Pelvis CT Examinations
Autor: Michael F. McNitt-Gray, Anthony J. Hardy, Chris H. Cagnon, Maryam Bostani, Erin Angel
Publikováno v: Hardy, Anthony J; Angel, Erin; Bostani, Maryam; Cagnon, Chris; & McNitt-Gray, Michael. (2019). Estimating Fetal Dose from Tube Current Modulated (TCM) and Fixed Tube Current (FTC) Abdominal/Pelvis CT Examinations.. Medical physics. doi: 10.1002/mp.13499. UC Office of the President: Research Grants Program Office (RGPO). Retrieved from: http://www.escholarship.org/uc/item/6hc257pw
Med Phys
Author(s): Hardy, Anthony J; Angel, Erin; Bostani, Maryam; Cagnon, Chris; McNitt-Gray, Michael | Abstract: PurposeThe purpose of this work was to estimate scanner-independent CTDIvol -to-fetal-dose coefficients for tube current-modulated (TCM) and fi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0587a6d4043739a55d8a37bb274c683f
http://www.escholarship.org/uc/item/6hc257pw
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9
Comparison of benchtop pressure gradient measurements in 3D printed patient specific cardiac phantoms with CT-FFR and computational fluid dynamic simulations
Autor: Kelsey N. Sommer, Frank J. Rybicki, Lauren M. Shepard, Ciprian N. Ionita, Stephen Rudin, Dimitrios Mitsouras, Vijay Iyer, Michael F. Wilson, Kanako K. Kumamaru, Erin Angel
Publikováno v: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
Purpose: Various CT-FFR methods are being proposed as a non-invasive method to estimate cardiac disease severity. 3D printed patient specific cardiovascular models with high geometric accuracy can be used to simulate blood flow conditions and perform
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adc0747ac8d834e93e383d63661607c5
https://doi.org/10.1117/12.2512118
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10
CT investigation of patient-specific phantoms with coronary artery disease
Autor: Ciprian N. Ionita, Sabee Molloi, Frank J. Rybicki, Lauren M. Shepard, Erin Angel, Michael F. Wilson, Vijay Iyer, Dimitrios Mitsouras, Kelsey N. Sommer
Publikováno v: Medical Imaging 2018: Physics of Medical Imaging.
Purpose: To develop coronary phantoms that mimic patient geometry and coronary blood flow conditions for CT imaging optimization and software validation. Materials and Methods: Five patients with varying degrees of coronary artery disease underwent 3
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d0b6518e12280a44685f9226ace85b1f
https://doi.org/10.1117/12.2292918
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