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556 results on '"Gee, Michael S."'

2. Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS

Author

Jun, Yohan, Arefeen, Yamin, Cho, Jaejin, Fujita, Shohei, Wang, Xiaoqing, Grant, P. Ellen, Gagoski, Borjan, Jaimes, Camilo, Gee, Michael S., and Bilgic, Berkin

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

Purpose: To develop and evaluate methods for 1) reconstructing 3D-quantification using an interleaved Look-Locker acquisition sequence with T2 preparation pulse (3D-QALAS) time-series images using a low-rank subspace method, which enables accurate and rapid T1 and T2 mapping, and 2) improving the fidelity of subspace QALAS by combining scan-specific deep-learning-based reconstruction and subspace modeling. Methods: A low-rank subspace method for 3D-QALAS (i.e., subspace QALAS) and zero-shot deep-learning subspace method (i.e., Zero-DeepSub) were proposed for rapid and high fidelity T1 and T2 mapping and time-resolved imaging using 3D-QALAS. Using an ISMRM/NIST system phantom, the accuracy and reproducibility of the T1 and T2 maps estimated using the proposed methods were evaluated by comparing them with reference techniques. The reconstruction performance of the proposed subspace QALAS using Zero-DeepSub was evaluated in vivo and compared with conventional QALAS at high reduction factors of up to 9-fold. Results: Phantom experiments showed that subspace QALAS had good linearity with respect to the reference methods while reducing biases and improving precision compared to conventional QALAS, especially for T2 maps. Moreover, in vivo results demonstrated that subspace QALAS had better g-factor maps and could reduce voxel blurring, noise, and artifacts compared to conventional QALAS and showed robust performance at up to 9-fold acceleration with Zero-DeepSub, which enabled whole-brain T1, T2, and PD mapping at 1 mm isotropic resolution within 2 min of scan time. Conclusion: The proposed subspace QALAS along with Zero-DeepSub enabled high fidelity and rapid whole-brain multiparametric quantification and time-resolved imaging., Comment: 24 figures, 4 tables

Published
2023
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6. Cystic kidney disease in tuberous sclerosis complex: current knowledge and unresolved questions

Author

Gallo-Bernal, Sebastian, Kilcoyne, Aoife, Gee, Michael S., and Paul, Elahna

Subjects
Children -- Diseases, Tuberous sclerosis -- Care and treatment -- Patient outcomes, Health
Abstract

Tuberous sclerosis complex (TSC) is an autosomal dominant disorder with an estimated incidence of one in 5000 to 10,000 live births worldwide. Two million people of all races and genders are estimated to have TSC secondary to mutations in one of two tumor suppressor genes, TSC1 or TSC2. The respective TSC1 and 2 gene products - hamartin and tuberin - form cytoplasmic heterodimers that inhibit mTOR-mediated cell growth and division. When mTOR inhibition is lost, people with TSC develop characteristic and usually benign tumors in various organ systems. Kidney tumors and cysts are common, particularly in the setting of TSC2 gene mutations. In most TSC patients, the number of kidney cysts is limited, their morphology is simple, their size is small, and their clinical significance is negligible. In some, cyst morphology progresses from simple to complex with the risk of malignant transformation. In others, aggressive accumulation and growth of kidney cysts can cause hypertension, impaired kidney function, and progression to kidney failure. This educational review summarizes current knowledge and remaining open questions regarding cystic kidney disease in TSC, emphasizing detection, classification, surveillance, and treatment options., Author(s): Sebastian Gallo-Bernal [sup.1] [sup.2] , Aoife Kilcoyne [sup.1] [sup.2] , Michael S. Gee [sup.1] [sup.2] , Elahna Paul [sup.3] [sup.4] Author Affiliations: (1) grid.32224.35, 0000 0004 0386 9924, Department [...]

Published
2023
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15. Liver

Author

Kozak, Benjamin M., Mojtahed, Amirkasra, Gee, Michael S., Lee, Edward Y., editor, Liszewski, Mark C., editor, Gee, Michael S., editor, Daltro, Pedro, editor, and Restrepo, Ricardo, editor

Published
2020
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16. Pancreas

Author

Johnson, Monica, Anupindi, Sudha A., Gee, Michael S., Lee, Edward Y., editor, Liszewski, Mark C., editor, Gee, Michael S., editor, Daltro, Pedro, editor, and Restrepo, Ricardo, editor

Published
2020
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17. Gastrointestinal Tract

Author

Harrington, Samantha G., Nimkin, Katherine, Gee, Michael S., Lee, Edward Y., editor, Liszewski, Mark C., editor, Gee, Michael S., editor, Daltro, Pedro, editor, and Restrepo, Ricardo, editor

Published
2020
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21. ACR Appropriateness Criteria® Crohn Disease-Child

Author

Moore, Michael M., Gee, Michael S., Iyer, Ramesh S., Chan, Sherwin S., Ayers, Travis D., Bardo, Dianna M.E., Chandra, Tushar, Cooper, Matthew L., Dotson, Jennifer L., Gadepalli, Samir K., Gill, Anne E., Levin, Terry L., Nadel, Helen R., Schooler, Gary R., Shet, Narendra S., Squires, Judy H., Trout, Andrew T., Wall, Jessica J., and Rigsby, Cynthia K.

Published
2022
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29. The Role of Imaging for GI Bleeding: ACG and SAR Consensus Recommendations

Author

Sengupta, Neil, primary, Kastenberg, David M., additional, Bruining, David H., additional, Latorre, Melissa, additional, Leighton, Jonathan A., additional, Brook, Olga R., additional, Wells, Michael L., additional, Guglielmo, Flavius F., additional, Naringrekar, Haresh V., additional, Gee, Michael S., additional, Soto, Jorge A., additional, Park, Seong Ho, additional, Yoo, Don C., additional, Ramalingam, Vijay, additional, Huete, Alvaro, additional, Khandelwal, Ashish, additional, Gupta, Avneesh, additional, Allen, Brian C., additional, Anderson, Mark A., additional, Dane, Bari R., additional, Sokhandon, Farnoosh, additional, Grand, David J., additional, Tse, Justin R., additional, and Fidler, Jeff L., additional

Published
2024
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30. Emerging ethical issues raised by highly portable MRI research in remote and resource-limited international settings

Author

Shen, Francis X., Wolf, Susan M., Bhavnani, Supriya, Deoni, Sean, Elison, Jed T., Fair, Damien, Garwood, Michael, Gee, Michael S., Geethanath, Sairam, Kay, Kendrick, Lim, Kelvin O., Lockwood Estrin, Georgia, Luciana, Monica, Peloquin, David, Rommelfanger, Karen, Schiess, Nicoline, Siddiqui, Khan, Torres, Efraín, and Vaughan, J. Thomas

Published
2021
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38. Zero-DeepSub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative MRI using 3D-QALAS.

Author

Yohan Jun, Yamin Arefeen, Jaejin Cho, Shohei Fujita, Xiaoqing Wang, Grant, P. Ellen, Gagoski, Borjan, Jaimes, Camilo, Gee, Michael S., and Bilgic, Berkin

Subjects
MAGNETIC resonance imaging
Abstract

Purpose: To develop and evaluatemethods for (1) reconstructing 3D-quantification using an interleaved Look-Locker acquisition sequence with T2 preparation pulse (3D-QALAS) time-series images using a low-rank subspace method, which enables accurate and rapid T1 and T2 mapping, and (2) improving the fidelity of subspace QALAS by combining scan-specific deep-learning-based reconstruction and subspace modeling. Theory and Methods: A low-rank subspace method for 3D-QALAS (i.e., subspace QALAS) and zero-shot deep-learning subspace method (i.e., Zero-DeepSub) were proposed for rapid and high fidelity T1 and T2 mapping and time-resolved imaging using 3D-QALAS. Using an ISMRM/NIST system phantom, the accuracy and reproducibility of the T1 and T2 maps estimated using the proposed methods were evaluated by comparing them with reference techniques. The reconstruction performance of the proposed subspace QALAS using Zero-DeepSub was evaluated in vivo and comparedwith conventionalQALAS at high reduction factors of up to nine-fold. Results: Phantom experiments showed that subspace QALAS had good linearity with respect to the reference methodswhile reducing biases and improving precision compared to conventional QALAS, especially for T2 maps. Moreover, in vivo results demonstrated that subspaceQALAS had better g-factor maps and could reduce voxel blurring, noise, and artifacts compared to conventional QALAS and showed robust performance at up to nine-fold acceleration with Zero-DeepSub, which enabled whole-brain T1, T2, and PD mapping at 1mm isotropic resolution within 2 min of scan time. Conclusion: The proposed subspace QALAS along with Zero-DeepSub enabled high fidelity and rapid whole-brain multiparametric quantification and time-resolved imaging. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Computed tomography and magnetic resonance enterography protocols and techniques: survey of the Society of Abdominal Radiology Crohn’s Disease Disease-Focused Panel

Author

Gandhi, Namita S., Dillman, Jonathan R., Grand, David J., Huang, Chenchan, Fletcher, Joel G., Al-Hawary, Mahmoud M., Anupindi, Sudha A., Baker, Mark E., Bruining, David H., Chatterji, Manjil, Fidler, Jeff L., Gee, Michael S., Grajo, Joseph R., Guglielmo, Flavius F., Jaffe, Tracy A., Park, Seong Ho, Rimola, Jordi, Taouli, Bachir, Taylor, Stuart A., and Yeh, Benjamin

Published
2020
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50. Recommendations for Standardizing MRI-based Evaluation of Perianal Fistulizing Disease Activity in Pediatric Crohn's Disease Clinical Trials.

Author

Crowley, Eileen, Ma, Christopher, Guizzetti, Leonard, Zou, Guangyong, Lewindon, Peter J, Gee, Michael S, Hyams, Jeffrey S, Rosen, Michael J, Allmen, Daniel von, Overstraeten, Anthony de Buck van, Shackelton, Lisa M, Remillard, Julie, Schleicher, Lauren, Dillman, Jonathan R, Rimola, Jordi, Taylor, Stuart A, Fletcher, Joel G, Church, Peter C, Feagan, Brian G, and Griffiths, Anne M

Published
2024
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