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of 553
pro vyhledávání: '"Sodickson, Daniel K"'
Autor:
Pei, Haoyang, Shepherd, Timothy M., Wang, Yao, Liu, Fang, Sodickson, Daniel K, Ben-Eliezer, Noam, Feng, Li
Purpose: Echo modulation curve (EMC) modeling can provide accurate and reproducible quantification of T2 relaxation times. The standard EMC-T2 mapping framework, however, requires sufficient echoes and cumbersome pixel-wise dictionary-matching steps.
Externí odkaz:
http://arxiv.org/abs/2402.19205
Autor:
Hedayati, Eisa, Safari, Fatemeh, Verghese, George, Ciancia, Vito R., Sodickson, Daniel K., Dehkharghani, Seena, Alon, Leeor
Stroke is a leading cause of mortality and disability. Emergent diagnosis and intervention are critical, and predicated upon initial brain imaging; however, existing clinical imaging modalities are generally costly, immobile, and demand highly specia
Externí odkaz:
http://arxiv.org/abs/2310.02215
Autor:
Tibrewala, Radhika, Dutt, Tarun, Tong, Angela, Ginocchio, Luke, Keerthivasan, Mahesh B, Baete, Steven H, Chopra, Sumit, Lui, Yvonne W, Sodickson, Daniel K, Chandarana, Hersh, Johnson, Patricia M
The fastMRI brain and knee dataset has enabled significant advances in exploring reconstruction methods for improving speed and image quality for Magnetic Resonance Imaging (MRI) via novel, clinically relevant reconstruction approaches. In this study
Externí odkaz:
http://arxiv.org/abs/2304.09254
Autor:
Singhal, Raghav, Sudarshan, Mukund, Mahishi, Anish, Kaushik, Sri, Ginocchio, Luke, Tong, Angela, Chandarana, Hersh, Sodickson, Daniel K., Ranganath, Rajesh, Chopra, Sumit
Early detection of many life-threatening diseases (e.g., prostate and breast cancer) within at-risk population can improve clinical outcomes and reduce cost of care. While numerous disease-specific "screening" tests that are closer to Point-of-Care (
Externí odkaz:
http://arxiv.org/abs/2301.11962
Autor:
Assländer, Jakob, Gultekin, Cem, Flassbeck, Sebastian, Glaser, Steffen J, Sodickson, Daniel K
Purpose: The paper introduces a classical model to describe the dynamics of large spin-1/2 ensembles associated with nuclei bound in large molecule structures, commonly referred to as the semi-solid spin pool, and their magnetization transfer (MT) to
Externí odkaz:
http://arxiv.org/abs/2107.11000
Autor:
Makino, Taro, Jastrzebski, Stanislaw, Oleszkiewicz, Witold, Chacko, Celin, Ehrenpreis, Robin, Samreen, Naziya, Chhor, Chloe, Kim, Eric, Lee, Jiyon, Pysarenko, Kristine, Reig, Beatriu, Toth, Hildegard, Awal, Divya, Du, Linda, Kim, Alice, Park, James, Sodickson, Daniel K., Heacock, Laura, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J.
Deep neural networks (DNNs) show promise in image-based medical diagnosis, but cannot be fully trusted since their performance can be severely degraded by dataset shifts to which human perception remains invariant. If we can better understand the dif
Externí odkaz:
http://arxiv.org/abs/2011.14036
Autor:
Giannakopoulos, Ilias I., Serrallés, José E. C., Daniel, Luca, Sodickson, Daniel K., Polimeridis, Athanasios G., White, Jacob K., Lattanzi, Riccardo
Objective: Global Maxwell Tomography (GMT) is a recently introduced volumetric technique for noninvasive estimation of electrical properties (EP) from magnetic resonance measurements. Previous work evaluated GMT using ideal radiofrequency (RF) excita
Externí odkaz:
http://arxiv.org/abs/2003.09285
Autor:
Knoll, Florian, Murrell, Tullie, Sriram, Anuroop, Yakubova, Nafissa, Zbontar, Jure, Rabbat, Michael, Defazio, Aaron, Muckley, Matthew J., Sodickson, Daniel K., Zitnick, C. Lawrence, Recht, Michael P.
Purpose: To advance research in the field of machine learning for MR image reconstruction with an open challenge. Methods: We provided participants with a dataset of raw k-space data from 1,594 consecutive clinical exams of the knee. The goal of the
Externí odkaz:
http://arxiv.org/abs/2001.02518
Akademický článek
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Autor:
Sriram, Anuroop, Zbontar, Jure, Murrell, Tullie, Zitnick, C. Lawrence, Defazio, Aaron, Sodickson, Daniel K.
Magnetic Resonance Image (MRI) acquisition is an inherently slow process which has spurred the development of two different acceleration methods: acquiring multiple correlated samples simultaneously (parallel imaging) and acquiring fewer samples than
Externí odkaz:
http://arxiv.org/abs/1910.12325