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Daniel K. Sodickson
Researcher at New York University
Publications - 267
Citations - 18645
Daniel K. Sodickson is an academic researcher from New York University. The author has contributed to research in topics: Iterative reconstruction & Electromagnetic coil. The author has an hindex of 61, co-authored 258 publications receiving 15371 citations. Previous affiliations of Daniel K. Sodickson include Harvard University & Beth Israel Deaconess Medical Center.
Papers
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Journal ArticleDOI
Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors.
Gene Young Cho,Linda Moy,Sungheon Kim,Steven H. Baete,Melanie Moccaldi,James S. Babb,Daniel K. Sodickson,Eric E. Sigmund +7 more
TL;DR: Novel IVIM biomarkers characterize heterogeneous breast cancer through intravoxel incoherent motion (IVIM) histogram analysis and show relationships with breast cancer malignancy and molecular prognostic factors.
Journal ArticleDOI
5D whole-heart sparse MRI.
Li Feng,Simone Coppo,Davide Piccini,Davide Piccini,Jérôme Yerly,Ruth P. Lim,Pier Giorgio Masci,Matthias Stuber,Daniel K. Sodickson,Ricardo Otazo +9 more
TL;DR: A 5D whole‐heart sparse imaging framework is proposed for simultaneous assessment of myocardial function and high‐resolution cardiac and respiratory motion‐resolved whole‐ heart anatomy in a single continuous noncontrast MR scan.
Journal ArticleDOI
Low Rank Alternating Direction Method of Multipliers Reconstruction for MR Fingerprinting
Jakob Assländer,Martijn A. Cloos,Florian Knoll,Daniel K. Sodickson,Jürgen Hennig,Riccardo Lattanzi +5 more
TL;DR: In this paper, a low-rank inverse problem was formulated for magnetic resonance fingerprinting and an alternating direction method of multipliers approach was proposed to reduce the number of Fourier transformations.
Journal ArticleDOI
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Florian Knoll,Tullie Murrell,Anuroop Sriram,Nafissa Yakubova,Jure Zbontar,Michael G. Rabbat,Aaron Defazio,Matthew J. Muckley,Daniel K. Sodickson,C. Lawrence Zitnick,Michael P. Recht +10 more
TL;DR: To advance research in the field of machine learning for MR image reconstruction with an open challenge.
Patent
Coil array autocalibration MR imaging
TL;DR: In this paper, an autocalibration (ACS) is applied to the measured signals to develop weights or coefficients for filling additional lines of the k-space matrix from each measurement set.