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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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Golden-Angle Radial Sparse Parallel MRI: Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling for Fast and Flexible
Li Feng,Robert Grimm,Kai Tobias Block,Hersh Chandarana,Sungheon Kim,Jian Xu,Leon Axel,Daniel K. Sodickson,Ricardo Otazo +8 more
TL;DR: In this paper, an iterative Golden-angle RAdial Sparse Parallel MRI (iGRASP) was proposed to combine compressed sensing, parallel imaging, and golden-angle radial sampling.
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A high-impedance detector-array glove for magnetic resonance imaging of the hand.
TL;DR: The design of high-impedance detectors, and the fabrication and performance of a wearable detector array for MRI of the hand that cloak themselves from electrodynamic interactions with neighbouring elements are reported.
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Value of MRI in medicine : More than just another test?
Edwin J.R. van Beek,Christiane K. Kuhl,Yoshimi Anzai,Patricia Desmond,Richard L. Ehman,Qiyong Gong,Garry E. Gold,Vikas Gulani,Margaret A Hall-Craggs,Tim Leiner,C C Tschoyoson Lim,James G. Pipe,Scott B. Reeder,Caroline Reinhold,Marion Smits,Daniel K. Sodickson,Clare M. Tempany,H. Alberto Vargas,Meiyun Wang +18 more
TL;DR: In this paper, the authors tried to explain how value should be addressed and gave some insights and practical examples of how value of MRI can be increased and how to increase accessibility, value for money, and impact on patient management.
gpuNUFFT - An Open Source GPU Library for 3D Regridding with Direct Matlab Interface
TL;DR: The goal of this work is to introduce gpuNUFFT, a new open-source 3d regridding GPU library with a built-in Matlab interface that is straightforward to include in all implementations of iterative image reconstruction.
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Rapid volumetric MRI using parallel imaging with order-of-magnitude accelerations and a 32-element RF coil array: feasibility and implications
Daniel K. Sodickson,Daniel K. Sodickson,Christopher J. Hardy,Yudong Zhu,Randy Otto John Giaquinto,Patrick Gross,Gontran Kenwood,Thoralf Niendorf,Hubert Lejay,Charles A. McKenzie,Michael A. Ohliger,Aaron K. Grant,Neil M. Rofsky +12 more
TL;DR: The highly parallel imaging approach presented here allows previously inaccessible volumetric coverage for time-sensitive MRI examinations such as contrast-enhanced MRA, and simultaneously provides a substantially simplified imaging paradigm.