Dr. Daniel K. Sodickson Profile

Dr. Daniel K. Sodickson

Director at NYU Langone Medical Ctr

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Author

Publications (5)

Proceedings Article | 9 March 2018 Paper

Evaluation of SparseCT on patient data using realistic undersampling models

Baiyu Chen, Matthew Muckley, Aaron Sodickson, Thomas O'Donnell, Florian Knoll, Daniel Sodickson, Ricardo Otazo

Proceedings Volume 10573, 1057342 (2018) https://doi.org/10.1117/12.2294243

KEYWORDS: CT reconstruction, Compressed sensing, X-ray computed tomography, Collimators, Reconstruction algorithms

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Proceedings Article | 10 March 2017 Presentation + Paper

SparseCT: interrupted-beam acquisition and sparse reconstruction for radiation dose reduction

Thomas Koesters, Florian Knoll, Aaron Sodickson, Daniel Sodickson, Ricardo Otazo

Proceedings Volume 10132, 101320Q (2017) https://doi.org/10.1117/12.2255522

KEYWORDS: Collimators, Compressed sensing, X-rays, X-ray computed tomography, X-ray imaging, Denoising, Image quality, 3D image reconstruction, 3D image processing, Optical testing, Data acquisition, Binary data, In vivo imaging, Scanners, Sensors

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Proceedings Article | 19 March 2015 Open Access

The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography

Daniel Sodickson, Li Feng, Florian Knoll, Martijn Cloos, Noam Ben-Eliezer, Leon Axel, Hersh Chandarana, Tobias Block, Ricardo Otazo

Proceedings Volume 9417, 94170G (2015) https://doi.org/10.1117/12.2085033

KEYWORDS: Magnetic resonance imaging, Compressed sensing, Positron emission tomography, Data acquisition, Tomography, Video, Reconstruction algorithms, Scanners, Magnetorheological finishing, Biomedical optics

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Proceedings Article | 26 September 2013 Paper

Low-rank + sparse (L+S) reconstruction for accelerated dynamic MRI with seperation of background and dynamic components

Ricardo Otazo, Daniel Sodickson, Emmanuel Candès

Proceedings Volume 8858, 88581Z (2013) https://doi.org/10.1117/12.2023359

KEYWORDS: Magnetic resonance imaging, Angiography, Transform theory, Liver, Data modeling, Compressed sensing, Data acquisition, Temporal resolution, Computer programming, Reconstruction algorithms

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Proceedings Article | 11 March 2009 Paper

Regularization of parallel MRI reconstruction using in vivo coil sensitivities

Qi Duan, Ricardo Otazo, Jian Xu, Daniel Sodickson

Proceedings Volume 7258, 72580Z (2009) https://doi.org/10.1117/12.812440

KEYWORDS: In vivo imaging, Magnetic resonance imaging, Calibration, Computer programming, Signal to noise ratio, Interference (communication), Brain, Image resolution, 3D acquisition, Neuroimaging

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