Daniel K. Sodickson
Daniel Kevin Sodickson is an American physicist and an expert in the field of biomedical imaging. A past president[1] and gold medalist[2] of the International Society for Magnetic Resonance in Medicine, he is credited with foundational work in parallel magnetic resonance imaging (MRI), in which distributed arrays of detectors are used to gather magnetic resonance images at previously inaccessible speeds. Sodickson is an elected Fellow of the US National Academy of Inventors. He currently serves as Vice-Chair for Research in the Department of Radiology at New York University (NYU) Grossman School of Medicine, as Director of the department's Bernard and Irene Schwartz Center for Biomedical Imaging, as Principal Investigator of the Center for Advanced Imaging Innovation and Research, and as Co-Director of NYU's Tech4Health Institute.
Daniel K. Sodickson | |
|---|---|
| Born | August 12, 1966 |
| Alma mater | Yale College (BS)(BA), Massachusetts Institute of Technology (PhD) Harvard Medical School (MD) |
| Known for | Magnetic Resonance Imaging |
| Awards | Gold Medal, International Society for Magnetic Resonance in Medicine(2006) |
| Scientific career | |
| Institutions | Harvard Medical School Beth Israel Deaconess Medical Center New York University (NYU) Grossman School of Medicine |
Education and Career edit
Sodickson grew up in Newton, Massachusetts, the son of a physicist and a social worker. He attended the Roxbury Latin School from 1978-1984, matriculating at Yale College in 1984. Dr. Sodickson graduated from Yale in 1988 with a BS in Physics and a BA in Humanities. He earned his PhD in Medical Physics from MIT in 2004 and his MD from Harvard Medical School in 2006, both as a part of the Harvard-MIT Division of Health Sciences and Technology.
Sodickson then joined the faculty of Harvard Medical School, ultimately serving as Director of Magnetic Resonance Research in the Department of Radiology at Beth Israel Deaconess Medical Center in Boston, Massachusetts, before he joined NYU School of Medicine in 2006 as Director of the Department of Radiology's Center for Biomedical Imaging. In 2009, he became Vice-Chair for Research in Radiology at NYU.
A member, Fellow, and former Trustee of the ISMRM, Sodickson served as its President in 2017-2018.[1][3] He also chaired the National Institutes of Health Study Section on Biomedical Imaging Technology (BMIT-A) from 2016-2018.
Research and Professional Activities edit
Following Sodickson's 1997 paper introducing a rapid imaging technique called SiMultaneous Acquisition of Spatial Harmonics (SMASH),[4] research and development in parallel MRI burgeoned,[5][6] along with related research in image reconstruction and detector design. Parallel imaging hardware and software is now an integral part of modern MRI machines, and is used routinely in MRI scans worldwide. For his work in parallel MRI, Sodickson was awarded the Gold Medal of the ISMRM in 2006.[2]
Sodickson's research team at NYU has developed rapid, continuous, comprehensive imaging approaches,[7] taking advantage of complementary tools in image acquisition and reconstruction, including parallel imaging and detector arrays,[8] compressed sensing, and artificial intelligence (AI).
Recently, Sodickson has explored new uses of emerging AI techniques in medical imaging.[9][10] He helped to initiate the fastMRI collaboration[11] between NYU Grossman School of Medicine and Facebook Artificial Intelligence Research, announced in August of 2018,[12][13] which aims to accelerate MRI using machine learning methods, and which has also resulted in a large open-source repository of raw MRI data.[14][15]
In addition to delivering presentations at scientific meetings, Sodickson has spoken on the history and future of imaging in a variety of more general-interest venues.[16][17]
Selected Honors and Awards edit
- 2005: Fellow, International Society for Magnetic Resonance in Medicine[18]
- 2006: Gold Medalist, International Society for Magnetic Resonance in Medicine[2]
- 2013 Distinguished Investigator, Academy for Radiology and Biomedical Imaging Research[19]
- 2014: Author of one of “30 Magnetic Resonance in Medicine Papers that Helped to Shape our Field”[20]
- 2017: New Horizons Lecturer, Radiological Society of North America[16]
- 2019: Kernspintomographie-Preis (Magnetic Resonance Imaging Award) recipient[21]
- 2020: Fellow, US National Academy of Inventors[22][23]
References edit
- ^ a b Chaudhari, Akshay (2018-06-15). "Daniel Sodickson: Connecting MR in a changing world". ISMRM's MR Pulse Blog. from the original on 2020-01-29. Retrieved 2021-05-24.
- ^ a b c "ISMRM Gold Medalists". ISMRM.org. from the original on 2014-07-13. Retrieved 2021-05-24.
- ^ Chaudhari, Akshay (2018-06-15). "Daniel Sodickson: Connecting MR in a changing world". ISMRM's MR Pulse Blog. from the original on 2017-10-22. Retrieved 2021-05-24.
- ^ Sodickson, DK; Manning, WJ (1997). "Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays". Magnetic Resonance in Medicine. 38 (4): 591–603. doi:10.1002/mrm.1910380414.
- ^ Larkman, DJ; Nunes, RG (2007). "Parallel magnetic resonance imaging". Physics in Medicine and Biology. 52 (7): R15–R55. doi:10.1088/0031-9155/52/7/R01.
- ^ Sodickson, DK (2011). "The Many Guises of Tomography – A Personal History of Parallel Imaging". Encyclopedia of Magnetic Resonance. Chichester: John Wiley. doi:10.1002/9780470034590.emrhp1043.
- ^ Feng, L; Grimm, R; Block, KT; Chandarana, H; Kim, S; Xu, J; Axel, L; Sodickson, DK; Otazo, R (2014). "Golden‐angle radial sparse parallel MRI: Combination of compressed sensing, parallel imaging, and golden‐angle radial sampling for fast and flexible dynamic volumetric MRI". Magnetic Resonance in Medicine. 72 (3): 707–717. doi:10.1002/mrm.24980. PMC 3991777. PMID 24142845.
- ^ Zhang, B; Sodickson, DK; Cloos, MA (August 2018). "A High-Impedance Detector-Array Glove for Magnetic Resonance Imaging of the Hand". Nature Biomedical Engineering. 2 (8): 570–577. doi:10.1038/s41551-018-0233-y. PMC 6405230. PMID 30854251.
- ^ Hammernik, K; Klatzer, T; Kobler, E; Recht, MP; Sodickson, DK; Pock, T; Knoll, F (2018). "Learning a variational network for reconstruction of accelerated MRI data". Magnetic Resonance in Medicine. 79 (6): 3055–3071. doi:10.1002/mrm.26977. PMC 5902683. PMID 29115689.
- ^ Sodickson, DK (December 14, 2019). "AI and Radiology: How machine learning will change the way we see patients, and the way we see ourselves". Medical Imaging Meets NeurIPS Workshop, NeurIPS 2019, Vancouver, Canada.
- ^ "fastMRI.org". from the original on 2010-06-19. Retrieved 2021-05-24.
- ^ Verger, R (August 21, 2018). "AI could make MRI scans as much as 10 times faster". Popular Science. Retrieved 2021-05-24.
- ^ Shead, S (August 20, 2018). "Facebook Aims to Make MRI Scans 10x Faster With NYU". Forbes. Retrieved 2021-05-24.
- ^ "fastMRI.med.nyu.edu". from the original on 2018-12-01. Retrieved 2021-05-24.
- ^ "NYU School of Medicine Releases Largest-Ever Open-Source Dataset to Speed Up MRIs using Artificial Intelligence in Collaboration with Facebook AI Research". PR Newswire. November 26, 2018. Retrieved 2021-05-24.
- ^ a b Sodickson, DK (November 27, 2017). "A New Light: The Birth, and Rebirth, of Imaging". New Horizons Lecture, Radiological Society of North America, 103rd Annual Meeting, Chicago, IL.
- ^ Sodickson, DK (May 24, 2018). "The Rebirth of Medical Imaging". LDV Vision Summit, New York, NY.
- ^ "Fellows of the ISMRM". from the original on 2014-07-13. Retrieved 2020-01-29.
- ^ "Distinguished Investigators of the Academy for Radiology and Biomedical Imaging Research". from the original on 2015-03-31. Retrieved 2021-05-24.
- ^ "30 Magnetic Resonance in Medicine Papers that Helped to Shape Our Field". from the original on 2020-01-29. Retrieved 2021-05-24.
- ^ "Garmisch MRT 2019 Symposium". from the original on 2020-01-29. Retrieved 2021-05-24.
- ^ "National Academy of Inventors Fellows list". from the original on 2021-05-06. Retrieved 2021-05-23.
- ^ "Daniel Sodickson named Fellow of the National Academy of Inventors". from the original on 2020-12-22. Retrieved 2021-05-24.