S
Samir D. Sharma
Researcher at University of Wisconsin-Madison
Publications - 21
Citations - 948
Samir D. Sharma is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Quantitative susceptibility mapping & Imaging phantom. The author has an hindex of 14, co-authored 20 publications receiving 783 citations. Previous affiliations of Samir D. Sharma include Ohio State University & University of Southern California.
Papers
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Journal ArticleDOI
Quantitative magnetic resonance imaging of hepatic steatosis: Validation in ex vivo human livers.
Peter Bannas,Harald Kramer,Harald Kramer,Diego Hernando,Rashmi Agni,Ashley M. Cunningham,Rakesh Mandal,Utaroh Motosugi,Samir D. Sharma,Alejandro Munoz del Rio,Luis A. Fernandez,Scott B. Reeder +11 more
TL;DR: MRI‐PDFF is an accurate, precise, and reader‐independent noninvasive imaging biomarker of liver triglyceride content, capable of steatosis quantification over the entire liver.
Journal ArticleDOI
Quantitative magnetic resonance imaging phantoms: A review and the need for a system phantom.
Kathryn E. Keenan,Maureen Ainslie,Alex J. Barker,Michael A. Boss,Kim M. Cecil,Cecil Charles,Thomas L. Chenevert,Larry Clarke,Jeffrey L. Evelhoch,Paul Finn,Daniel Gembris,Jeffrey L. Gunter,Derek L. G. Hill,Clifford R. Jack,Edward F. Jackson,Guoying Liu,Stephen E. Russek,Samir D. Sharma,Michael Steckner,Karl F. Stupic,Joshua D. Trzasko,Chun Yuan,Jie Zheng +22 more
TL;DR: This paper, written by members of the Standards for Quantitative Magnetic Resonance committee, reviews standardization attempts and then details the need, requirements, and implementation plan for a standard system phantom for quantitative MRI.
Proceedings ArticleDOI
GOTCHA experience report: three-dimensional SAR imaging with complete circular apertures
TL;DR: In this paper, a model-based approach was proposed to resolve the target features and enhance the volumetric imagery by extrapolating the phase history data using the estimated model.
Journal ArticleDOI
Quantitative susceptibility mapping in the abdomen as an imaging biomarker of hepatic iron overload.
TL;DR: The proposed technique was used to estimate the susceptibility map in the abdomen, from which hepatic iron overload was measured, and high correlation between liver susceptibility and liver R2* was observed.
Journal ArticleDOI
Multisite, multivendor validation of the accuracy and reproducibility of proton-density fat-fraction quantification at 1.5T and 3T using a fat-water phantom.
Diego Hernando,Samir D. Sharma,Mounes Aliyari Ghasabeh,Bret D. Alvis,Sandeep Arora,Gavin Hamilton,Li Pan,Jean Shaffer,Keitaro Sofue,Keitaro Sofue,Nikolaus M. Szeverenyi,E. Brian Welch,Qing Yuan,Mustafa R. Bashir,Ihab R. Kamel,Mark J. Rice,Claude B. Sirlin,Takeshi Yokoo,Scott B. Reeder +18 more
TL;DR: To evaluate the accuracy and reproducibility of quantitative chemical shift‐encoded (CSE) MRI to quantify proton‐density fat‐fraction (PDFF) in a fat–water phantom across sites, vendors, field strengths, and protocols.