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Saurabh Shah

Researcher at Siemens

Publications -  36
Citations -  1467

Saurabh Shah is an academic researcher from Siemens. The author has contributed to research in topics: Steady-state free precession imaging & Elastography. The author has an hindex of 16, co-authored 35 publications receiving 1339 citations.

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Myocardial Edema as Detected by Pre-Contrast T1 and T2 CMR Delineates Area at Risk Associated With Acute Myocardial Infarction

TL;DR: For determining AAR after acute myocardial infarction, noncontrast T1 mapping and T2 mapping sequences yield similar quantitative results, and both agree well with microspheres.
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Motion correction for myocardial T1 mapping using image registration with synthetic image estimation.

TL;DR: Validation on a consecutive patient data cohort shows that this strategy can perform robust nonrigid registration to align inversion recovery images experiencing significant motion and lead to suppression of motion induced artifacts in the T1 map.
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Assessment of chronic hepatitis and fibrosis: comparison of MR elastography and diffusion-weighted imaging.

TL;DR: MRE had greater predictive ability in distinguishing the stages of liver fibrosis than DWI, and liver tissue with chronic hepatitis preceding fibrosis may account for mild elevation of liver stiffness.
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Accuracy of MR elastography and anatomic MR imaging features in the diagnosis of severe hepatic fibrosis and cirrhosis

TL;DR: To compare the diagnostic accuracy of magnetic resonance imaging elastography (MRE) and anatomic MRI features in the diagnosis of severe hepatic fibrosis and cirrhosis, an apples-to- apples comparison study is conducted.
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Multiecho dixon fat and water separation method for detecting fibrofatty infiltration in the myocardium.

TL;DR: The multiecho Dixon method for fat and water separation provides a sensitive means of detecting intramyocardial fat with positive signal contrast, and the precontrast contrast‐to‐noise ratio (CNR) was greatly improved, by 240% relative to conventional fat suppression.