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Sharmila Majumdar

Researcher at University of California, San Francisco

Publications -  505
Citations -  29773

Sharmila Majumdar is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Osteoarthritis & Cartilage. The author has an hindex of 88, co-authored 477 publications receiving 27074 citations. Previous affiliations of Sharmila Majumdar include University of California & Georgia Regents University.

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Combination of topological parameters and bone volume fraction better predicts the mechanical properties of trabecular bone.

TL;DR: Topological parameters and BV/TV were combined following two analytical formulations, based on: the normalization of the topological parameters; and on an exponential fit-model, which could potentially be used to increase the prediction of the mechanical properties of trabecular bone.
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The effect of voxel size on high-resolution peripheral computed tomography measurements of trabecular and cortical bone microstructure

TL;DR: The effect of voxel size on the accuracy of HR-pQCT measurements of trabecular and cortical microstructure is demonstrated and parameters for HR- pQCT analysis at nonstandard resolutions are presented.
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A comparative study at 3 T of sequence dependence of T2 quantitation in the knee.

TL;DR: T2 quantification can be a valuable tool for the diagnosis of degenerative disease and when choosing a sequence for quantitation, it is important to realize that several factors affect the measured T2 relaxation time.
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Volumetric quantitative CT of the spine and hip derived from contrast-enhanced MDCT: conversion factors

TL;DR: With the conversion factors, reliable volumetric BMD measurements can be calculated for the hip and the spine from routine abdominal and pelvic MDCT data sets.