scispace - formally typeset
M

Mohammad Honarvar

Researcher at University of British Columbia

Publications -  31
Citations -  488

Mohammad Honarvar is an academic researcher from University of British Columbia. The author has contributed to research in topics: Elastography & Magnetic resonance elastography. The author has an hindex of 11, co-authored 27 publications receiving 379 citations.

Papers
More filters
Journal ArticleDOI

Transperineal prostate MR elastography: initial in vivo results.

TL;DR: The results from this study indicate that transperineal magnetic resonance elastography—without an endorectal coil—is a suitable candidate for a patient study involving multiparametric magnetic resonance imaging of prostate cancer, where magnetic resonanceElastography may provide additional information for improved diagnosis and image‐based surveillance.
Journal ArticleDOI

MR elastography of prostate cancer: quantitative comparison with histopathology and repeatability of methods

TL;DR: The purpose of this work was to assess trans‐perineal prostate magnetic resonance elastography for repeatability in phantoms/volunteers and diagnostic power as correlated with histopathology in prostate cancer patients.
Journal ArticleDOI

Travelling Wave Expansion: A Model Fitting Approach to the Inverse Problem of Elasticity Reconstruction

TL;DR: A novel approach to the problem of elasticity reconstruction is introduced, in which the solution of the wave equation is expanded as a sum of waves travelling in different directions sharing a common wave number.
Journal ArticleDOI

Prostate MR elastography with transperineal electromagnetic actuation and a fast fractionally encoded steady-state gradient echo sequence.

TL;DR: Results in a single patient suggest that MRE can identify cancer tumors, although this result is preliminary, and the proposed methods allow the integration of prostate MRE with other multiparametric MRI methods.
Journal ArticleDOI

Sparsity regularization in dynamic elastography

TL;DR: A sparsity regularization technique that uses the discrete cosine transform to transform the elasticity and pressure fields to a sparse domain in which a smaller number of unknowns is required to represent the original field is presented.