Algorithms for Mapping Elastic Modulus (aMEM) Challenge

Elastographic imaging (or elastography) is a powerful, non-invasive, and multiscale technique that can measure the biomechanical properties of tissues. The rapidly expanding interest in elastography in both clinical and preclinical medical research domains, reflects its potential, not only to improve the detection and diagnosis of disease, but also to help understand the underlying mechanobiological mechanisms that promote disease. We challenged the elastographic imaging research community to analyse shear wave data to produce elastograms, which were evaluated for image quality. This paper describes the aims of the challenge, the structure of the challenge, the entries and gives a brief description of how the submissions were evaluated.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/uffc-js60046.2024.10793812
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Algorithms for Mapping Elastic Modulus (aMEM) Challenge

Matthew W. Urban, Jeffrey C. Bamber, Emma Harris, Tom Meyer et al.
Manufacturing Process and Optimization
article

Algorithms for Mapping Elastic Modulus (aMEM) Challenge

Matthew W. Urban, Jeffrey C. Bamber, Emma Harris, Tom Meyer, Mark L. Palmeri, John Civale, Heiko Tzschaetzsch
article en

Abstract

Elastographic imaging (or elastography) is a powerful, non-invasive, and multiscale technique that can measure the biomechanical properties of tissues. The rapidly expanding interest in elastography in both clinical and preclinical medical research domains, reflects its potential, not only to improve the detection and diagnosis of disease, but also to help understand the underlying mechanobiological mechanisms that promote disease. We challenged the elastographic imaging research community to analyse shear wave data to produce elastograms, which were evaluated for image quality. This paper describes the aims of the challenge, the structure of the challenge, the entries and gives a brief description of how the submissions were evaluated.

Mayo Clinic (US), Institute of Cancer Research (GB), Duke University (US)
Cancer Research UK, Institute of Cancer Research, HORIZON EUROPE Health
Openalex Percentile: Top 66%
Manufacturing Process and Optimization
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Algorithms for Mapping Elastic Modulus (aMEM) Challenge — Matthew W. Urban, Jeffrey C. Bamber, et al. · (2024) | TGRS Research Map | TGRS