Algorithms for Mapping Elastic Modulus (a-MEM) Challenge 2024
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.
Objectives of this challenge:
- To challenge the community to devise more accurate and precise algorithms for elastic modulus estimation (via detection and characterisation of propagating shear waves).
- To raise greater awareness of the challenges associated with elastic modulus estimation, and to gain further knowledge on why certain approaches fail.
- To identify the most promising approaches to elastic modulus estimation.
- To provide a benchmark and public data for the future development of SWS and elastic modulus estimation algorithms.
Challenge data: Experimental and simulated IQ/RF images of propagating shear waves from impulse and harmonic (continuous) sources.
Submission data: Elastograms with predefined dimensions.
Timeline:
March 31, 2024: Challenge sign up ends
March 2024: Challenge data released
May 31, 2024: Submission deadline for data and abstracts
June 2024: Results released to participants
September 2024: IEEE UFFC-JS on-site workshop - Poster & oral presentations
Please use the linked form to register your interest in the challenge.
Organizer Names and Institutions:
Emma Harris, Institute of Cancer Research, London, UK
Jeff Bamber, Institute of Cancer Research, London, UK
John Civale, Institute of Cancer Research, London, UK
Mark Palmeri, Duke University, Durham, NC, USA
Heiko Tzschätzsch, Charité-Universitätsmedizin Berlin, Berlin, Germany
Tom Meyer, Charité-Universitätsmedizin Berlin, Berlin, Germany
Matthew Urban, Mayo Clinic College of Medicine and Biomedical Sciences, Rochester, MN, USA
Contact for questions: emma.harris@icr.ac.uk.