Visualisation of shear from cine MRI: towards detection of gastrointestinal adhesions

Motivation: Imaging gastrointestinal obstructions and adhesions forms part of the 2024 Challenge on Unmet Clinical Needs. Goal(s): The goal is to investigate an analysis of tissue motion that may be able to distinguish adhering regions of tissue from normally-moving tissue. Approach: Time frames are non-rigidly registered giving a series of deformation fields. From these fields, a shear strain can be calculated at each pixel for each time frame. Summing over all the frames gives a single map of shear strain. Results: There is a visual correspondence between regions that are static, or move rigidly, and regions identified as having a low shear strain. Impact: Shear strain is presented as a color overlay over a cine gastrointestinal motility sequence. This visualisation may aid radiological detection of adhesions and subsequently direct more appropriate surgical intervention.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4163
Primary Topic
Intestinal and Peritoneal Adhesions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Visualisation of shear from cine MRI: towards detection of gastrointestinal adhesions

Stuart A. Taylor, David Atkinson
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Intestinal and Peritoneal Adhesions
article

Visualisation of shear from cine MRI: towards detection of gastrointestinal adhesions

Stuart A. Taylor, David Atkinson
article en

Abstract

Motivation: Imaging gastrointestinal obstructions and adhesions forms part of the 2024 Challenge on Unmet Clinical Needs. Goal(s): The goal is to investigate an analysis of tissue motion that may be able to distinguish adhering regions of tissue from normally-moving tissue. Approach: Time frames are non-rigidly registered giving a series of deformation fields. From these fields, a shear strain can be calculated at each pixel for each time frame. Summing over all the frames gives a single map of shear strain. Results: There is a visual correspondence between regions that are static, or move rigidly, and regions identified as having a low shear strain. Impact: Shear strain is presented as a color overlay over a cine gastrointestinal motility sequence. This visualisation may aid radiological detection of adhesions and subsequently direct more appropriate surgical intervention.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 60%
Intestinal and Peritoneal Adhesions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.