Image quality assessment of multi-shot echo-planar diffusion weighted imaging for in vivo breast cancer screening

Motivation: High b-value multi-shot echo-planar imaging (MS-EPI) diffusion weighted imaging (DWI) offers reduced distortion, high resolution, and high contrast that is promising for breast cancer screening. Improvements to reconstruction robustness are enabling use of higher b-values and higher shot counts. Goal(s): To assess breast MS-EPI DWI image quality versus number of shots and b-value across many exams. Approach: Two-shot (clinical) and six-shot (research) MS-EPI DWI sequences with different b-values will be used to screen approximately 200 women at high risk for breast cancer. Three raters will evaluate image artifact severity. Average ratings will be calculated for each sequence/b-value. Impact: Multi-shot DWI EPI can offer efficient, non-contrast enhanced breast cancer screening, but may suffer from artifacts that make images unusable. Evaluating the robustness of multi-shot DWI EPI will direct future efforts to translate these sequences for widespread clinical use.

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
2025-09-16
DOI
https://doi.org/10.58530/2025/0432
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Image quality assessment of multi-shot echo-planar diffusion weighted imaging for in vivo breast cancer screening

Philip Lee, Catherine J. Moran, Bruce L. Daniel, Arnaud Guidon et al.
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
MRI in cancer diagnosis
article

Image quality assessment of multi-shot echo-planar diffusion weighted imaging for in vivo breast cancer screening

Philip Lee, Catherine J. Moran, Bruce L. Daniel, Arnaud Guidon, Brian A. Hargreaves, Patricia Lan, Katherine A. Young, Judith Zimmermann, Preya Shah, Kalina V. Jordanova, Xuetong Zhou
article en

Abstract

Motivation: High b-value multi-shot echo-planar imaging (MS-EPI) diffusion weighted imaging (DWI) offers reduced distortion, high resolution, and high contrast that is promising for breast cancer screening. Improvements to reconstruction robustness are enabling use of higher b-values and higher shot counts. Goal(s): To assess breast MS-EPI DWI image quality versus number of shots and b-value across many exams. Approach: Two-shot (clinical) and six-shot (research) MS-EPI DWI sequences with different b-values will be used to screen approximately 200 women at high risk for breast cancer. Three raters will evaluate image artifact severity. Average ratings will be calculated for each sequence/b-value. Impact: Multi-shot DWI EPI can offer efficient, non-contrast enhanced breast cancer screening, but may suffer from artifacts that make images unusable. Evaluating the robustness of multi-shot DWI EPI will direct future efforts to translate these sequences for widespread clinical use.

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 64%
MRI in cancer diagnosis
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.