A Non-Linear Gradient Insert for Prostate Diffusion Imaging

Motivation: A sensitive imaging method that distinguishes benign or low-grade prostate lesions from aggressive ones is one of the greatest needs in prostate cancer. Goal(s): To develop new prostate DWI technique using a non-linear gradient (NLG) to improve the diagnostic accuracy of prostate cancer. Approach: Using an NLG coil, we can circumvent the challenge of high b-value requirements by having a gradient with a high amplitude within a limited field of view, which applies to prostate imaging. Results: We demonstrate feasibility of using an NLG for prostate imaging, after validation with a polyvinylpyrrolidone (PVP) phantom and testing SE and EPI sequences with prostate ADC-mapping. Impact: To better diagnose prostate cancer with high sensitivity, we use an NLG insert coil. Using only one DWI and one non-diffusion image we showed comparable ADC maps to those produced using gold standard multi-shell linear gradient sequences.

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/10.58530/2024/3507
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

A Non-Linear Gradient Insert for Prostate Diffusion Imaging

Jeffrey C. Weinreb, Nahla Elsaid, Gigi Galiana, R. Todd Constable 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

A Non-Linear Gradient Insert for Prostate Diffusion Imaging

Jeffrey C. Weinreb, Nahla Elsaid, Gigi Galiana, R. Todd Constable, Zhehong Zhang, Terence W. Nixon
article en

Abstract

Motivation: A sensitive imaging method that distinguishes benign or low-grade prostate lesions from aggressive ones is one of the greatest needs in prostate cancer. Goal(s): To develop new prostate DWI technique using a non-linear gradient (NLG) to improve the diagnostic accuracy of prostate cancer. Approach: Using an NLG coil, we can circumvent the challenge of high b-value requirements by having a gradient with a high amplitude within a limited field of view, which applies to prostate imaging. Results: We demonstrate feasibility of using an NLG for prostate imaging, after validation with a polyvinylpyrrolidone (PVP) phantom and testing SE and EPI sequences with prostate ADC-mapping. Impact: To better diagnose prostate cancer with high sensitivity, we use an NLG insert coil. Using only one DWI and one non-diffusion image we showed comparable ADC maps to those produced using gold standard multi-shell linear gradient sequences.

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
Good health and well-being
Openalex Percentile: Top 63%
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.

A Non-Linear Gradient Insert for Prostate Diffusion Imaging — Jeffrey C. Weinreb, Nahla Elsaid, 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 (2024) | TGRS Research Map | TGRS