Robust Simultaneous Multi-Slice Diffusion Tensor Cardiovascular MRI using Referenceless Nyquist Ghost Correction

Motivation: Simultaneous multislice parallel imaging (SMS-PI) improves diffusion tensor cardiovascular MR (DT-CMR) efficiency but requires multiple calibration scans, prolonging acquisition and risking misalignment from heart movement and image artefacts. Goal(s): Enhance SMS-PI DT-CMR efficiency and accuracy, while minimising artefacts to improve cardiac microstructure quantification. Approach: We implemented referenceless EPI ghost correction with 1-step SMS-PI. Comparisons with 2-step, EPI navigator-based methods assessed artefact suppression and diffusion quantification accuracy. Results: Our SMS method reduced ghost and inter-slice leakage artifacts compared to conventional navigator-based 2-step methods, achieving comparable DT-CMR results to single-band approaches. +++ Impact: One-step SMS reconstruction combined with referenceless EPI phase correction enhances imaging efficiency while suppressing ghost and leakage artefacts, enabling a more robust SMS DT-CMR and paving the way for its clinical translation.

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/10.58530/2025/4203
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Simultaneous Multi-Slice Diffusion Tensor Cardiovascular MRI using Referenceless Nyquist Ghost Correction

Karl Kunze, Jaeseok Park, Eun Ji Lim, Radhouène Neji 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
Advanced Neuroimaging Techniques and Applications
article

Robust Simultaneous Multi-Slice Diffusion Tensor Cardiovascular MRI using Referenceless Nyquist Ghost Correction

Karl Kunze, Jaeseok Park, Eun Ji Lim, Radhouène Neji, Andrew Mark Scott, Sònia Nielles‐Vallespin, Pedro G. Ferreira, Dudley J. Pennell, Ke Wen
article en

Abstract

Motivation: Simultaneous multislice parallel imaging (SMS-PI) improves diffusion tensor cardiovascular MR (DT-CMR) efficiency but requires multiple calibration scans, prolonging acquisition and risking misalignment from heart movement and image artefacts. Goal(s): Enhance SMS-PI DT-CMR efficiency and accuracy, while minimising artefacts to improve cardiac microstructure quantification. Approach: We implemented referenceless EPI ghost correction with 1-step SMS-PI. Comparisons with 2-step, EPI navigator-based methods assessed artefact suppression and diffusion quantification accuracy. Results: Our SMS method reduced ghost and inter-slice leakage artifacts compared to conventional navigator-based 2-step methods, achieving comparable DT-CMR results to single-band approaches. +++ Impact: One-step SMS reconstruction combined with referenceless EPI phase correction enhances imaging efficiency while suppressing ghost and leakage artefacts, enabling a more robust SMS DT-CMR and paving the way for its clinical translation.

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%
Advanced Neuroimaging Techniques and Applications
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.