Ultra-high resolution b-tensor encoding using gSlider on a clinical scanner

Motivation: Spherical tensor encoding (STE) reveals microstructural information about tissues, which is hidden in conventional diffusion MRI techniques. However, existing STE acquisition techniques have low spatial resolution which masks intricate anatomical details. Goal(s): To increase the spatial resolution of STE using the SNR-efficient gSlider sequence. Approach: Isotropic b-tensor encoding diffusion-gradient waveforms were synergistically combined with the gSlider sequence using Pulseq vendor-neutral sequence development platform to obtain high resolution data. Results: We demonstrate in-vivo results with the highest spatial resolution to-date of 1 mm isotropic voxels using the proposed STE-gSlider sequence. Impact: High spatial resolution for b-tensor encoding will enable investigation of microstructural information in intricate detail in the brain in health and disease. Further, the proposed open-source sequence can be used on any vendor platform.

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/10.58530/2024/2436
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultra-high resolution b-tensor encoding using gSlider on a clinical scanner

Lipeng Ning, Jon‐Fredrik Nielsen, Borjan Gagoski, William A. Grissom et al.
2 links
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
Computational Physics and Python Applications
article

Ultra-high resolution b-tensor encoding using gSlider on a clinical scanner

Lipeng Ning, Jon‐Fredrik Nielsen, Borjan Gagoski, William A. Grissom, Carl‐Fredrik Westin, Congyu Liao, Yogesh Rathi, Maxim Zaitsev, Berkin Bilgic̦, Qiang Liu
article en

Abstract

Motivation: Spherical tensor encoding (STE) reveals microstructural information about tissues, which is hidden in conventional diffusion MRI techniques. However, existing STE acquisition techniques have low spatial resolution which masks intricate anatomical details. Goal(s): To increase the spatial resolution of STE using the SNR-efficient gSlider sequence. Approach: Isotropic b-tensor encoding diffusion-gradient waveforms were synergistically combined with the gSlider sequence using Pulseq vendor-neutral sequence development platform to obtain high resolution data. Results: We demonstrate in-vivo results with the highest spatial resolution to-date of 1 mm isotropic voxels using the proposed STE-gSlider sequence. Impact: High spatial resolution for b-tensor encoding will enable investigation of microstructural information in intricate detail in the brain in health and disease. Further, the proposed open-source sequence can be used on any vendor platform.

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
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Computational Physics and Python 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.