Visualization of Thalamic Subnuclei using DiMANI (Diffusion MRI for Anatomical Nuclei Imaging)

Motivation: Lack of direct visualization methods for thalamic subnuclei has resulted in variable patient outcomes and repeat surgeries in deep brain stimulation (DBS). Goal(s): To generate images with sufficient intra-thalamic contrast to visualize subnuclei for surgical intervention. Approach: We introduce DiMANI, an image obtained from combining diffusion-weighted volumes. We compared DiMANI to atlases as well as intra- and post-operative clinical DBS data. Results: DiMANI showed strong correspondence to anatomical organization from atlases, was highly reproducible, and was observable at both 3T and 7T. Clinical data from six DBS patients corroborated DiMANI’s ability to identify the motor and sensory thalamus locations. Impact: Visualization of thalamic subnuclei is now achievable using DiMANI, enabling direct targeting for DBS and MR-guided focused ultrasound procedures. This will provide immediate impact by enhancing clinical workflow efficiency, improving patient outcomes and advancing brain networks conception.

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/10.58530/2024/2126
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

Visualization of Thalamic Subnuclei using DiMANI (Diffusion MRI for Anatomical Nuclei Imaging)

Noam Harel, Robert A. McGovern, Essa Yacoub, Joshua E. Aman 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

Visualization of Thalamic Subnuclei using DiMANI (Diffusion MRI for Anatomical Nuclei Imaging)

Noam Harel, Robert A. McGovern, Essa Yacoub, Joshua E. Aman, Jerrold L. Vitek, Karianne Sretavan Wong, Rémi Patriat, Henry Braun, Tara Palnitkar, Jayashree Chandrasekaran, Scott E. Cooper
article en

Abstract

Motivation: Lack of direct visualization methods for thalamic subnuclei has resulted in variable patient outcomes and repeat surgeries in deep brain stimulation (DBS). Goal(s): To generate images with sufficient intra-thalamic contrast to visualize subnuclei for surgical intervention. Approach: We introduce DiMANI, an image obtained from combining diffusion-weighted volumes. We compared DiMANI to atlases as well as intra- and post-operative clinical DBS data. Results: DiMANI showed strong correspondence to anatomical organization from atlases, was highly reproducible, and was observable at both 3T and 7T. Clinical data from six DBS patients corroborated DiMANI’s ability to identify the motor and sensory thalamus locations. Impact: Visualization of thalamic subnuclei is now achievable using DiMANI, enabling direct targeting for DBS and MR-guided focused ultrasound procedures. This will provide immediate impact by enhancing clinical workflow efficiency, improving patient outcomes and advancing brain networks conception.

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 65%
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.