Improved MR Multitasking-based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE): Towards Multiparametric Brain Tumor Evaluation

Motivation: The lack of pathophysiologically relevant quantitative information hinders the precision management of brain tumors. Specifically, the characterization of intra-tumor heterogeneity influencing treatment decision-making, remains a critical challenge. Goal(s): This work aims to optimize a recently developed technique MT-DICE, to provide multiparametric mapping information for more comprehensive brain tumor evaluation. Approach: The MT-DICE technique was further refined by including 3D flow compensation, dictionary-based mapping, and water exchange quantification. Assessments for the repeatability of MT-DICE parameters and their agreement with routine measurements were performed. Results: Excellent reproducibility and agreement were achieved. Spatially co-registered multiparametric maps from MT-DICE facilitated comprehensive brain tumor characterization. Impact: Individuals with brain tumors may benefit from more comprehensive brain tumor evaluation using multiparametric maps derived from our improved MT-DICE technique.

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/10.58530/2024/0364
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

Improved MR Multitasking-based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE): Towards Multiparametric Brain Tumor Evaluation

Mark S. Shiroishi, Frances Chow, Zhaoyang Fan, Eric L. Chang 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 MRI Techniques and Applications
article

Improved MR Multitasking-based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE): Towards Multiparametric Brain Tumor Evaluation

Mark S. Shiroishi, Frances Chow, Zhaoyang Fan, Eric L. Chang, Jiayu Xiao, Gabriel Zada, Yang Chen, Anthony Christodoulou, Debiao Li
article en

Abstract

Motivation: The lack of pathophysiologically relevant quantitative information hinders the precision management of brain tumors. Specifically, the characterization of intra-tumor heterogeneity influencing treatment decision-making, remains a critical challenge. Goal(s): This work aims to optimize a recently developed technique MT-DICE, to provide multiparametric mapping information for more comprehensive brain tumor evaluation. Approach: The MT-DICE technique was further refined by including 3D flow compensation, dictionary-based mapping, and water exchange quantification. Assessments for the repeatability of MT-DICE parameters and their agreement with routine measurements were performed. Results: Excellent reproducibility and agreement were achieved. Spatially co-registered multiparametric maps from MT-DICE facilitated comprehensive brain tumor characterization. Impact: Individuals with brain tumors may benefit from more comprehensive brain tumor evaluation using multiparametric maps derived from our improved MT-DICE technique.

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
Clean water and sanitation
Openalex Percentile: Top 63%
Advanced MRI Techniques and Applications
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Improved MR Multitasking-based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE): Towards Multiparametric Brain Tumor Evaluation — Mark S. Shiroishi, Frances Chow, 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