Abstract #0364

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

Yang Chen^1,2, Jiayu Xiao², Anthony G. Christodoulou³, Debiao Li⁴, Frances Chow⁵, Gabriel Zada⁶, Eric Chang⁷, Mark Shiroishi², and Zhaoyang Fan^1,2

¹Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, ²Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ³Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, ⁴Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ⁵Department of Neuro-oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ⁶Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ⁷Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States

Synopsis

Keywords: Tumors (Post-Treatment), DSC & DCE Perfusion, 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.

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