Abstract #4491
Measurement of model-free diffusion tensor distribution using Connectome MRI and application in an anaplastic astrocytoma
Yiqiao Song1,2, Ina Ly3, Qiuyun Fan1,4, Aapo Nummenmaa1, Maria Martinez-Lage5, William T. Curry6, Jorg Dietrich3, Deborah A Forst3, Bruce R Rosen1, Susie Y Huang1, and Elizabeth R Gerstner3
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, MGH, Charlestown, MA, United States, 2John A Paulson School of Engineering and Applied Sciences, Harvard Univ, Cambridge, MA, United States, 3Stephen E. and Catherine Pappas Center for Neuro-Oncology, MGH, Boston, MA, United States, 4Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China, 5Department of Pathology, MGH, Boston, MA, United States, 6Department of Neurosurgery, MGH, Boston, MA, United States
Synopsis
The availability of the Connectome MRI scanner with gradient strengths up to 300 mT/m enables resolution of a wider range of diffusion coefficients. This is particularly important for capturing the complexity and heterogeneity of biological tissues. Here, we outline a framework for analyzing diffusion MRI data to obtain a model-free diffusion tensor distribution (FDTD) with a wide variety of diffusion tensor structures and test it on a healthy subject. We apply this method and use K-means clustering to identify features in FDTD to visualize and characterize tissue heterogeneity in a subject with a World Health Organization grade 3 anaplastic astrocytoma.
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