Abstract #4491

Measurement of model-free diffusion tensor distribution using Connectome MRI and application in an anaplastic astrocytoma

Yiqiao Song^1,2, Ina Ly³, Qiuyun Fan^1,4, 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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