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Abstract #1019

Characterization of Prostate Microstructure Using Diffusion-Relaxation Correlation Spectrum Imaging and Comparison to Digital Histopathology

Zhaohuan Zhang1,2, Clara Magyar3, Alan Priester4, Sepideh Shakeri1, Sohrab Afshari Mirak1, Amirhossein Mohammadian Bajgiran1, Anthony E. Sisk3, Kyunghyun Sung1,2, Robert E. Reiter4, Dieter R. Enzmann1, Steven S Raman1, and Holden H. Wu1,2

1Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 4Department of Urology, University of California, Los Angeles, Los Angeles, CA, United States

Prostate microstructural MRI has the potential to improve prostate cancer (PCa) detection and characterization by resolving the signal signatures of sub-voxel microscopic tissue compartments. Recently, a new model, Diffusion-Relaxation Correlation Spectrum Imaging (DR-CSI), was developed but has not been applied to prostate imaging. In this work, we investigated Prostate DR-CSI and compared DR-CSI features (signal component fractions) to histopathology features (microscopic tissue compartments) derived from digital pathology, to evaluate this new multi-component signal model for prostate microstructure characterization.

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