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Abstract #4375

Automatic Segmentation in Ischemic Stroke Rodent Brain with Pattern-recognition of Directional Intravoxel Incoherent Motion MRI

MinJung Jang1, Seokha Jin1, MungSoo Kang1, SoHyun Han2, and HyungJoon Cho1
1Biomedical Engineering, Ulsan national institute of science and technology, Ulsan, Republic of Korea, 2Center for Neuroscience Imaging Research, Institute of Basic Science, Suwon, Republic of Korea

The purpose of this study is to demonstrate automatic segmentation for reduced diffusion and perfusion areas in ischemic stroke brains with pattern-recognition (constrained non-negative matrix factorization (cNMF)) to directional intravoxel incoherent motion MRI (IVIM-MRI). The robustness of region segmentation with pattern-recognition was observed in both simulations and in vivo experiments. Using pattern-recognition analysis of IVIM signal, white matter in which flow may have been aligned, and lesion regions are automatically segmented in ischemic stroke brain. In this study, we successfully implemented pattern-recognition to directional IVIM signals.

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