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Abstract #1283

Combined cluster analysis of time evolution and tissue type with total variation denoising (CCTV) for QQ-based oxygen extract fraction mapping

Junghun Cho1, Pascal Spincemaille1, Thanh D Nguyen1, Ajay Gupta1, and Yi Wang1,2
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Biomedical Engineering, Cornell University, Ithaca, NY, United States

A Combined Cluster analysis of time evolution and tissue type with Total Variation denoising (CCTV) was developed to suppress noise propagation in oxygen extraction fraction (OEF) maps based on the QSM+qBOLD (QQ) model of multi-echo gradient echo data without vascular challenge. Compared to cluster analysis of time evolution (CAT), the developed CCTV provided more accurate OEF in simulation and greater contrast to noise ratio between lesion and its healthy contralateral side in ischemic stroke patients.

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