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Abstract #2543

Comparison of 2D versus 3D sparse priors in Compressed Sensing reconstruction of Time-of-flight (TOF) MR angiography

Thai Akasaka 1 , Koji Fujimoto 1 , Takayuki Yamamoto 1 , Tomohisa Okada 1 , Yasutaka Fushimi 1 , Akira Yamamoto 1 , Toshiyuki Tanaka 2 , Kei Sano 2 , Masayuki Ohzeki 2 , and Kaori Togashi 1

1 Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Kyoto, Japan, 2 Kyoto University Graduate School of Informatics, Kyoto, Japan

The application of compressed sensing (CS) to Time-of-Flight MRA is usually 2D-based, although exploitation of 3D sparsity should perform better in principle. We performed CS with 4x accelerated data at 3.0T by the FCSA algorithm in both a 2D and 3D Wavelet and Total Variation reconstruction scheme. Among different results with varying weights for each priors, the best 2D and 3D-based images were subjectively selected. Images were evaluated by two radiologists, and visualization of clinically relevant structures were slightly superior for the best 3D-based image compared with best 2D-based image. Similarity measures were also in agreement with these results.

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