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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