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Abstract #3872

Evaluation of image quality of compressed sensing MRI with natural image quality evaluator

Thai Akasaka1, Koji Fujimoto2, Tomohisa Okada1, Yasutaka Fushimi1, Akira Yamamoto1, Takayuki Yamamoto1, Toshiyuki Tanaka3, Masayuki Ohzeki3, and Kaori Togashi1

1Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, Japan

Many image quality assessments (IQA) have been proposed for natural image assessment but few reports have applied them to MRI images, much less to reconstructed images by compressed sensing (CS). Ten subjects were scanned for time-of-flight MR angiography (TOF-MRA), retrospectively under-sampled, and reconstructed by CS. The reconstructed images were evaluated subjectively by radiologists and quantitatively by several IQAs. Structural similarity, scale-invariant feature transform and natural image quality evaluator correlate well with radiologists’ perception and hence can be used to determine the optimal parameters for CS of TOF-MRA.

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