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Abstract #4961

Evaluation of a model-based image reconstruction technique for accelerated point spread function encoded echo planar imaging

Nolan Meyer1,2, Myung-Ho In1, David F Black1, Norbert G Campeau1, Kirk M Welker1, John Huston III1, Matt A Bernstein1, and Joshua D Trzasko1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States

Synopsis

Keywords: Image Reconstruction, Neuro, Clinical, radiologist, evaluationA model-based image reconstruction (MBIR) platform was developed for accelerated point spread function encoded echo planar imaging. Beginning with retrospectively truncated data, images were reconstructed with the enhanced MBIR framework. These were compared by a team of neuroradiologists with images obtained using standard reconstructions from non-truncated datasets. Scores were assigned for evaluation criteria including high-contrast resolution (HCR), low-contrast detectability (LCD), signal to noise ratio (SNR), artifacts, and overall preference. Nonparametric statistical test results indicate preference for MBIR in HCR, LCD, and overall preference, with comparable results for SNR and artifacts. MBIR thus facilitates PSF-EPI acceleration, enhancing clinical practicality.

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Keywords