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Abstract #1524

Pseudo-inverse constrained (PICO) reconstruction reduces colored noise of PROPELLER and improves the gray-white matter differentiation

Jyh-Miin Lin1,2, Shang-Yueh Tsai3, Hing-Chiu Chang4, Hsiao-Wen Chung5, Hsin Chia Chen6,7, Yen-Heng Lin8, Chung-Wei Lee7, Ya-Fang Chen7, Daniel Scoffings9, Tilak Das9, Jonathan H. Gillard2, Andrew J. Patterson10, and Martin J. Graves10

1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, 2Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 3Department of Applied Physics, National Chengchi University, Taipei, Taiwan, 4Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong, 5Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, 6Department of Medical Imaging, Madou Sinlau Hospital, Tainan, Taiwan, 7Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan, 8Department of Medical Imaging, National Taiwan University Hospital Yun-Lin Branch, Taipei, Taiwan, 9Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 10MRIS unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom

The image quality of Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction (PROPELLER) MRI is degraded by the “colored noise” or “blue noise”. Total variation (TV) denoising is expected to reduce colored noise and improve the overall image quality. However, no study has compared different TV algorithms for reducing colored noise. This study explores two TV denoising methods: (1) image domain denoising (IDD), and (2) Pseudo-Inverse COnstrained (PICO) reconstruction. Comparing these two TV denoising methods, PICO significantly reduces the noise level of PROPELLER and improves the gray-white matter differentiation.

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