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Abstract #1773

Improved identification and clinical utility of pseudo-inverse with constraints (PICO) reconstruction for PROPELLER MRI

Jyh-Miin Lin1, Andrew J. Patterson2, Chung-Wei Lee3, Ya-Fang Chen3, Tilak Das4, Daniel Scoffings5, Hsiao-Wen Chung6, Jonathan H. Gillard1, and Martin J. Graves2

1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2MRIS unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 3Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan, 4Addenbrooke’s Hospital, Cambridge, United Kingdom, 5Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 6Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

PROPELLER MRI can reduce motion artifacts. However, the colored noise of PROPELLER could degrade the image quality. Although the iterative Pseudo-Inverse with COnstraints (PICO) has been proposed to improve the image quality metrics, further clinical validation is needed. In this study, two neuroradiologists compared the image quality of PICO with the standard density compensation. Results show that PICO significantly improves the identification of two anatomical structures and the clinical utility.

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