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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