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Abstract #2004

Phase-Constrained Reconstruction for Enhancing PROPELLER SNR

Yuchou Chang1, Gulfam Ahmed Saju1, Jasina Yu1, Reza Abiri2, Tianming Liu3, and Zhiqiang Li4
1Computer and Information Science, University of Massachusetts Dartmouth, North Dartmouth, MA, United States, 2Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States, 3Computer Science, University of Georgia, Athens, GA, United States, 4Neuroradiology, Barrow Neurological Institute, Phoenix, AZ, United States

Synopsis

Keywords: Motion Correction, Parallel ImagingPROPELLER blade acquisition has been accelerated by undersampling blade k-space data. Missing data on each blade can be reconstructed by parallel MRI reconstruction methods. However, noise deteriorates the blade and the overall image quality. To enhance the signal-to-noise ratio (SNR), phase-constrained reconstruction is studied for improving the SNR of PROPELLER imaging. Phase-constrained reconstruction can improve PROPELLER imaging SNR when the acceleration of data acquisition is used. Optimal selection of the ACS lines and the outer reduction factors is expected to achieve a better SNR and accelerate the PROPELLER imaging speed simultaneously.

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