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Abstract #3241

A Comprehensive Quality Assessment on Fast MRI Acquisition with united Compressed Sensing Techniques

Zhuoyang Gu1, Lianghu Guo1, Qing Yang1, Xinyi Cai1, Tianli Tao1, Sifan He1, Qian Wang1, He Qiang2, Dinggang Shen1, and Han Zhang1
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2United Imaging Healthcare Co., Ltd., Shanghai, China

Synopsis

Keywords: Parallel Imaging, Data Acquisition, Quality AssessmentMRI acquisition from certain populations is difficult. For instance, infant MRI without sedation during wakefulness has a high failure rate due to head motion. Thus, a shorter scan time is required. Increasing studies focused on fast MRI acquisition but few studies examined their qualities. We argue that only calculating common image quality metrics (e.g., SNR) may not meet the satisfaction of brain MRI analysis with fast acquisition techniques. A whole-process quality assessment method is thus proposed comparing different fast acquisition techniques with practical guidelines. In future, comprehensive quality assessment on fast MRI acquisitions can become a study routine.

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Keywords