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Abstract #0568

Parallel MRI Performance Evaluation of a Novel 32-Channel Fetal Array at 1.5T

MAGNA25Ye Li1, Yong Pang1, Daniel Vigneron1, 2, Orit Glenn1, Duan Xu1, Xiaoliang Zhang1, 2

1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States; 2UCSF/UC Berkeley Joint Graduate Group in Bioengineering, San Francisco, CA, United States

In this work, we aim to evaluate parallel imaging performance of a 32 channel fetal array for fetal MRI at 1.5T. The gradient-echo image intensity of each coil element was calculated based on electromagnetic field distribution of each element. GRAPPA reconstructed images with different acceleration factors were carried out by using PULSAR toolbox. We studied the proposed flexible 32-channel array and compared with a commercial available 8-channel torso array that is routinely used in clinical fetal imaging. Our results show that the proposed fetal array improves parallel imaging performance for fetal MRI in terms of Artifact Power (AP) and image intensity.