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Abstract #2606

Compressed Sensing and Parallel Imaging on 3D Uterus Imaging

Yaxin Niu1, Ailian Liu1, Shifeng Tian1, Lihua Chen1, Qingwei Song1, Jiazheng Wang2, and Zhiwei Shen2
1The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Da Lian, China, 2Philips Healthcare, Beijing, China, Beijing, China

Acquisition time is one of the main limiting factors in MRI. Compressed sensing is an emerging technology proven to effectively shorten scan time in several clinical scenarios. Here we propose to apply a combination of compressed sensing and sensitivity encoding in 3D uterus imaging that yields 1x1x2 mm3 resolution and uncompromised image quality with 5-fold acquisition acceleration.

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