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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