Abstract #2986

FAST 3D vs. Compressed Sensing vs. Parallel Imaging: Image Quality Improvement on MRCP with and without Deep Learning Reconstruction

Takahiro Matsuyama¹, Yoshiharu Ohno^1,2, Kaori Yamamoto³, Kazuhiro Murayama², Masato Ikedo³, Masao Yui³, Akiyoshi Iwase⁴, Takashi Fukuba⁴, Satomu Hanamatsu¹, Yuki Obama¹, Takahiro Ueda¹, Hirotaka Ikeda¹, and Hiroshi Toyama¹

¹Radiology, Fujita Health University School of Medicine, Toyoake, Japan, ²Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, ³Canon Medical Systems Corporation, Otawara, Japan, ⁴Radiology, Fujita Health University Hospital, Toyoake, Japan

We hypothesize that the newly developed FAST 3D can reduce examination time as well as Compressed SPEEDER and obtain MRCP without any degradation of image quality as compared with conventional parallel imaging technique in patients with hepatobiliary and pancreatic diseases. In addition, deep learning reconstruction (i.e.AiCE) has a potential to improve image quality of MRCP obtained by different protocols in routine clinical practice. The purpose of this study was to compare the capability of image quality improvement on MRCP with and without AiCE among FAST 3D, Compressed SPEEDER and conventional parallel imaging (SPEEDER) in patients with hepatobiliary and pancreatic diseases.

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