Abstract #2249

Gd-EOB-DTPA Enhanced 3D T1WI: Utility of Compressed Sensing with Deep Learning Reconstruction for Liver Tumor Detection Improvement

Hiroyuki Nagata¹, Yoshiharu Ohno^1,2, Takeshi Yoshikawa^2,3, Kaori Yamamoto⁴, Masato Ikedo⁴, Masao Yui⁴, Maiko Shinohara⁴, Akiyoshi Iwase⁵, Takahiro Matsuyama², Takahiro Ueda², Hirotaka Ikeda², Yoshiyuki Ozawa², and Hiroshi Toyama²

¹Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, ²Radiology, Fujita Health University School of Medicine, Toyoake, Japan, ³Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan, ⁴Canon Medical Systems Corporation, Otawara, Japan, ⁵Fujita Health University Hospital, Toyoake, Japan

Synopsis

Keywords: Liver, CancerWe hypothesize that CS with DLR can improve spatial resolution, image quality and tumor detection on Gd-EOB-enhanced 3D T1WI in suspected liver tumor patients. The purpose of this study was to determine the utility of CS and DLR for image quality and liver tumor detection improvements on high-resolution 3D CE-T1WI (HR-CE-T1WI) as compared with conventional 3D CE-T1WI with PI (conventional CE-T1WI) in patients with suspected liver tumors.

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