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Abstract #3655

SNR boost in whole-body DWIBS utilizing deep learning constrained Compressed SENSE reconstruction

Masami Yoneyama1, Takashige Yoshida2, Johannes M Peeters3, Jihun Kwon1, Yasutomo Katsumata3, Shuo Zhang4, and Marc Van Cauteren3
1Philips Japan, Tokyo, Japan, 2Tokyo Metropolitan Police Hospital, Tokyo, Japan, 3Philips Healthcare, Best, Netherlands, 4Philips GmbH Market DACH, Hamburg, Germany


Diffusion weighted whole body imaging with background body signal suppression (DWIBS) is an important tool for whole body imaging to e.g. visualize malignant tumor and abnormal lymph nodes. Next to the low intrinsic SNR of DWIBS, direct coronal DWIBS can suffer from another SNR penalty due to the high acceleration factors to minimize distortion. In this work, we compare SENSE, C-SENSE and C-SENSE-AI (CS-AI) accelerated direct coronal DWIBS scans. Results indicate that CS-AI clearly reduces the noise artifacts, boosts the overall image SNR, and improves lesion conspicuity.

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