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Abstract #4464

A method to combine multi NEX diffusion weighted images using Homomorphic filter

Sangwoo Lee 1 , Mitsuhiro Bekku 2 , Jeong Min Lee 3 , Jeong Hee Yoon 3 , Yuji Iwadate 4 , and Hiroyuki Kabasawa 4

1 Global MR Applications and Workflow, GE Healthcare, Seoul, Korea, 2 MR Engineering, GE Healthcare, Hino-shi, Tokyo, Japan, 3 Seoul National University Hospital, Seoul, Korea, 4 Global MR Applications and Workflow, Hino-shi, Tokyo, Japan

Tissue movements from respiration, cardiac, and peristaltic motion during diffusion gradient can cause signal loss, which often leads to local overestimation of ADC map. To reduce motion induced signal loss, maximum intensity projection, weighted averaging or weighted multiplication methods have been proposed. These post processing methods are simple and efficient; however the final images cannot achieve pixel intensities higher than acquired raw images. To overcome such limitation, we propose a new image combining method with homomorphic filtering (H-MSW) and show the feasibility of the proposed via simulation and in vivo experiment.

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