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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