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Abstract #4587

Compressed Sensing Reconstruction Based on Maximum Intensity Projection Images

Dong-Hyun Kim1,2, Sung-Min Gho1

1Electrical and Electronic Engineering, Yonsei University, Shinchon-Dong, Seoul, Korea; 2Radiology, Yonsei University, Shinchon-Dong, Seoul, Korea

Compressed sensing algorithm is best fit for images that can have sparse representations in image domain. The 3D volumetric information is best viewed using a maximum intensity projection (MIP) image format. Here, work on combining MIP image with the compressed sensing algorithm is presented, and investigate the usefulness of this approach.