Abstract #4587

Compressed Sensing Reconstruction Based on Maximum Intensity Projection Images

Dong-Hyun Kim^1,2, 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.