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Abstract #4963

Accurate Iterative Reconstruction Algorithm from Undersampled Radial Trajectory

Sung-Min Gho1, Dong-Hyun Kim1,2

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


Radial k-space sampled data can be reconstructed using a variety of schemes such as gridding, filtered back-projection (FBP), etc. Recently, the iterative next-neighbor regridding (INNG) algorithm was proposed as a means for accurate reconstruction. However, these algorithms have drawbacks in their ability to reconstruct image from undersampled radial trajectory. Therefore, we propose a new algorithm to reconstruct accurate images from undersampled radial trajectory.