Abstract #4963

Accurate Iterative Reconstruction Algorithm from Undersampled Radial Trajectory

Sung-Min Gho¹, Dong-Hyun Kim^1,2

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.