Meeting Banner
Abstract #1092

Non-Iterative Motion-Error Regularized Reconstruction for Efficient Respiratory Gating with Auto-Calibrating Parallel Imaging

Peng Lai1, Joseph Yitan Cheng2, Shreyas S Vasanawala2, and Anja C.S Brau3

1Global MR Applications and Workflow, GE Healthcare, Menlo Park, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Global MR Applications and Workflow, GE Healthcare, Munich, Germany

Respiratory gating (RG) is commonly used for free-breathing 3D MRI. Conventional RG based on acceptance/rejection performs hard-threshholding on acquired data and suffers from either increased motion corruption with a large acceptance window or long scan time/increased undersampling artifacts with a small window. This work developed a non-iterative respiratory soft-threshholding method by incorporating the motion-induced error into autocalibrating parallel imaging (ac-PI). The proposed method showed more effective motion suppression on free-breathing 3D cine than conventional respiratory gating on the same datasets. This method can be generalized to suppress other types of motion with full acquisition or ac-PI as well.

This abstract and the presentation materials are available to members only; a login is required.

Join Here