Meeting Banner
Abstract #1712

Image quality improvement using short range finite difference in QSM reconstruction

Maximilian Maerz 1 , Dong Zhou 2 , Yan Zhang 2,3 , Pascal Spincemaille 2 , Lars Ruthotto 1 , and Yi Wang 2

1 Department of Mathematics and Computer Science, Emory University, Atlanta, GA, United States, 2 Weill Cornell Medical College, New York, NY, United States, 3 Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, United States

Gradient is an essential operation in the reconstruction of quantitative susceptibility mapping (QSM). There are central difference and short difference implementation for gradient. We found that different finite difference methods strongly affect image quality in data sets acquired with low resolution (greater than 1mm). Checker board pattern artifacts appeared in the central difference implementation and were effectively suppressed with the short difference implementation.

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

Join Here