Title :
Bayesian image reconstruction for NMR chemical shift imaging
Author :
Hu, Xiaoping ; Patel, Maqbool A S
Author_Institution :
Dept. of Radiol., Minnesota Univ., Minneapolis, MN, USA
Abstract :
An novel iterative technique for reducing the ringing artifacts in chemical shift images due to the truncation of the high spatial frequency is presented. In this approach, one extrapolates the high spatial frequency data guided by the edge information obtained from a high-resolution anatomic image of the region of interest. The errors in the edge information are taken into account by assuming a confidence interval of several pixels around the anatomic edges. The algorithm is validated on simulated and in vivo data, and excellent results are obtained
Keywords :
Bayes methods; biomedical NMR; chemical shift; image reconstruction; iterative methods; medical image processing; Bayesian image reconstruction; HF data truncation; NMR chemical shift imaging; confidence interval; edge information; high spatial frequency data; high-resolution anatomic image; iterative technique; medical diagnostic imaging; ringing artifacts; Bayesian methods; Chemicals; Frequency; Image edge detection; Image reconstruction; Image resolution; In vivo; Nuclear magnetic resonance; Smoothing methods; Spectroscopy;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1992., Conference Record of the 1992 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-0884-0
DOI :
10.1109/NSSMIC.1992.301521
