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

fYear

1992

fDate

25-31 Oct 1992

Firstpage

1312

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NSSMIC.1992.301521

Filename

301521