Optimization of tag thickness for measuring position with magnetic resonance imaging

Author

Atalar, Ergin ; McVeigh, Elliot R.

Author_Institution

Dept. of Biomed. Eng., Johns Hopkins Univ. Sch. of Med., Baltimore, MD, USA

Volume

13

Issue

1

fYear

1994

fDate

3/1/1994 12:00:00 AM

Firstpage

152

Lastpage

160

Abstract

Using magnetic resonance (MR) tagging, it is possible to track tissue motion by accurate detection of tag line positions. The authors show that with a least squares estimation algorithm, it is possible to define the position of the tag lines with a precision on the order of a tenth of a pixel. They calculate the Cramer-Rao bound for the tag position estimation error as a function of the tag thickness, the shape of the tag profile and line spread function of the MR imaging system. The tag thickness that minimizes tag position estimation error is between 0.8 to 1.5 pixels depending on the shape of the tag and the line spread function. In addition, tag position estimation error is inversely proportional to contrast-to-noise ratio between the tag and the background tissue. The theoretical results obtained in this study were verified by experiments performed on a whole-body 1.5 T MR imager and Monte-Carlo simulation studies

Keywords

biomedical NMR; biomedical measurement; optimisation; position measurement; 1.5 T; Cramer-Rao bound; Monte-Carlo simulation; background tissue; contrast-to-noise ratio; line spread function; magnetic resonance imaging; medical diagnostic imaging; tag position estimation error; tag profile; tag thickness optimization; tissue motion tracking; whole-body imaging; Estimation error; Heart; Least squares approximation; Magnetic resonance imaging; Myocardium; Position measurement; Tagging; Technical Activities Guide -TAG; Thickness measurement; Tracking;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.276154

Filename

276154