A Quasi-Analytical Method for Relaxation Rate Distribution Determination of T2-Weighted MRI in Brain

Author

Martin-Landrove, M. ; Figueroa, G. ; Paluszny, M. ; Torres, W.

Author_Institution

Univ. Central de Venezuela, Caracas

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

1318

Lastpage

1321

Abstract

A quasi-analytical method for the determination of relaxation rate distribution functions in T2-weighted MRI in brain is proposed. The method solves analytically the set of nonlinear polynomial equations on the assumption that the transversal magnetization decay in Carr-Purcell-Meiboom-Gill (CPMG) T2-weighted MR brain images can be decomposed in a finite number of exponential decays, each one corresponding to a particular tissue class. The proposed method was validated by numerical simulations and applied to the calculation of relaxation rate distribution functions of tumoral lesions in brain.

Keywords

biomagnetism; biomedical MRI; brain; cancer; magnetic relaxation; magnetisation; nonlinear equations; polynomials; tumours; Carr-Purcell-Meiboom-Gill brain images; T2-weighted MRI images; brain; exponential decays; nonlinear polynomial equations; quasianalytical method; relaxation rate distribution determination; transversal magnetization decay; tumoral lesions; Brain; Distribution functions; Image analysis; Lesions; Magnetic analysis; Magnetic resonance imaging; Magnetization; Nonlinear equations; Numerical simulation; Polynomials; Algorithms; Brain; Brain Neoplasms; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Numerical Analysis, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4352540

Filename

4352540