Relaxation Time Estimation from Complex Magnetic Resonance Images

Sensors

Fabio Baselice²  Giampaolo Ferraioli¹ 

[1] Dipartimento per le Tecnologie, Università degli Studi di Napoli Parthenope, Naples, Italy;

关键词: Magnetic Resonance Imaging;    relaxation parameter estimation;    statistical signal processing;   

DOI  :  10.3390/s100403611

来源: mdpi

【 摘 要 】

Magnetic Resonance (MR) imaging techniques are used to measure biophysical properties of tissues. As clinical diagnoses are mainly based on the evaluation of contrast in MR images, relaxation times assume a fundamental role providing a major source of contrast. Moreover, they can give useful information in cancer diagnostic. In this paper we present a statistical technique to estimate relaxation times exploiting complex-valued MR images. Working in the complex domain instead of the amplitude one allows us to consider the data bivariate Gaussian distributed, and thus to implement a simple Least Square (LS) estimator on the available complex data. The proposed estimator results to be simple, accurate and unbiased.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel (Switzerland).