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Relaxation Time Estimation from Complex Magnetic Resonance Images
Dipartimento per le Tecnologie, Università degli Studi di Napoli Parthenope, Naples, Italy
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Received: 20 December 2009; in revised form: 23 February 2010 / Accepted: 24 March 2010 / Published: 9 April 2010
Abstract: 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.
Keywords: Magnetic Resonance Imaging; relaxation parameter estimation; statistical signal processing
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MDPI and ACS Style
Baselice, F.; Ferraioli, G.; Pascazio, V. Relaxation Time Estimation from Complex Magnetic Resonance Images. Sensors 2010, 10, 3611-3625.
Baselice F, Ferraioli G, Pascazio V. Relaxation Time Estimation from Complex Magnetic Resonance Images. Sensors. 2010; 10(4):3611-3625.
Baselice, Fabio; Ferraioli, Giampaolo; Pascazio, Vito. 2010. "Relaxation Time Estimation from Complex Magnetic Resonance Images." Sensors 10, no. 4: 3611-3625.