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Sensors 2010, 10(4), 3611-3625;

Relaxation Time Estimation from Complex Magnetic Resonance Images

Dipartimento per le Tecnologie, Università degli Studi di Napoli Parthenope, Naples, Italy
Author to whom correspondence should be addressed.
Received: 20 December 2009 / Revised: 23 February 2010 / Accepted: 24 March 2010 / Published: 9 April 2010
(This article belongs to the Special Issue Image Sensors 2009)
Full-Text   |   PDF [454 KB, uploaded 21 June 2014]


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. View Full-Text
Keywords: Magnetic Resonance Imaging; relaxation parameter estimation; statistical signal processing Magnetic Resonance Imaging; relaxation parameter estimation; statistical signal processing
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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