Next Article in Journal
DMP: Detouring Using Multiple Paths against Jamming Attack for Ubiquitous Networking System
Next Article in Special Issue
A Rigid Image Registration Based on the Nonsubsampled Contourlet Transform and Genetic Algorithms
Previous Article in Journal
Flexible Temperature Sensor Array Based on a Graphite-Polydimethylsiloxane Composite
Previous Article in Special Issue
Improving the Ability of Image Sensors to Detect Faint Stars and Moving Objects Using Image Deconvolution Techniques
Sensors 2010, 10(4), 3611-3625; doi:10.3390/s100403611

Relaxation Time Estimation from Complex Magnetic Resonance Images

*  and
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)
View Full-Text   |   Download 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.
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).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Baselice, F.; Ferraioli, G.; Pascazio, V. Relaxation Time Estimation from Complex Magnetic Resonance Images. Sensors 2010, 10, 3611-3625.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert