Next Article in Journal
A Multimetric, Map-Aware Routing Protocol for VANETs in Urban Areas
Next Article in Special Issue
Towards Using NMR to Screen for Spoiled Tomatoes Stored in 1,000 L, Aseptically Sealed, Metal-Lined Totes
Previous Article in Journal
Development of Real-Time Dual-Display Handheld and Bench-Top Hybrid-Mode SD-OCTs
Previous Article in Special Issue
Detection of Virgin Olive Oil Adulteration Using Low Field Unilateral NMR
Sensors 2014, 14(2), 2182-2198; doi:10.3390/s140202182
Article

Optimal Configuration for Relaxation Times Estimation in Complex Spin Echo Imaging

1,* , 2
,
1
 and
1
Received: 27 November 2013 / Revised: 9 January 2014 / Accepted: 9 January 2014 / Published: 28 January 2014
(This article belongs to the Special Issue Magnetic Resonance Sensors)
View Full-Text   |   Download PDF [2322 KB, 21 June 2014; original version 21 June 2014]   |   Browse Figures

Abstract

Many pathologies can be identified by evaluating differences raised in the physical parameters of involved tissues. In a Magnetic Resonance Imaging (MRI) framework, spin-lattice T1 and spin-spin T2 relaxation time parameters play a major role in such an identification. In this manuscript, a theoretical study related to the evaluation of the achievable performances in the estimation of relaxation times in MRI is proposed. After a discussion about the considered acquisition model, an analysis on the ideal imaging acquisition parameters in the case of spin echo sequences, i.e., echo and repetition times, is conducted. In particular, the aim of the manuscript consists in providing an empirical rule for optimal imaging parameter identification with respect to the tissues under investigation. Theoretical results are validated on different datasets in order to show the effectiveness of the presented study and of the proposed methodology.
Keywords: Magnetic Resonance Imaging; complex decomposition; statistical signal processing; Cramer–Rao lower bounds; relaxation time estimation Magnetic Resonance Imaging; complex decomposition; statistical signal processing; Cramer–Rao lower bounds; relaxation time estimation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

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

Baselice, F.; Ferraioli, G.; Grassia, A.; Pascazio, V. Optimal Configuration for Relaxation Times Estimation in Complex Spin Echo Imaging. Sensors 2014, 14, 2182-2198.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

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