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Optimal configuration for relaxation times estimation in complex spin echo imaging.

Baselice F, Ferraioli G, Grassia A, Pascazio V - Sensors (Basel) (2014)

Bottom Line: In this manuscript, a theoretical study related to the evaluation of the achievable performances in the estimation of relaxation times in MRI is proposed.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.

View Article: PubMed Central - PubMed

Affiliation: Dipartimento di Ingegneria, Università degli Studi di Napoli Parthenope, Napoli 80143, Italy. fabio.baselice@uniparthenope.it.

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.

No MeSH data available.


Related in: MedlinePlus

TE values that minimize the CRLB of T2 for tissues with different spin-spin relaxation times, T2. Three values have been considered: the blue line is for the lowest TE value, the red line for the highest one and green for the intermediate one.
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f5-sensors-14-02182: TE values that minimize the CRLB of T2 for tissues with different spin-spin relaxation times, T2. Three values have been considered: the blue line is for the lowest TE value, the red line for the highest one and green for the intermediate one.

Mentions: Let us show how the optimal imaging parameters can be determined. Initially, we have focused on the minimization of T2 CRLB, which consist in finding TE values that minimize the element (3, 3) of the inverse of the Fisher matrix, I(θ), of Equation (6) for different spin-spin relaxation times T2. The optimization has been performed by searching the three optimal TE values in the [82, 350] ms range for a fixed value of TR. The evaluation has been done varying the tissue T2 relaxation times in the [20, 200] ms range, obtaining the results shown in Figure 5. Some considerations can be drawn:


Optimal configuration for relaxation times estimation in complex spin echo imaging.

Baselice F, Ferraioli G, Grassia A, Pascazio V - Sensors (Basel) (2014)

TE values that minimize the CRLB of T2 for tissues with different spin-spin relaxation times, T2. Three values have been considered: the blue line is for the lowest TE value, the red line for the highest one and green for the intermediate one.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3958261&req=5

f5-sensors-14-02182: TE values that minimize the CRLB of T2 for tissues with different spin-spin relaxation times, T2. Three values have been considered: the blue line is for the lowest TE value, the red line for the highest one and green for the intermediate one.
Mentions: Let us show how the optimal imaging parameters can be determined. Initially, we have focused on the minimization of T2 CRLB, which consist in finding TE values that minimize the element (3, 3) of the inverse of the Fisher matrix, I(θ), of Equation (6) for different spin-spin relaxation times T2. The optimization has been performed by searching the three optimal TE values in the [82, 350] ms range for a fixed value of TR. The evaluation has been done varying the tissue T2 relaxation times in the [20, 200] ms range, obtaining the results shown in Figure 5. Some considerations can be drawn:

Bottom Line: In this manuscript, a theoretical study related to the evaluation of the achievable performances in the estimation of relaxation times in MRI is proposed.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.

View Article: PubMed Central - PubMed

Affiliation: Dipartimento di Ingegneria, Università degli Studi di Napoli Parthenope, Napoli 80143, Italy. fabio.baselice@uniparthenope.it.

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.

No MeSH data available.


Related in: MedlinePlus