Iterative Structural and Functional Synergistic Resolution Recovery (iSFS-RR) Applied to PET-MR Images in Epilepsy

J. Silva-Rodríguez; J. Cortés; X. Rodríguez-Osorio; J. López-Urdaneta; J. Pardo-Montero; P. Aguiar; C. Tsoumpas

doi:10.1109/TNS.2016.2527826

Iterative Structural and Functional Synergistic Resolution Recovery (iSFS-RR) Applied to PET-MR Images in Epilepsy

J. Silva-Rodríguez, J. Cortés, X. Rodríguez-Osorio, J. López-Urdaneta, J. Pardo-Montero, P. Aguiar, C. Tsoumpas

Research output: Contribution to journal › Article › Academic › peer-review

5 Citations (Scopus)

Abstract

Structural Functional Synergistic Resolution Recovery (SFS-RR) is a technique that uses supplementary structural information from MR or CT to improve the spatial resolution of PET or SPECT images. This wavelet-based method may have a potential impact on the clinical decision-making of brain focal disorders such as refractory epilepsy, since it can produce images with better quantitative accuracy and enhanced detectability. In this work, a method for the iterative application of SFS-RR (iSFS-RR) was firstly developed and optimized in terms of convergence and input voxel size, and the corrected images were used for the diagnosis of 18 patients with refractory epilepsy. To this end, PET/MR images were clinically evaluated through visual inspection, atlas-based asymmetry indices (AIs) and SPM (Statistical Parametric Mapping) analysis, using uncorrected images and images corrected with SFS-RR and iSFS-RR. Our results showed that the sensitivity can be increased from 78% for uncorrected images, to 84% for SFS-RR and 94% for the proposed iSFS-RR. Thus, the proposed methodology has demonstrated the potential to improve the management of refractory epilepsy patients in the clinical routine.

Original language	English
Pages (from-to)	2434-2442
Number of pages	9
Journal	IEEE Transactions on Nuclear Science
Volume	63
Issue number	5
DOIs	https://doi.org/10.1109/TNS.2016.2527826
Publication status	Published - Oct-2016
Externally published	Yes

Keywords

Epilepsy
image processing
partial volume correction
PET-MR

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Iterative Structural and Functional Synergistic Resolution Recovery (iSFS-RR) Applied to PET-MR Images in Epilepsy
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@article{269acb1903b541be820f4fe2ef9a603f,

title = "Iterative Structural and Functional Synergistic Resolution Recovery (iSFS-RR) Applied to PET-MR Images in Epilepsy",

abstract = "Structural Functional Synergistic Resolution Recovery (SFS-RR) is a technique that uses supplementary structural information from MR or CT to improve the spatial resolution of PET or SPECT images. This wavelet-based method may have a potential impact on the clinical decision-making of brain focal disorders such as refractory epilepsy, since it can produce images with better quantitative accuracy and enhanced detectability. In this work, a method for the iterative application of SFS-RR (iSFS-RR) was firstly developed and optimized in terms of convergence and input voxel size, and the corrected images were used for the diagnosis of 18 patients with refractory epilepsy. To this end, PET/MR images were clinically evaluated through visual inspection, atlas-based asymmetry indices (AIs) and SPM (Statistical Parametric Mapping) analysis, using uncorrected images and images corrected with SFS-RR and iSFS-RR. Our results showed that the sensitivity can be increased from 78% for uncorrected images, to 84% for SFS-RR and 94% for the proposed iSFS-RR. Thus, the proposed methodology has demonstrated the potential to improve the management of refractory epilepsy patients in the clinical routine.",

keywords = "Epilepsy, image processing, partial volume correction, PET-MR",

author = "J. Silva-Rodr{\'i}guez and J. Cort{\'e}s and X. Rodr{\'i}guez-Osorio and J. L{\'o}pez-Urdaneta and J. Pardo-Montero and P. Aguiar and C. Tsoumpas",

note = "Funding Information: This work was supported in part by public Fondo de Investigaciones Sanitarias (DTS14/00158), MINECO (2014/CSUN1/000004) and the EU COST Action TD1007 (www.pet-mri.eu). P. Aguiar was awarded a public fellowship from Xunta de Galicia (Xunta de Galicia POS-A/2013/001). J. Pardo-Montero acknowledges the support of Instituto de Salud Carlos III (Miguel Servet grant CP12/03162). Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

month = oct,

doi = "10.1109/TNS.2016.2527826",

language = "English",

volume = "63",

pages = "2434--2442",

journal = "IEEE Transactions on Nuclear Science",

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T1 - Iterative Structural and Functional Synergistic Resolution Recovery (iSFS-RR) Applied to PET-MR Images in Epilepsy

AU - Silva-Rodríguez, J.

AU - Cortés, J.

AU - Rodríguez-Osorio, X.

AU - López-Urdaneta, J.

AU - Pardo-Montero, J.

AU - Aguiar, P.

AU - Tsoumpas, C.

N1 - Funding Information: This work was supported in part by public Fondo de Investigaciones Sanitarias (DTS14/00158), MINECO (2014/CSUN1/000004) and the EU COST Action TD1007 (www.pet-mri.eu). P. Aguiar was awarded a public fellowship from Xunta de Galicia (Xunta de Galicia POS-A/2013/001). J. Pardo-Montero acknowledges the support of Instituto de Salud Carlos III (Miguel Servet grant CP12/03162). Publisher Copyright: © 2016 IEEE.

PY - 2016/10

Y1 - 2016/10

N2 - Structural Functional Synergistic Resolution Recovery (SFS-RR) is a technique that uses supplementary structural information from MR or CT to improve the spatial resolution of PET or SPECT images. This wavelet-based method may have a potential impact on the clinical decision-making of brain focal disorders such as refractory epilepsy, since it can produce images with better quantitative accuracy and enhanced detectability. In this work, a method for the iterative application of SFS-RR (iSFS-RR) was firstly developed and optimized in terms of convergence and input voxel size, and the corrected images were used for the diagnosis of 18 patients with refractory epilepsy. To this end, PET/MR images were clinically evaluated through visual inspection, atlas-based asymmetry indices (AIs) and SPM (Statistical Parametric Mapping) analysis, using uncorrected images and images corrected with SFS-RR and iSFS-RR. Our results showed that the sensitivity can be increased from 78% for uncorrected images, to 84% for SFS-RR and 94% for the proposed iSFS-RR. Thus, the proposed methodology has demonstrated the potential to improve the management of refractory epilepsy patients in the clinical routine.

AB - Structural Functional Synergistic Resolution Recovery (SFS-RR) is a technique that uses supplementary structural information from MR or CT to improve the spatial resolution of PET or SPECT images. This wavelet-based method may have a potential impact on the clinical decision-making of brain focal disorders such as refractory epilepsy, since it can produce images with better quantitative accuracy and enhanced detectability. In this work, a method for the iterative application of SFS-RR (iSFS-RR) was firstly developed and optimized in terms of convergence and input voxel size, and the corrected images were used for the diagnosis of 18 patients with refractory epilepsy. To this end, PET/MR images were clinically evaluated through visual inspection, atlas-based asymmetry indices (AIs) and SPM (Statistical Parametric Mapping) analysis, using uncorrected images and images corrected with SFS-RR and iSFS-RR. Our results showed that the sensitivity can be increased from 78% for uncorrected images, to 84% for SFS-RR and 94% for the proposed iSFS-RR. Thus, the proposed methodology has demonstrated the potential to improve the management of refractory epilepsy patients in the clinical routine.

KW - Epilepsy

KW - image processing

KW - partial volume correction

KW - PET-MR

U2 - 10.1109/TNS.2016.2527826

DO - 10.1109/TNS.2016.2527826

M3 - Article

AN - SCOPUS:84978218350

SN - 0018-9499

VL - 63

SP - 2434

EP - 2442

JO - IEEE Transactions on Nuclear Science

JF - IEEE Transactions on Nuclear Science

IS - 5

ER -

Iterative Structural and Functional Synergistic Resolution Recovery (iSFS-RR) Applied to PET-MR Images in Epilepsy

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