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FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation

Subtraction of Ictal SPECT Co-registered to MRI (SISCOM) is an imaging technique used to localize the epileptogenic focus in patients with intractable partial epilepsy. The aim of this study was to determine the accuracy of registration algorithms involved in SISCOM analysis using FocusDET, a new us...

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Autores principales: Martí Fuster, Berta, Esteban, Oscar, Planes, Xavier, Aguiar, Pablo, Crespo, Cristina, Falcon, Carles, Wollny, Gert, Rubí Sureda, Sebastià, Setoain, Xavier, Frangi, Alejandro F., Ledesma, Maria J., Santos, Andrés, Pavía, Javier, Ros, Domènec
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538012/
https://www.ncbi.nlm.nih.gov/pubmed/22903439
http://dx.doi.org/10.1007/s12021-012-9158-x
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author Martí Fuster, Berta
Esteban, Oscar
Planes, Xavier
Aguiar, Pablo
Crespo, Cristina
Falcon, Carles
Wollny, Gert
Rubí Sureda, Sebastià
Setoain, Xavier
Frangi, Alejandro F.
Ledesma, Maria J.
Santos, Andrés
Pavía, Javier
Ros, Domènec
author_facet Martí Fuster, Berta
Esteban, Oscar
Planes, Xavier
Aguiar, Pablo
Crespo, Cristina
Falcon, Carles
Wollny, Gert
Rubí Sureda, Sebastià
Setoain, Xavier
Frangi, Alejandro F.
Ledesma, Maria J.
Santos, Andrés
Pavía, Javier
Ros, Domènec
author_sort Martí Fuster, Berta
collection PubMed
description Subtraction of Ictal SPECT Co-registered to MRI (SISCOM) is an imaging technique used to localize the epileptogenic focus in patients with intractable partial epilepsy. The aim of this study was to determine the accuracy of registration algorithms involved in SISCOM analysis using FocusDET, a new user-friendly application. To this end, Monte Carlo simulation was employed to generate realistic SPECT studies. Simulated sinograms were reconstructed by using the Filtered BackProjection (FBP) algorithm and an Ordered Subsets Expectation Maximization (OSEM) reconstruction method that included compensation for all degradations. Registration errors in SPECT-SPECT and SPECT-MRI registration were evaluated by comparing the theoretical and actual transforms. Patient studies with well-localized epilepsy were also included in the registration assessment. Global registration errors including SPECT-SPECT and SPECT-MRI registration errors were less than 1.2 mm on average, exceeding the voxel size (3.32 mm) of SPECT studies in no case. Although images reconstructed using OSEM led to lower registration errors than images reconstructed with FBP, differences after using OSEM or FBP in reconstruction were less than 0.2 mm on average. This indicates that correction for degradations does not play a major role in the SISCOM process, thereby facilitating the application of the methodology in centers where OSEM is not implemented with correction of all degradations. These findings together with those obtained by clinicians from patients via MRI, interictal and ictal SPECT and video-EEG, show that FocusDET is a robust application for performing SISCOM analysis in clinical practice.
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spelling pubmed-35380122013-01-09 FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation Martí Fuster, Berta Esteban, Oscar Planes, Xavier Aguiar, Pablo Crespo, Cristina Falcon, Carles Wollny, Gert Rubí Sureda, Sebastià Setoain, Xavier Frangi, Alejandro F. Ledesma, Maria J. Santos, Andrés Pavía, Javier Ros, Domènec Neuroinformatics Original Article Subtraction of Ictal SPECT Co-registered to MRI (SISCOM) is an imaging technique used to localize the epileptogenic focus in patients with intractable partial epilepsy. The aim of this study was to determine the accuracy of registration algorithms involved in SISCOM analysis using FocusDET, a new user-friendly application. To this end, Monte Carlo simulation was employed to generate realistic SPECT studies. Simulated sinograms were reconstructed by using the Filtered BackProjection (FBP) algorithm and an Ordered Subsets Expectation Maximization (OSEM) reconstruction method that included compensation for all degradations. Registration errors in SPECT-SPECT and SPECT-MRI registration were evaluated by comparing the theoretical and actual transforms. Patient studies with well-localized epilepsy were also included in the registration assessment. Global registration errors including SPECT-SPECT and SPECT-MRI registration errors were less than 1.2 mm on average, exceeding the voxel size (3.32 mm) of SPECT studies in no case. Although images reconstructed using OSEM led to lower registration errors than images reconstructed with FBP, differences after using OSEM or FBP in reconstruction were less than 0.2 mm on average. This indicates that correction for degradations does not play a major role in the SISCOM process, thereby facilitating the application of the methodology in centers where OSEM is not implemented with correction of all degradations. These findings together with those obtained by clinicians from patients via MRI, interictal and ictal SPECT and video-EEG, show that FocusDET is a robust application for performing SISCOM analysis in clinical practice. Springer-Verlag 2012-08-19 2013-01 /pmc/articles/PMC3538012/ /pubmed/22903439 http://dx.doi.org/10.1007/s12021-012-9158-x Text en © Springer Science+Business Media, LLC 2012
spellingShingle Original Article
Martí Fuster, Berta
Esteban, Oscar
Planes, Xavier
Aguiar, Pablo
Crespo, Cristina
Falcon, Carles
Wollny, Gert
Rubí Sureda, Sebastià
Setoain, Xavier
Frangi, Alejandro F.
Ledesma, Maria J.
Santos, Andrés
Pavía, Javier
Ros, Domènec
FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation
title FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation
title_full FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation
title_fullStr FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation
title_full_unstemmed FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation
title_short FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation
title_sort focusdet, a new toolbox for siscom analysis. evaluation of the registration accuracy using monte carlo simulation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538012/
https://www.ncbi.nlm.nih.gov/pubmed/22903439
http://dx.doi.org/10.1007/s12021-012-9158-x
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