FocusDET, a new toolbox for SISCOM analysis. Evaluation of the registration accuracy using Monte Carlo simulation

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• dc.contributor.author Martí Fuster, Berta
• dc.contributor.author Esteban, Oscar
• dc.contributor.author Planes, Xavier
• dc.contributor.author Aguiar, Pablo
• dc.contributor.author Crespo, Cristina
• dc.contributor.author Falcon, Carles
• dc.contributor.author Wollny, Gert
• dc.contributor.author Rubí Sureda, Sebastià
• dc.contributor.author Setoain Perego, Xavier
• dc.contributor.author Frangi Caregnato, Alejandro
• dc.contributor.author Ledesma-Carbayo, María J.
• dc.contributor.author Santos, Andrés
• dc.contributor.author Pavía Segura, Javier
• dc.contributor.author Ros, Domènec
• dc.date.accessioned 2024-01-16T07:00:26Z
• dc.date.available 2024-01-16T07:00:26Z
• dc.date.issued 2013
• dc.description.abstract 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.
• dc.description.sponsorship This work was supported in part by Virtual Physiological Human Toolkit (VPHTk) project of Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), by Talència’s grants 2009SGR-00866 and 2009SGR-1049, by Ministerio de Ciencia e Innovación (SAF2009-08076), by the European Commission VPH Network of Excellence (IST-2007-223920) and by Spain’s Ministry of Science & Innovation through CDTI-CENIT (AMIT project) and project TEC2010-21619-C04-03; Comunidad de Madrid (ARTEMIS S2009/DPI-1802), and the European Regional Development Funds (FEDER). B. Martí was awarded a PhD fellowship (App Form—Call 07-2009) of Institute for Bioengineering of Catalonia (IBEC). A.F. Frangi holds an ICREA-Academia Award from the Institució Catalana de Recerca I Estudis Avançats (ICREA).
• dc.format.mimetype application/pdf
• dc.identifier.citation Martí B, Esteban O, Planes X, Aguiar P, Crespo C, Falcon C, et al. FocusDET, a new toolbox for SISCOM analysis. Evaluation of the registration accuracy using Monte Carlo simulation. Neuroinform. 2013 Jan;11(1):77-89. DOI: 10.1007/s12021-012-9158-x
• dc.identifier.doi http://dx.doi.org/10.1007/s12021-012-9158-x
• dc.identifier.issn 1539-2791
• dc.identifier.uri http://hdl.handle.net/10230/58710
• dc.language.iso eng
• dc.publisher Springer
• dc.relation.ispartof Neuroinformatics. 2013 Jan;11(1):77-89
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/223920
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SAF2009-08076
• dc.rights This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/2.0
• dc.subject.keyword Epilepsy
• dc.subject.keyword SISCOM
• dc.subject.keyword Monte Carlo simulation
• dc.subject.keyword Reconstruction algorithms
• dc.subject.keyword Registration assessment
• dc.title FocusDET, a new toolbox for SISCOM analysis. Evaluation of the registration accuracy using Monte Carlo simulation
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion