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Mesial temporal lobe epilepsy lateralization using SPHARM-based features of hippocampus and SVM

dc.contributor.authorEsmaeilzadeh, Mohammad
dc.contributor.authorSoltanian-Zadeh, Hamid
dc.contributor.authorJafari-Khouzani, Kourosh
dc.coverage.spatialSan Diego USA
dc.date.accessioned2015-12-10T23:32:42Z
dc.date.createdFebruary 6-9 2012
dc.date.issued2012
dc.date.updated2016-02-24T08:51:32Z
dc.description.abstractThis paper improves the Lateralization (identification of the epileptogenic hippocampus) accuracy in Mesial Temporal Lobe Epilepsy (mTLE). In patients with this kind of epilepsy, usually one of the brain's hippocampi is the focus of the epileptic seizures, and resection of the seizure focus is the ultimate treatment to control or reduce the seizures. Moreover, the epileptogenic hippocampus is prone to shrinkage and deformation; therefore, shape analysis of the hippocampus is advantageous in the preoperative assessment for the Lateralization. The method utilized for shape analysis is the Spherical Harmonics (SPHARM). In this method, the shape of interest is decomposed using a set of bases functions and the obtained coefficients of expansion are the features describing the shape. To perform shape comparison and analysis, some pre- and post-processing steps such as "alignment of different subjects' hippocampi" and the "reduction of feature-space dimension" are required. To this end, first order ellipsoid is used for alignment. For dimension reduction, we propose to keep only the SPHARM coefficients with maximum conformity to the hippocampus shape. Then, using these coefficients of normal and epileptic subjects along with 3D invariants, specific lateralization indices are proposed. Consequently, the 1536 SPHARM coefficients of each subject are summarized into 3 indices, where for each index the negative (positive) value shows that the left (right) hippocampus is deformed (diseased). Employing these indices, the best achieved lateralization accuracy for clustering and classification algorithms are 85% and 92%, respectively. This is a significant improvement compared to the conventional volumetric method.
dc.identifier.isbn9780819489630
dc.identifier.urihttp://hdl.handle.net/1885/68954
dc.publisherSPIE - The International Society for Optical Engineering
dc.relation.ispartofseriesMedical Imaging 2012: Image Processing
dc.rightsAuthor/s retain copyrighten_AU
dc.sourceProgress in Biomedical Optics and Imaging - Proceedings of SPIE
dc.subjectKeywords: 3D Representation and registration; Lateralization; Shape analysis; Spherical harmonics; Temporal lobe epilepsy; Alignment; Clustering algorithms; Harmonic analysis; Image processing; Medical imaging; Patient treatment; Support vector machines; Three dime 3D Representation and registration; Hippocampus shape analysis; Mesial temporal lobe epilepsy (mTLE); MTLE lateralization; Spherical Harmonics (SPHARM); Support Vector Machine (SVM)
dc.titleMesial temporal lobe epilepsy lateralization using SPHARM-based features of hippocampus and SVM
dc.typeConference paper
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage10
local.bibliographicCitation.startpage1
local.contributor.affiliationEsmaeilzadeh, Mohammad, College of Engineering and Computer Science, ANU
local.contributor.affiliationSoltanian-Zadeh, Hamid, University of Tehran
local.contributor.affiliationJafari-Khouzani, Kourosh, Henry Ford Hospital
local.contributor.authoruidEsmaeilzadeh, Mohammad, u4938484
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080106 - Image Processing
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.absseo920203 - Diagnostic Methods
local.identifier.ariespublicationf5625xPUB1877
local.identifier.doi10.1117/12.911740
local.identifier.scopusID2-s2.0-84860740743
local.identifier.thomsonID000304820000157
local.type.statusPublished Version

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