Ultrasound Image Dataset for Image Analysis Algorithms Evaluation

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dc.contributor.authorCortes, Camilo
dc.contributor.authorKabongo, Luis
dc.contributor.authorMacia, Ivan
dc.contributor.authorRuíz, Óscar E.
dc.contributor.authorFlorez, Julian
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería Mecánicaspa
dc.contributor.researchgroupLaboratorio CAD/CAM/CAEspa
dc.date.accessioned2016-11-30T15:20:54Z
dc.date.available2016-11-30T15:20:54Z
dc.date.issued2015
dc.description.abstractThe use of ultrasound (US) imaging as an alternative for real-time computer assisted interventions is increasing -- Growing usage of US occurs de-spite of US lower imaging quality compared to other techniques and its diffi-culty to be used with image analysis algorithms -- On the other hand, it is still difficult to find sufficient data to develop and assess solutions for navigation, registration and reconstruction at medical research level -- At present, manually acquired available datasets present significant usability obstacles due to their lack of control of acquisition conditions, which hinders the study and correction of algorithm design parameters -- To address these limitations, we present a data-base of robotically acquired sequences of US images from medical phantoms, ensuring the trajectory, pose and force control of the probe -- The acquired data-set is publicly available, and it is specially useful for designing and testing reg-istration and volume reconstruction algorithmseng
dc.formatapplication/pdfeng
dc.identifier.citation@inproceedings{INMED_Ultrasound_2015, title = {Ultrasound Image Dataset for Image Analysis Algorithms Evaluation}, author = {C. Cortes, L. Kabongo, I. Macia, O. E. Ruiz and J. Florez}, booktitle = {Proceedings of 3rd Intl. Conference Innovation in Medicine and Healthcare KES-INMED 2015}, month = {Sept. 11-12}, year = {2015}, address ={Kyoto, Japan} }spa
dc.identifier.doi10.1007%2F978-3-319-23024-5_41
dc.identifier.isbn978-3-319-23023-8
dc.identifier.urihttp://hdl.handle.net/10784/9783
dc.language.isoengspa
dc.publisherSpringer Verlag
dc.relation.ispartofInnovation in Medicine and Healthcare 2015, pp.447,457, 2015spa
dc.relation.ispartofseriesSmart Innovation, Systems and Technologiesspa
dc.relation.isversionofhttp://link.springer.com/chapter/10.1007%2F978-3-319-23024-5_41spa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccesseng
dc.rights.localAcceso cerradospa
dc.subject.keywordUltrasonics in medicineeng
dc.subject.keywordImaging systems in medicineeng
dc.subject.keywordDiagnostic imagingeng
dc.subject.keywordReal-time data processingeng
dc.subject.keywordAlgorithmseng
dc.subject.keywordProcedimientos quirúrgicos mínimamente invasivosspa
dc.subject.lembULTRASONIDO EN MEDICINAspa
dc.subject.lembSISTEMAS DE IMÁGENES EN MEDICINAspa
dc.subject.lembDIAGNÓSTICO POR IMÁGENESspa
dc.subject.lembPROCESAMIENTO DE DATOS EN TIEMPO REALspa
dc.subject.lembALGORITMOSspa
dc.titleUltrasound Image Dataset for Image Analysis Algorithms Evaluationeng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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