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dc.contributor.authorAvtan, Levent
dc.contributor.authorDuzgun, Oktay
dc.contributor.authorSamur, Evren
dc.contributor.authorSedef, Mert
dc.contributor.authorBasdogan, Cagatay
dc.date.accessioned2021-03-05T12:42:18Z
dc.date.available2021-03-05T12:42:18Z
dc.date.issued2007
dc.identifier.citationSamur E., Sedef M., Basdogan C., Avtan L., Duzgun O., "A robotic indenter for minimally invasive measurement and characterization of soft tissue response", MEDICAL IMAGE ANALYSIS, cilt.11, ss.361-373, 2007
dc.identifier.issn1361-8415
dc.identifier.otherav_ae76b157-d96d-480c-9c89-9ca6053d4a2f
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/116394
dc.identifier.urihttps://doi.org/10.1016/j.media.2007.04.001
dc.description.abstractThe lack of experimental data in current literature on material properties of soft tissues in living condition has been a significant obstacle in the development of realistic soft tissue models for virtual reality based surgical simulators used in medical training. A robotic indenter was developed for minimally invasive measurement of soft tissue properties in abdominal region during a laparoscopic surgery. Using the robotic indenter, force versus displacement and force versus time responses of pig liver under static and dynamic loading conditions were successfully measured to characterize its material properties in three consecutive steps. First, the effective elastic modulus of pig liver was estimated as 10-15 kPa from the force versus displacement data of static indentations based on the small deformation assumption. Then, the stress relaxation function, relating the variation of stress with respect to time, was determined from the force versus time response data via curve fitting. Finally, an inverse finite element solution was developed using ANSYS finite element package to estimate the optimum values of viscoelastic and nonlinear hyperelastic material properties of pig liver through iterations. The initial estimates of the material properties for the iterations were extracted from the experimental data for faster convergence of the solutions. (c) 2007 Elsevier B.V. All rights reserved.
dc.language.isoeng
dc.subjectKlinik Tıp (MED)
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectDahili Tıp Bilimleri
dc.subjectNükleer Tıp
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectBilgisayar Grafiği
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectRADYOLOJİ, NÜKLEER TIP ve MEDİKAL GÖRÜNTÜLEME
dc.subjectKlinik Tıp
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.titleA robotic indenter for minimally invasive measurement and characterization of soft tissue response
dc.typeMakale
dc.relation.journalMEDICAL IMAGE ANALYSIS
dc.contributor.department, ,
dc.identifier.volume11
dc.identifier.issue4
dc.identifier.startpage361
dc.identifier.endpage373
dc.contributor.firstauthorID183769


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