A New Method for 3D Thinning of Hybrid Shaped Porous Media Using Artificial Intelligence. Application to Trabecular Bone

Basit Öğe Kaydı
dc.contributor.authorJennane, Rachid
dc.contributor.authorAufort, Gabriel
dc.contributor.authorBenhamou, Claude Laurent
dc.contributor.authorCeylan, Murat
dc.contributor.authorOzbay, Yuksel
dc.contributor.authorUcan, Osman Nuri
dc.date.accessioned2020-03-26T18:23:33Z
dc.date.available2020-03-26T18:23:33Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractCurve and surface thinning are widely-used skeletonization techniques for modeling objects in three dimensions. In the case of disordered porous media analysis, however, neither is really efficient since the internal geometry of the object is usually composed of both rod and plate shapes. This paper presents an alternative to compute a hybrid shape-dependant skeleton and its application to porous media. The resulting skeleton combines 2D surfaces and 1D curves to represent respectively the plate-shaped and rod-shaped parts of the object. For this purpose, a new technique based on neural networks is proposed: cascade combinations of complex wavelet transform (CWT) and complex-valued artificial neural network (CVANN). The ability of the skeleton to characterize hybrid shaped porous media is demonstrated on a trabecular bone sample. Results show that the proposed method achieves high accuracy rates about 99.78%-99.97%. Especially, CWT (2nd level)-CVANN structure converges to optimum results as high accuracy rate-minimum time consumption.en_US
dc.identifier.doi10.1007/s10916-010-9495-yen_US
dc.identifier.endpage510en_US
dc.identifier.issn0148-5598en_US
dc.identifier.issue2en_US
dc.identifier.pmid20703700en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage497en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10916-010-9495-y
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27677
dc.identifier.volume36en_US
dc.identifier.wosWOS:000303825500016en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofJOURNAL OF MEDICAL SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectComplex wavelet transformen_US
dc.subjectComplex-valued artificial neural networken_US
dc.subjectSkeletonizationen_US
dc.subject3D thinningen_US
dc.titleA New Method for 3D Thinning of Hybrid Shaped Porous Media Using Artificial Intelligence. Application to Trabecular Boneen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu