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Improving the process of making rapid prototyping models from medical ultrasound images

2012-06-08Artigo científico Acesso restrito
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datacite.subject.fosCiências Médicas::Outras Ciências Médicas
datacite.subject.fosEngenharia e Tecnologia::Engenharia dos Materiais
datacite.subject.fosEngenharia e Tecnologia::Engenharia Médica
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorVaezi, Mohammad
dc.contributor.authorChua, Chee Kai
dc.contributor.authorChou, Siaw Meng
dc.date.accessioned2026-02-16T15:37:27Z
dc.date.available2026-02-16T15:37:27Z
dc.date.issued2012-06-08
dc.description.abstractPurpose – Today, medical models can be made by the use of medical imaging systems through modern image processing methods and rapid prototyping (RP) technology. In ultrasound imaging systems, as images are not layered and are of lower quality as compared to those of computerized tomography (CT) and magnetic resonance imaging (MRI), the process for making physical models requires a series of intermediate processes and it is a challenge to fabricate a model using ultrasound images due to the inherent limitations of the ultrasound imaging process. The purpose of this paper is to make high quality, physical models from medical ultrasound images by combining modern image processing methods and RP technology. Design/methodology/approach – A novel and effective semi-automatic method was developed to improve the quality of 2D image segmentation process. In this new method, a partial histogram of 2D images was used and ideal boundaries were obtained. A 3D model was achieved using the exact boundaries and then the 3D model was converted into the stereolithography (STL) format, suitable for RP fabrication. As a case study, the foetus was chosen for this application since ultrasonic imaging is commonly used for foetus imaging so as not to harm the baby. Finally, the 3D Printing (3DP) and PolyJet processes, two types of RP technique, were used to fabricate the 3D physical models. Findings – The physical models made in this way proved to have sufficient quality and shortened the process time considerably. Originality/value – It is still a challenge to fabricate an exact physical model using ultrasound images. Current commercial histogram-based segmentation method is time-consuming and results in a less than optimum 3D model quality. In this research work, a novel and effective semi-automatic method was developed to select the threshold optimum value easily.eng
dc.identifier.citationVaezi M, Kai Chua C, Meng Chou S (2012), "Improving the process of making rapid prototyping models from medical ultrasound images". Rapid Prototyping Journal, Vol. 18 No. 4 pp. 287–298, doi: https://doi.org/10.1108/13552541211231716
dc.identifier.doi10.1108/13552541211231716
dc.identifier.issn1355-2546
dc.identifier.urihttp://hdl.handle.net/10400.8/15651
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEmerald
dc.relation.hasversionhttps://www.emerald.com/rpj/article-abstract/18/4/287/371999/Improving-the-process-of-making-rapid-prototyping?redirectedFrom=fulltext
dc.relation.ispartofRapid Prototyping Journal
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectRapid prototypes
dc.subjectImage processing
dc.subject3D printing
dc.subjectUltrasound imaging
dc.subjectFoetus model
dc.titleImproving the process of making rapid prototyping models from medical ultrasound imageseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage298
oaire.citation.issue4
oaire.citation.startPage287
oaire.citation.titleRapid Prototyping Journal
oaire.citation.volume18
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.affiliation.nameCDRSP
person.familyNameChua
person.givenNameChee Kai
person.identifier.orcid0000-0003-4536-6199
person.identifier.scopus-author-id57203930410
relation.isAuthorOfPublication972e5a1e-e720-4d37-9c77-a271229cc790
relation.isAuthorOfPublication.latestForDiscovery972e5a1e-e720-4d37-9c77-a271229cc790

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