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Layer Thickness Evaluation Between Medical Imaging and Additive Manufacturing

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dc.contributor.authorAlmeida, Henrique A.
dc.contributor.authorVasco, Joel
dc.contributor.authorCorreia, Mário Simões
dc.contributor.authorRuben, Rui
dc.contributor.authorRuben, Rui
dc.date.accessioned2026-03-20T16:23:24Z
dc.date.available2026-03-20T16:23:24Z
dc.date.issued2019
dc.description.abstractAdditive manufacturing (AM) applied to the orthopaedic and surgical domains provided access to newer solutions for customised implants, customised scaffolds or even organ printing. These solutions are based on imagological data, gathered from CT-scans and/or MRI-scans. The compromise between patient’s radiation exposition and resolution along the focus direction plays an important role for the successful production of biological products. Scan detail can be increased with a thinner scanning thickness to obtain the required biological features for replication. On the other hand, a thinner scan thickness requires more scanning slices and therefore, higher exposition time to radiation. Literature shows that a maximum amount of radiation is admissible for humans, requiring an optimized approach concerning the acquisition of internal details of the human body tissues. State-of-the-art scans offer focus resolution in the range of 100 to 200 µm, although such resolution is not used for the patient’s protection. In fact, in clinical practice distance between slices are in the range of 1 to 6 mm. Concerning the AM processes that are able to use biocompatible materials, different layer thicknesses are available upon the final application in spite of the digital layer thickness that was applied during the medical imaging exam. The layer thickness during production also details the mechanical properties of the implant, with an additional aspect that the geometric data is based on information of a different layer thickness. This study intends to discuss the layer thickness used in medical imaging, the layer thickness used in AM systems providing public awareness of the operating gap between medical imaging systems and AM systems. A brief description of the accumulated errors is also presented.eng
dc.identifier.citationAlmeida, H.A., Vasco, J., Correia, M., Ruben, R. (2019). Layer Thickness Evaluation Between Medical Imaging and Additive Manufacturing. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2019. VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-32040-9_71
dc.identifier.doi10.1007/978-3-030-32040-9_71
dc.identifier.isbn9783030320393
dc.identifier.isbn9783030320409
dc.identifier.issn2212-9391
dc.identifier.issn2212-9413
dc.identifier.urihttp://hdl.handle.net/10400.8/15940
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer International Publishing
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-030-32040-9_71
dc.relation.ispartofLecture Notes in Computational Vision and Biomechanics
dc.relation.ispartofVipIMAGE 2019
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAdditive manufacturing
dc.subjectDigital fabrication
dc.subjectMedical imaging
dc.subjectCT-scan
dc.subjectMRI-scan
dc.titleLayer Thickness Evaluation Between Medical Imaging and Additive Manufacturingeng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage701
oaire.citation.startPage693
oaire.citation.titleVipIMAGE 2019
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlmeida
person.familyNameVasco
person.familyNameS. Correia
person.familyNameRuben
person.givenNameHenrique de Amorim
person.givenNameJoel
person.givenNameMário
person.givenNameRui
person.identifier46395
person.identifier1567112
person.identifier258763
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person.identifier.ciencia-idDF13-580C-D823
person.identifier.ciencia-id0A14-A279-7C05
person.identifier.orcid0000-0002-1367-2290
person.identifier.orcid0000-0001-8185-8145
person.identifier.orcid0000-0002-2176-6289
person.identifier.orcid0000-0002-5407-0579
person.identifier.ridD-6275-2012
person.identifier.ridO-2486-2015
person.identifier.ridM-1119-2014
person.identifier.scopus-author-id55938867800
person.identifier.scopus-author-id14055297700
person.identifier.scopus-author-id47961753600
person.identifier.scopus-author-id7103127401
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