Patient-specific hip prostheses designed by surgeons

dc.accessRightsAnonymous
dc.audienceScience
dc.contributor.authorCoigny, Florian
dc.contributor.authorTodor, Adrian
dc.contributor.authorRotaru, Horatiu
dc.contributor.authorSchumacher, Ralf
dc.contributor.authorSchkommodau, Erik
dc.date.accessioned2017-01-23T06:51:03Z
dc.date.available2017-12-18T12:17:27Z
dc.date.issued2016-09-30
dc.description.abstractPatient-specific bone and joint replacement implants lead to better functional and aesthetic results than conventional methods [1], [2], [3]. But extracting 3D shape information from CT Data and designing individual implants is demanding and requires multiple surgeon-to-engineer interactions. For manufacturing purposes, Additive Manufacturing offers various advantages, especially for low volume manufacturing parts, such as patient specific implants. To ease these new approaches and to avoid surgeon-to-engineer interactions a new design software approach is needed which offers highly automated and user friendly planning steps.
dc.identifier.doi10.1515/cdbme-2016-0163
dc.identifier.issn2364-5504
dc.identifier.urihttp://hdl.handle.net/11654/24047
dc.issue1
dc.language.isoen
dc.publisherDe Gruyteren_US
dc.relation.ispartofCurrent Directions in Biomedical Engineeringen_US
dc.subjectbone
dc.subjectdesign
dc.subject3d-printing
dc.subjectimplant
dc.subjectpatient-specific
dc.subjectsoftware
dc.titlePatient-specific hip prostheses designed by surgeons
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dc.volume2
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.IsStudentsWorkno
fhnw.PublishedSwitzerlandNo
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Life Sciencesde_CH
fhnw.affiliation.institutInstitut für Medizintechnik und Medizininformatikde_CH
fhnw.pagination565-567
fhnw.publicationOnlineJa
fhnw.publicationStatePublished
relation.isAuthorOfPublicationfb24e18b-6544-4d6d-bf82-93eb159155b7
relation.isAuthorOfPublicationdc969cae-4775-4db5-a3c7-f4e32a96f1f2
relation.isAuthorOfPublication.latestForDiscoveryfb24e18b-6544-4d6d-bf82-93eb159155b7
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