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dc.contributor.authorMerten, Nicoen_US
dc.contributor.authorGlaßer, Sylviaen_US
dc.contributor.authorLassen-Schmidt, Biancaen_US
dc.contributor.authorGroßer, Oliver Stephanen_US
dc.contributor.authorRicke, Jensen_US
dc.contributor.authorAmthauer, Holgeren_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.editorStefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervolden_US
dc.date.accessioned2016-09-07T05:37:49Z
dc.date.available2016-09-07T05:37:49Z
dc.date.issued2016
dc.identifier.isbn978-3-03868-010-9
dc.identifier.issn2070-5786
dc.identifier.urihttp://dx.doi.org/10.2312/vcbm.20161276
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20161276
dc.description.abstractWe present an illustrative rendering pipeline which combines anatomical information from CT scans with functional information from PET scans. To treat lung metastases with Selective Internal Radiation Therapies (SIRTs), combined PET/CT recordings are used for treatment planning and intervention validation. We firstly extract surface meshes from the lung lobes and trachea from the CT scan. In addition, the radiation activity of the therapeutic agent 90Y is acquired from the PET data. To convey all this information in one view, we use illustrative rendering techniques, combining Order-Independent Transparencies with Boundary Enhancements and Silhouettes. Our methods are evaluated by clinical and visualisation domain experts. This study indicates an excellent spatial perception and evaluation of tumor position, metabolic and therapeutic agent activity, when transparencies and boundary enhancements are used to render the surrounding lung lobes.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.subjectI.3.8 [Computer Graphics]
dc.subject
dc.subjectApplications
dc.titleIllustrative PET/CT Visualisation of SIRT-Treated Lung Metastasesen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.description.sectionheadersMedical Data Analysis and Visualization (Short Papers)
dc.identifier.doi10.2312/vcbm.20161276
dc.identifier.pages99-103


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