Towards Clinical Deployment of Automated Anatomical Regions-Of-Interest

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dc.contributor.authorLindholm, Stefanen_US
dc.contributor.authorForsberg, Danielen_US
dc.contributor.authorYnnerman, Andersen_US
dc.contributor.authorKnutsson, Hansen_US
dc.contributor.authorAndersson, Matsen_US
dc.contributor.authorLundström, Claesen_US
dc.contributor.editorIvan Viola and Katja Buehler and Timo Ropinskien_US
dc.date.accessioned2014-12-16T07:37:15Z
dc.date.available2014-12-16T07:37:15Z
dc.date.issued2014en_US
dc.description.abstractThe purpose of this work is to investigate, and improve, the feasibility of advanced Region Of Interest (ROI) selection schemes in clinical volume rendering. In particular, this work implements and evaluates an Automated Anatomical ROI (AA-ROI) approach based on the combination of automatic image registration (AIR) and Distance- Based Transfer Functions (DBTFs), designed for automatic selection of complex anatomical shapes without relying on prohibitive amounts of interaction. Domain knowledge and clinical experience has been included in the project through participation of practicing radiologists in all phases of the project. This has resulted in a set of requirements that are critical for Direct Volume Rendering applications to be utilized in clinical practice and a prototype AA-ROI implementation that was developed to addresses critical points in existing solutions. The feasibility of the developed approach was assessed through a study where five radiologists investigated three medical data sets with complex ROIs, using both traditional tools and the developed prototype software. Our analysis indicate that advanced, registration based ROI schemes could increase clinical efficiency in time-critical settings for cases with complex ROIs, but also that their clinical feasibility is conditional with respect to the radiologists trust in the registration process and its application to the data.en_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.isbn978-3-905674-62-0en_US
dc.identifier.issn2070-5778en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20141199en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/vcbm.20141199.137-143
dc.publisherThe Eurographics Associationen_US
dc.subjectComputer Graphics [I.3.6]en_US
dc.subjectMethodology and Techniquesen_US
dc.subjectComputer Graphics [I.3.7]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectComputer Graphics [I.3.8]en_US
dc.subjectApplicationsen_US
dc.titleTowards Clinical Deployment of Automated Anatomical Regions-Of-Interesten_US
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VCBM 14: Eurographics Workshop on Visual Computing for Biology and Medicine