Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31984
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dc.contributor.advisorDendale, Paul-
dc.contributor.advisorVolders, Paul-
dc.contributor.advisorPeeters, Ralf-
dc.contributor.authorSTOKS, Job-
dc.contributor.authorNguyen, Uyen-
dc.contributor.authorPeeters, Ralf-
dc.contributor.authorVolders, Paul-
dc.contributor.authorCluitmans, Matthijs-
dc.date.accessioned2020-09-28T11:16:16Z-
dc.date.available2020-09-28T11:16:16Z-
dc.date.issued2020-
dc.date.submitted2020-09-27T13:08:15Z-
dc.identifier.citation2020 Computing in Cardiology, IEEE-
dc.identifier.isbn9781728173825-
dc.identifier.issn2325-8861-
dc.identifier.urihttp://hdl.handle.net/1942/31984-
dc.description.abstractStandardized visualization of electro- or mechanoanatomical data allows easy inter- and intra-patient comparison. For this purpose, we developed the opensource and freely available UNISYS (Universal Ventricular Bullseye Visualization) software. A patientspecific mesh of the ventricular anatomy typically consists of a certain number of vertices and their associated values. Based on a limited amount of user inputs, the algorithm transforms these 3D single-layer coordinates to a circular 2D disk (‘bullseye’) through a number of translations and rotations, and interpolates them to achieve a continuous standardized visualization. The algorithm shows a high degree of bidirectionality and a robust spatial preservation of points of interest.-
dc.description.sponsorshipThe authors would like to thank Mark Potse en Francesco Maffessanti for their ideas and technical support in the early stages of developing the current method.-
dc.language.isoen-
dc.publisherIEEE-
dc.relation.ispartofseriesComputing in Cardiology Conference-
dc.titleAn Open-Source Algorithm for Standardized Bullseye Visualization of High-Resolution Cardiac Ventricular Data: UNISYS-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate2020, September 13-16-
local.bibliographicCitation.conferencenameComputing in Cardiology Conference (CinC)-
local.bibliographicCitation.conferenceplaceRimini, Italy-
dc.identifier.volume47-
local.format.pages4-
local.bibliographicCitation.jcatC1-
local.publisher.place345 E 47TH ST, NEW YORK, NY 10017 USA-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.22489/CinC.2020.160-
dc.identifier.isiWOS:000657257000101-
dc.identifier.urlhttps://www.cinc.org/2020/Program/accepted/160_CinCFinalPDF.pdf-
dc.identifier.eissn2325-887X-
local.provider.typePdf-
local.bibliographicCitation.btitle2020 Computing in Cardiology-
local.uhasselt.uhpubyes-
local.uhasselt.internationalyes-
item.contributorSTOKS, Job-
item.contributorNguyen, Uyen-
item.contributorPeeters, Ralf-
item.contributorVolders, Paul-
item.contributorCluitmans, Matthijs-
item.fullcitationSTOKS, Job; Nguyen, Uyen; Peeters, Ralf; Volders, Paul & Cluitmans, Matthijs (2020) An Open-Source Algorithm for Standardized Bullseye Visualization of High-Resolution Cardiac Ventricular Data: UNISYS. In: 2020 Computing in Cardiology, IEEE.-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.validationecoom 2022-
Appears in Collections:Research publications
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