Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/31984
Title: | An Open-Source Algorithm for Standardized Bullseye Visualization of High-Resolution Cardiac Ventricular Data: UNISYS | Authors: | STOKS, Job Nguyen, Uyen Peeters, Ralf Volders, Paul Cluitmans, Matthijs |
Advisors: | Dendale, Paul Volders, Paul Peeters, Ralf |
Issue Date: | 2020 | Publisher: | IEEE | Source: | Computing in Cardiology, 47 | Abstract: | Standardized 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. | Document URI: | http://hdl.handle.net/1942/31984 | Link to publication/dataset: | https://www.cinc.org/2020/Program/accepted/160_CinCFinalPDF.pdf | ISBN: | 9781728173825 | DOI: | 10.22489/CinC.2020.160 | ISI #: | WOS:000657257000101 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
Files in This Item:
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09344209.pdf | Published version | 2.3 MB | Adobe PDF | View/Open |
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