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

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