Visualizing Cardiovascular Magnetic resonance CMR imagery: challenges and opportunitiesReportar como inadecuado

Visualizing Cardiovascular Magnetic resonance CMR imagery: challenges and opportunities - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Reference: Walton, S, Berger, K, Thiyagalingam, J et al., (2014). Visualizing Cardiovascular Magnetic resonance (CMR) imagery: challenges and opportunities. Progress in biophysics and molecular biology, 115 (2-3), 349-358.Citable link to this page:


Visualizing Cardiovascular Magnetic resonance (CMR) imagery: challenges and opportunities

Abstract: Cardiovascular Magnetic Resonance (CMR) imaging is an essential technique for measuring regional myocardial function. However, it is a time-consuming and cognitively demanding task to interpret, identify and compare various motion characteristics based on watching CMR imagery. In this work, we focus on the problems of visualising imagery resulting from 2D myocardial tagging in CMR. In particular we provide an overview of the current state of the art of relevant visualization techniques, and a discussion on why the problem is difficult from a perceptual perspective. Finally, we introduce a proof-of-concept multilayered visualization user interface for visualizing CMR data using multiple derived attributes encoded into multivariate glyphs. An initial evaluation of the system by clinicians suggested a great potential for this visualisation technology to become a clinical practice in the future.

Peer Review status:Peer reviewedPublication status:PublishedVersion:Accepted ManuscriptNotes:Copyright © 2014 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license

Bibliographic Details

Publisher: Elsevier

Publisher Website:

Journal: Progress in biophysics and molecular biologysee more from them

Publication Website:

Issue Date: 2014-08


Urn: uuid:604ad716-dc8b-437e-9937-bd2d5d88f3b9

Source identifier: 478939

Eissn: 1873-1732


Issn: 0079-6107 Item Description

Type: Journal article;

Language: eng

Version: Accepted ManuscriptKeywords: Heart Animals Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Magnetic Resonance Imaging, Cine Subtraction Technique Sensitivity and Specificity Reproducibility of Results Myocardial Contraction Signal Processing, Computer-Assisted User-Computer Interface Spatio-Temporal Analysis Tiny URL: pubs:478939


Autor: Walton, S - - - Berger, K - - - Thiyagalingam, J - - - Duffy, B - - - Fang, H - - - Holloway, C - - - Trefethen, AE - institution



Documentos relacionados