Presentation + Paper
29 March 2024 3D echocardiogram visualization: a new method based on focus + context
Author Affiliations +
Abstract
3D echocardiography (3DE) is the standard modality for visualizing heart valves and their surrounding anatomical structures. Commercial cardiovascular ultrasound systems commonly offer a set of parameters that allow clinical users to modify, in real time, visual aspects of the information contained in the echocardiogram. To our knowledge, there is currently no work that demonstrates if the methods currently used by commercial platforms are optimal. In addition, current platforms have limitations in adjusting the visibility of anatomical structures, such as reducing information that obstructs anatomical structures without removing essential clinical information. To overcome this, the present work proposes a new method for 3DE visualization based on “focus + context” (F+C), a concept which aims to present a detailed region of interest while preserving a less detailed overview of the surrounding context. The new method is intended to allow clinical users to modify parameter values differently within a certain region of interest, independently from the adjustment of contextual information. To validate this new method, a user study was conducted amongst clinical experts. As part of the user study, clinical experts adjusted parameters for five echocardiograms of patients with complete atrioventricular canal defect (CAVC) using both the method conventionally used by commercial platforms and the proposed method based on F+C. The results showed relevance for the F+C-based method to visualize 3DE of CAVC patients, where users chose significantly different parameter values with the F+C-based method.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Samuelle St-Onge, Silvani Amin, Alana Cianciulli, Matthew A. Jolley, and Simon Drouin "3D echocardiogram visualization: a new method based on focus + context", Proc. SPIE 12929, Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment, 129290T (29 March 2024); https://doi.org/10.1117/12.3006214
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KEYWORDS
Visualization

Anatomy

Volume rendering

Opacity

Heart

Voxels

Optical transfer functions

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