Visual Enhancement of MR Angiography Images to Facilitate Planning of Arteriovenous Malformation Interventions

Author:

Abhari Kamyar1,Baxter John S. H.1,Khan Ali R.1,Peters Terry M.1,Ribaupierre Sandrine De1,Eagleson Roy1

Affiliation:

1. Robarts Research Institute, Western University, London, Ontario, Canada

Abstract

The primary purpose of medical image visualization is to improve patient outcomes by facilitating the inspection, analysis, and interpretation of patient data. This is only possible if the users’ perceptual and cognitive limitations are taken into account during every step of design, implementation, and evaluation of interactive displays. Visualization of medical images, if executed effectively and efficiently, can empower physicians to explore patient data rapidly and accurately with minimal cognitive effort. This article describes a specific case study in biomedical visualization system design and evaluation, which is the visualization of MR angiography images for planning arteriovenous malformation (AVM) interventions. The success of an AVM intervention greatly depends on the surgeon gaining a full understanding of the anatomy of the malformation and its surrounding structures. Accordingly, the purpose of this study was to investigate the usability of visualization modalities involving contour enhancement and stereopsis in the identification and localization of vascular structures using objective user studies. Our preliminary results indicate that contour enhancement, particularly when combined with stereopsis, results in improved performance enhancement of the perception of connectivity and relative depth between different structures.

Funder

Canadian Institutes for Health Research

NCE-Grand

Ontario Research and Development Challenge Fund

National Science and Engineering Research Council of Canada

Canadian Foundation for Innovation and Ontario Innovation Trust

government of Ontario

Western University

Publisher

Association for Computing Machinery (ACM)

Subject

Experimental and Cognitive Psychology,General Computer Science,Theoretical Computer Science

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2. Depth Perception Enhancement in 2D/3D Vascular Image Fusion;2021 5th International Conference on Digital Signal Processing;2021-02-26

3. Reevaluating Reconstruction Filters for Path-Searching Tasks in 3D;Computer Graphics Forum;2016-06-21

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