Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization

Burns, Michael; Haidacher, Martin; Wein, Wolfgang; Viola, Ivan; Groeller, Eduard

Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization

Files

275-282.pdf (494.14 KB)

Date

2007

Authors

Burns, Michael
Haidacher, Martin
Wein, Wolfgang
Viola, Ivan
Groeller, Eduard

Publisher

The Eurographics Association

Abstract

Dense clinical data like 3D Computed Tomography (CT) scans can be visualized together with real-time imaging for a number of medical intervention applications. However, it is difficult to provide a fused visualization that allows sufficient spatial perception of the anatomy of interest, as derived from the rich pre-operative scan, while not occluding the real-time image displayed embedded within the volume. We propose an importance-driven approach that presents the embedded data such that it is clearly visible along with its spatial relation to the surrounding volumetric material. To support this, we present and integrate novel techniques for importance specification, feature emphasis, and contextual cutaway generation. We show results in a clinical context where a pre-operative CT scan is visualized alongside a tracked ultrasound image, such that the important vasculature is depicted between the viewpoint and the ultrasound image, while a more opaque representation of the anatomy is exposed in the surrounding area.

        @inproceedings{:10.2312/VisSym/EuroVis07/275-282
,
booktitle = {Eurographics/ IEEE-VGTC Symposium on Visualization
},
editor = {K. Museth and T. Moeller and A. Ynnerman
},
title = {{Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization
}},
author = {Burns, Michael and 
Haidacher, Martin and 
Wein, Wolfgang and 
Viola, Ivan and 
Groeller, Eduard
},
year = {2007
},
publisher = {The Eurographics Association
},
ISSN = {1727-5296
},
ISBN = {978-3-905673-45-6
},
DOI = {/10.2312/VisSym/EuroVis07/275-282
}
}