Title
Feature emphasis and contextual cutaways for multimodal medical visualization
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.
Year
DOI
Venue
2007
10.2312/VisSym/EuroVis07/275-282
EuroVis
Keywords
Field
DocType
rich pre-operative,embedded data,real-time image,tracked ultrasound image,clinical context,spatial relation,feature emphasis,real-time imaging,contextual cutaway,dense clinical data,multimodal medical visualization,ultrasound image,sufficient spatial perception
Spatial relation,Computer vision,Computer graphics (images),Visualization,Computer science,Spatial perception,Artificial intelligence,Computed tomography,Ultrasound image
Conference
Citations 
PageRank 
References 
30
1.42
15
Authors
5
Name
Order
Citations
PageRank
Michael Burns1301.42
Martin Haidacher2713.16
Wolfgang Wein346138.75
Ivan Viola466042.16
M. Eduard Gröller556138.47