Publications

Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization

M. Burns, M. Haidacher, W. Wein, I. Viola, and M. E. Gröller

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 thatallows 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 amore opaque representation of the anatomy is exposed in the surrounding area.

M. Burns, M. Haidacher, W. Wein, I. Viola, and M. E. Gröller, "Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization," in Proceedings of Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2007), 2007, p. 275–282.
[BibTeX]

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 thatallows 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 amore opaque representation of the anatomy is exposed in the surrounding area.
@INPROCEEDINGS {Burns2007,
author = "Michael Burns and Martin Haidacher and Wolfgang Wein and Ivan Viola and Meister Eduard Gr{\"o}ller",
title = "Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization",
booktitle = "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2007)",
year = "2007",
pages = "275--282",
month = "may",
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 thatallows 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 amore opaque representation of the anatomy is exposed in the surrounding area.",
images = "images/burns07eurovis.jpg, images/burns07eurovis2.jpg",
thumbnails = "images/burns07eurovis_thumb.jpg, images/burns07eurovis2_thumb.jpg",
location = "Norrk{\"o}ping, Sweden",
event = "EuroVis 2007",
url = "//www.cs.princeton.edu/gfx/pubs/Burns_2007_FEA/"
}
projectidprojectid

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