Vessel Visualization using Curvicircular Feature Aggregation

Radiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional...

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Veröffentlicht in:Computer graphics forum Jg. 32; H. 3pt2; S. 231 - 240
Hauptverfasser: Mistelbauer, G., Morar, A., Varchola, A., Schernthaner, R., Baclija, I., Köchl, A., Kanitsar, A., Bruckner, S., Gröller, E.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.06.2013
Schlagworte:
Agglomeration
Analysis
Blood
Calcification
Cardiovascular disease
Computer graphics
I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms
I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Raytracing
I.4.6 [Image Processing and Computer Vision]: Segmentation-Edge and feature detection
Medical
Medical diagnosis
Studies
Visual
Visualization
ISSN:0167-7055, 1467-8659
Online-Zugang:Volltext
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Zusammenfassung:Radiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, we propose Curvicircular Feature Aggregation (CFA), which aggregates these rotated images into a single view. By eliminating the need for rotation, vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. We present applications of this technique in the medical domain and give feedback from radiologists.
Bibliographie:istex:574FA57A9A9250EB7AE2C834134F8E1BF7218D57
ark:/67375/WNG-0BRGDBMM-D
ArticleID:CGF12110
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12110