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Vessel Visualization using Curvicircular Feature Aggregation
Author(s) -
Mistelbauer G.,
Morar A.,
Varchola A.,
Schernthaner R.,
Baclija I.,
Köchl A.,
Kanitsar A.,
Bruckner S.,
Gröller E.
Publication year - 2013
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12110
Subject(s) - computer science , visualization , feature (linguistics) , computer vision , artificial intelligence , domain (mathematical analysis) , rotation (mathematics) , computer graphics (images) , mathematics , mathematical analysis , philosophy , linguistics
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.