Models for 3D vascular image analysis

• Autorzy: Orkisz M. , Hernández Hoyos M.
• Języki publikacji: EN

Abstrakty

EN

In image processing, models are used to improve robustness of algorithms by introducing a priori knowledge. Deformable models, frequently used in the field of medical images, are described by means of energy functionals with data attachment terms and regularising terms. The regularising terms express constraints relating to the expected shapes. The expected shape of a blood vessel segment in 3D images obtained by Magnetic Resonance Imaging or by helicoidal Computed Tomography is often implicitly described by a generalised cylinder model, i.e. an association of an axis (vessel centreline) and a surface (vessel boundary). In this context, the data attachment terms involve, for candidate points, a measure of the likelihood of being located on the centreline or on the boundary. Such a measure can use models reflecting low-level local photometrical properties of the brightness patterns. This presentation will give an overview of the recently used models and will be illustrated by the authors' contribution.

Słowa kluczowe

EN

medical imaging; blood vessels; 3D images; image processing; segmentation; model

PL

obrazowanie medyczne; naczynia krwionośne; obrazy 3D; przetwarzanie obrazu; segmentacja; model

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2001
• Tom: Vol. 2, Part. 1
• Strony: IP13--IP22
• Opis fizyczny: Bibliogr. 60 poz., rys

Twórcy

autor

Orkisz M.

• CREATIS UMR CNRS #5515, INSA de Lyon, bât. Blaise Pascal, 7 rue J. Capelle, 69621 Villeurbanne cedex, France

autor

Hernández Hoyos M.

• CREATIS UMR CNRS #5515, INSA de Lyon, bât. Blaise Pascal, 7 rue J. Capelle, 69621 Villeurbanne cedex, France

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