Co-dimension 2 Geodesic Active Contours for MRA Segmentation

Automatic and semi-automatic magnetic resonance angiography (MRA) segmentation techniques can potentially save radiologists large amounts of time required for manual segmentation and can facilitate further data analysis. The proposed MRA segmentation method uses a mathematical modeling technique which is well-suited to the complicated curve-like structure of blood vessels. We define the segmentation task as an energy minimization over all 3D curves and use a level set method to search for a solution. Our approach is an extension of previous level set segmentation techniques to higher co-dimension.

• Publication year

  1999

• Venue

  Information Processing in Medical Imaging

• Publication date

  1999-06-28

• Fields of study

  Medicine, Computer Science, Engineering, Mathematics

• Identifiers
  DOI 10.1007/3-540-48714-X_10
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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