Vesselness enhancement diffusion

C. Canero, P. Radeva

    Research output: Contribution to journalArticleResearchpeer-review

    44 Citations (Scopus)

    Abstract

    We propose a new anisotropic diffusion filter to enhance the local coherence of multiscale tubular structures on 2D images. The proposed filter uses a diffusion tensor with diffusion direction and strength determined by the local structure, and chooses automatically for each pixel the diffusion tensor scale. In this paper, we show how this filter enhances X-ray coronary angiographic images to facilitate vessel segmentation. To this aim, we present experimental results of the performance of the filter on synthetic and real images. © 2003 Elsevier B.V. All rights reserved.
    Original languageEnglish
    Pages (from-to)3141-3151
    JournalPattern Recognition Letters
    Volume24
    Issue number16
    DOIs
    Publication statusPublished - 1 Jan 2003

    Keywords

    • Image enhancement
    • Non-linear filtering
    • Tubular structures enhancement
    • Vessel segmentation
    • X-ray angiography

    Fingerprint Dive into the research topics of 'Vesselness enhancement diffusion'. Together they form a unique fingerprint.

    Cite this