Non-rigid registration of vessel structures in IVUS images

Jaume Amores, Petia Radeva

    Research output: Contribution to journalArticleResearchpeer-review

    3 Citations (Scopus)

    Abstract

    We present a registration and retrieval algorithm of medical images. Our algorithm is oriented in a general fashion towards gray level medical images of non-rigid bodies such as coronary vessels, where object shape information provide poor information. We use rich descriptors based on both local and global (contextual) information, and at the same time we use a cooperative-iterative strategy in order to get a good set of correspondences as well as a good final transformation. We focus on a novel application of registration of medical images: registration of IVUS, a promising technique of analyzing the coronary vessels. © Springer-Verlag Berlin Heidelberg 2003.
    Original languageEnglish
    Pages (from-to)45-52
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2652
    Publication statusPublished - 1 Dec 2003

    Fingerprint Dive into the research topics of 'Non-rigid registration of vessel structures in IVUS images'. Together they form a unique fingerprint.

  • Cite this

    Amores, J., & Radeva, P. (2003). Non-rigid registration of vessel structures in IVUS images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2652, 45-52.