Active contours with weighted external forces for medical image segmentation

Alaa Khadidos, Victor Sanchez, Chang-Tsun Li

    Research output: Book chapter/Published conference paperConference paperpeer-review

    38 Downloads (Pure)

    Abstract

    Parametric active contours have been widely used for image segmentation. However,high noise levels and weak edges are the most acute issues that hinder their performance,particularly in medical images. In order to overcome these issues, we propose an external force that weights the gradient vector flow (GVF) field and balloon forces according to local image features. We also propose a mechanism to automatically terminate the contour’s deformation. Evaluation results on real MRI and CT slices show that the proposed approach attains higher segmentation accuracy than snakes using traditional external forces, while allowing initialization using a limited number of selected points.
    Original languageEnglish
    Title of host publicationMedical Image Understanding and Analysis 2014
    Subtitle of host publicationProceedings of the 18th conference on Medical Image Understanding and Analysis
    Place of PublicationUnited Kingdom
    PublisherBritish Machine Vision Association and Society for Pattern Recognition
    Pages149-154
    Number of pages6
    Publication statusPublished - 2014
    Event18th Conference on Medical Image Understanding and Analysis 2014 - Royal Holloway, Egham, United Kingdom
    Duration: 09 Jul 201411 Jul 2014
    https://www.city.ac.uk/medical-image-understanding-and-analysis-2014

    Conference

    Conference18th Conference on Medical Image Understanding and Analysis 2014
    Country/TerritoryUnited Kingdom
    CityEgham
    Period09/07/1411/07/14
    Internet address

    Fingerprint

    Dive into the research topics of 'Active contours with weighted external forces for medical image segmentation'. Together they form a unique fingerprint.

    Cite this