Building 3D sulcal models using local geometry

A. Caunce, C. J. Taylor

    Research output: Contribution to journalArticlepeer-review


    This paper presents a series of 3D statistical models of the cortical sulci. They are built from points located automatically over the sulcal fissures, and corresponded automatically using variants on the iterative closest point algorithm. The models are progressively improved by adding in more and more structural and configural information, and the final results are consistent with findings from other anatomical studies. The models can be used to locate and label anatomical features automatically in 3D MR images of the head, for analysis, visualisation, classification, and normalisation. © 2001 Elsevier Science B.V. All rights reserved.
    Original languageEnglish
    Pages (from-to)69-80
    Number of pages11
    JournalMedical Image Analysis
    Issue number1
    Publication statusPublished - Mar 2001


    • Brain atlas
    • Cortex
    • Deformable template
    • Statistical models
    • Sulcal patterns


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