A framework for predictive modeling of intra-operative deformations: A simulation-based study

Stelios K. Kyriacou, Dinggang Shen, Christos Davatzikos

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    Deformations that occur between pre-operative scans and the intra-operative setup can render pre-operative plans inaccurate or even unusable. It is therefore important to predict such deformations and account for them in pre-operative planning. This paper examines two different, yet related methodologies for this task, both of which collect statistical information from a training set in order to construct a predictive model. The first one examines the modes of co-variation between shape and deformation, and is therefore purely shape-based. The second approach additionally incorporates knowledge about the biomechanical properties of anatomical structures in constructing a predictive model. The two methods are tested on simulated training sets. Preliminary results show average errors of 9% (both methods) for a simulated dataset that had a moderate statistical variation and 36% (first method) and 23% (second method) for a dataset with a large statistical variation. Use of the above methodologies will hopefully lead to better clinical outcome by improving pre-operative plans.

    Original languageEnglish
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings
    EditorsScott L. Delp, Anthony M. DiGoia, Branislav Jaramaz
    PublisherSpringer Verlag
    Pages634-642
    Number of pages9
    ISBN (Print)3540411895, 9783540411895
    DOIs
    Publication statusPublished - 2000
    Event3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 - Pittsburgh, United States
    Duration: 2000 Oct 112000 Oct 14

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1935
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000
    Country/TerritoryUnited States
    CityPittsburgh
    Period00/10/1100/10/14

    Bibliographical note

    Publisher Copyright:
    © Springer-Verlag Berlin Heidelberg 2000.

    Keywords

    • Deformable mapping
    • Finite element modeling and simulation
    • Registration techniques

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

    Fingerprint

    Dive into the research topics of 'A framework for predictive modeling of intra-operative deformations: A simulation-based study'. Together they form a unique fingerprint.

    Cite this