Evaluation of brain MRI alignment with the robust hausdorff distance measures

Andriy Fedorov, Eric Billet, Marcel Prastawa, Guido Gerig, Alireza Radmanesh, Simon K. Warfield, Ron Kikinis, Nikos Chrisochoides

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

    Abstract

    We present a novel automated method for assessment of image alignment, applied to non-rigid registration of brain Magnetic Resonance Imaging data (MRI) for image-guided neurosurgery. We propose a number of robust modifications to the Hausdorff distance (HD) metric, and apply it to the edges recovered from the brain MRI to evaluate the accuracy of image alignment. The evaluation results on synthetic images, simulated tumor growth MRI and real neurosurgery data with expert- identified anatomical landmarks, confirm that the accuracy of alignment error estimation is improved compared to the conventional HD. The proposed approach can be used to increase confidence in the registration results, assist in registration parameter selection, and provide local estimates and visual assessment of the registration error.

    Original languageEnglish (US)
    Title of host publicationAdvances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
    Pages594-603
    Number of pages10
    Volume5358 LNCS
    EditionPART 1
    DOIs
    StatePublished - 2008
    Event4th International Symposium on Visual Computing, ISVC 2008 - Las Vegas, NV, United States
    Duration: Dec 1 2008Dec 3 2008

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 1
    Volume5358 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other4th International Symposium on Visual Computing, ISVC 2008
    CountryUnited States
    CityLas Vegas, NV
    Period12/1/0812/3/08

    Fingerprint

    Hausdorff Distance
    Hausdorff Measure
    Magnetic Resonance Imaging
    Distance Measure
    Neurosurgery
    Brain
    Alignment
    Registration
    Evaluation
    Non-rigid Registration
    Error analysis
    Hausdorff Metric
    Tumor Growth
    Distance Metric
    Parameter Selection
    Tumors
    Error Estimation
    Landmarks
    Confidence
    Evaluate

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Fedorov, A., Billet, E., Prastawa, M., Gerig, G., Radmanesh, A., Warfield, S. K., ... Chrisochoides, N. (2008). Evaluation of brain MRI alignment with the robust hausdorff distance measures. In Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings (PART 1 ed., Vol. 5358 LNCS, pp. 594-603). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5358 LNCS, No. PART 1). https://doi.org/10.1007/978-3-540-89639-5_57

    Evaluation of brain MRI alignment with the robust hausdorff distance measures. / Fedorov, Andriy; Billet, Eric; Prastawa, Marcel; Gerig, Guido; Radmanesh, Alireza; Warfield, Simon K.; Kikinis, Ron; Chrisochoides, Nikos.

    Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. Vol. 5358 LNCS PART 1. ed. 2008. p. 594-603 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5358 LNCS, No. PART 1).

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

    Fedorov, A, Billet, E, Prastawa, M, Gerig, G, Radmanesh, A, Warfield, SK, Kikinis, R & Chrisochoides, N 2008, Evaluation of brain MRI alignment with the robust hausdorff distance measures. in Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 1 edn, vol. 5358 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5358 LNCS, pp. 594-603, 4th International Symposium on Visual Computing, ISVC 2008, Las Vegas, NV, United States, 12/1/08. https://doi.org/10.1007/978-3-540-89639-5_57
    Fedorov A, Billet E, Prastawa M, Gerig G, Radmanesh A, Warfield SK et al. Evaluation of brain MRI alignment with the robust hausdorff distance measures. In Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 1 ed. Vol. 5358 LNCS. 2008. p. 594-603. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-540-89639-5_57
    Fedorov, Andriy ; Billet, Eric ; Prastawa, Marcel ; Gerig, Guido ; Radmanesh, Alireza ; Warfield, Simon K. ; Kikinis, Ron ; Chrisochoides, Nikos. / Evaluation of brain MRI alignment with the robust hausdorff distance measures. Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. Vol. 5358 LNCS PART 1. ed. 2008. pp. 594-603 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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