Assessment of reliability of multi-site neuroimaging via traveling phantom study

Sylvain Gouttard, Martin Styner, Marcel Prastawa, Joseph Piven, Guido Gerig

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

    Abstract

    This paper describes a framework for quantitative analysis of neuroimaging data of traveling human phantoms used for cross-site validation. We focus on the analysis of magnetic resonance image data including intra- and inter-site comparison. Locations and magnitude of geometric deformation is studied via unbiased atlas building and metrics on deformation fields. Variability of tissue segmentation is analyzed by comparison of volumes, overlap of tissue maps, and a new Kullback-Leibler divergence on tissue probabilities, with emphasis on comparing probabilistic rather than binary segmentations. We show that results from this information theoretic measure are highly correlated with overlap. Reproducibility of automatic, atlas-based segmentation of subcortical structures is examined by comparison of volumes, shape overlap and surface distances. Variability among scanners of the same type but also differences to a different scanner type are discussed. The results demonstrate excellent reliability across multiple sites that can be achieved by the use of the today's scanner generation and powerful automatic analysis software. Knowledge about such variability is crucial for study design and power analysis in new multi-site clinical studies.

    Original languageEnglish (US)
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings
    PublisherSpringer Verlag
    Pages263-270
    Number of pages8
    EditionPART 2
    ISBN (Print)3540859896, 9783540859895
    DOIs
    StatePublished - 2008
    Event11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008 - New York, NY, United States
    Duration: Sep 6 2008Sep 10 2008

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume5242 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008
    CountryUnited States
    CityNew York, NY
    Period9/6/089/10/08

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Fingerprint Dive into the research topics of 'Assessment of reliability of multi-site neuroimaging via traveling phantom study'. Together they form a unique fingerprint.

  • Cite this

    Gouttard, S., Styner, M., Prastawa, M., Piven, J., & Gerig, G. (2008). Assessment of reliability of multi-site neuroimaging via traveling phantom study. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings (PART 2 ed., pp. 263-270). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5242 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-540-85990-1-32