DTI quality control assessment via error estimation from Monte Carlo simulations

Mahshid Farzinfar, Yin Li, Audrey R. Verde, Ipek Oguz, Guido Gerig, Martin A. Styner

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

    Abstract

    Diffusion Tensor Imaging (DTI) is currently the state of the art method for characterizing the microscopic tissue structure of white matter in normal or diseased brain in vivo. DTI is estimated from a series of Diffusion Weighted Imaging (DWI) volumes. DWIs suffer from a number of artifacts which mandate stringent Quality Control (QC) schemes to eliminate lower quality images for optimal tensor estimation. Conventionally, QC procedures exclude artifact-affected DWIs from subsequent computations leading to a cleaned, reduced set of DWIs, called DWI-QC. Often, a rejection threshold is heuristically/empirically chosen above which the entire DWI-QC data is rendered unacceptable and thus no DTI is computed. In this work, we have devised a more sophisticated, Monte-Carlo (MC) simulation based method for the assessment of resulting tensor properties. This allows for a consistent, error-based threshold definition in order to reject/accept the DWI-QC data. Specifically, we propose the estimation of two error metrics related to directional distribution bias of Fractional Anisotropy (FA) and the Principal Direction (PD). The bias is modeled from the DWI-QC gradient information and a Rician noise model incorporating the loss of signal due to the DWI exclusions. Our simulations further show that the estimated bias can be substantially different with respect to magnitude and directional distribution depending on the degree of spatial clustering of the excluded DWIs. Thus, determination of diffusion properties with minimal error requires an evenly distributed sampling of the gradient directions before and after QC.

    Original languageEnglish (US)
    Title of host publicationMedical Imaging 2013
    Subtitle of host publicationImage Processing
    DOIs
    StatePublished - 2013
    EventMedical Imaging 2013: Image Processing - Lake Buena Vista, FL, United States
    Duration: Feb 10 2013Feb 12 2013

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume8669
    ISSN (Print)1605-7422

    Other

    OtherMedical Imaging 2013: Image Processing
    CountryUnited States
    CityLake Buena Vista, FL
    Period2/10/132/12/13

    Keywords

    • Diffusion tensor imaging
    • Quality control and Monte Carlo simulation

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Biomaterials
    • Atomic and Molecular Physics, and Optics
    • Radiology Nuclear Medicine and imaging

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