Non-Parametric Image Subtraction for MRI

Paul Bromiley, Neil Thacker, Ela Claridge (Editor), Jeff Bamber (Editor), Keith Marlow (Editor)

    Research output: Contribution to conferencePoster

    Abstract

    Image subtraction is used in many areas of machine vision to identify small changes between equivalent pairs of images. Often only a small subset of the differences will be of interest. For example, MS lesions can be detected by subtraction of MRI scans taken before and after the injection of GdDTPA contrast agent. The contrast agent highlights the lesions, but also results in global changes in the post-injection scan. Simple image subtraction detects all differences regardless of their source, and is therefore problematic to use. Superior techniques, analogous to standard statistical tests, can isolate localised differences due to lesions from global differences. We introduce a new non-parametric statistical measure which allows a direct probabilistic interpretation of image differences. We expect this to be applicable to a wide range of image formation processes. Its application to medical images is discussed.
    Original languageEnglish
    Pages105-108
    Number of pages4
    Publication statusPublished - 2001
    EventMedical Image Understanding and Analysis - The University of Birmingham
    Duration: 16 Jul 200117 Jul 2001

    Conference

    ConferenceMedical Image Understanding and Analysis
    CityThe University of Birmingham
    Period16/07/0117/07/01

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