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Correction of intensity variations in MR images for computer-aided tissue classification.

Correction of intensity variations in MR images for computer-aided tissue classification. Research Abstract Details 

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  • Correction of intensity variations in MR images for computer-aided tissue classification. Abstract Text:

    b m dawantB M Dawant,a p zijdenbosA P Zijdenbos,r a margolinR A Margolin,

    A number of supervised and unsupervised pattern recognition techniques have been proposed in recent years for the segmentation and the quantitative analysis of MR images. However, the efficacy of these techniques is affected by acquisition artifacts such as inter-slice, intra-slice, and inter-patient intensity variations. Here a new approach to the correction of intra-slice intensity variations is presented. Results demonstrate that the correction process enhances the performance of backpropagation neural network classifiers designed for the segmentation of the images. Two slightly different versions of the method are presented. The first version fits an intensity correction surface directly to reference points selected by the user in the images. The second version fits the surface to reference points obtained by an intermediate classification operation. Qualitative and quantitative evaluation of both methods reveals that the first one leads to a better correction of the images than the second but that it is more sensitive to operator errors.

    Correction of intensity variations in MR images for computer-aided tissue classification. Publishing Authors By Initials

    bm dawantBM Dawant,ap zijdenbosAP Zijdenbos,ra margolinRA Margolin,

    For similar abstracts research abstracts see: abstracts research

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    Correction of intensity variations in MR images for computer-aided tissue classification. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: IEEE transactions on medical imaging

    VOLUME: 12

    Page Numbers: 770-81

    Journal Abbreviation:

    ISSN: 0278-0062

    DAY: 25

    MONTH: 01

    YEAR: 1993

    Correction of intensity variations in MR images for computer-aided tissue classification. Information

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    LANGUAGE: eng

    NlmUniqueID: 8310780

    Correction of intensity variations in MR images for computer-aided tissue classification. Keywords Mesh Terms:

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    Grant and Affiliation Information for Correction of intensity variations in MR images for computer-aided tissue classification.

    AFFILIATION: Dept. of Electr. Eng., Vanderbilt Univ., Nashville, TN.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: IEEE Trans Med Imaging

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