Slice-adaptive histogram for improvement of anatomical structure extraction in volume data

Authors:
Timothy S. Newman;Ning Tang;Chun Dong;Peter Choyke
Affiliations:
Department of Computer Science, University of Alabama in Huntsville, N300 Techonology Hall, Huntsville, AL;Department of Computer Science, University of Alabama in Huntsville, N300 Techonology Hall, Huntsville, AL;Department of Computer Science, University of Alabama in Huntsville, N300 Techonology Hall, Huntsville, AL;Department of Radiology, National Institutes of Health Clinical Center, Bethesda, MD
Venue:
Pattern Recognition Letters
Year:
2002

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Abstract

The slice-adaptive histogramming method for improving coarse segmentation of structures from volume data (especially extraction of anatomical structures in the lower torso from computerized tomography data) is introduced. The method uses a series of local histograms to enable a final segmentation that can adapt to slice-to-slice intensity variations.