Search Results - "Pizer, S.M."

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  1. 1

    Measuring tortuosity of the intracerebral vasculature from MRA images by Bullitt, E., Gerig, G., Pizer, S.M., Weili Lin, Aylward, S.R.

    Published in IEEE transactions on medical imaging (01-09-2003)
    “…The clinical recognition of abnormal vascular tortuosity, or excessive bending, twisting, and winding, is important to the diagnosis of many diseases…”
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    Journal Article
  2. 2

    Principal geodesic analysis for the study of nonlinear statistics of shape by Fletcher, P.T., Conglin Lu, Pizer, S.M., Sarang Joshi

    Published in IEEE transactions on medical imaging (01-08-2004)
    “…A primary goal of statistical shape analysis is to describe the variability of a population of geometric objects. A standard technique for computing such…”
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    Journal Article
  3. 3

    Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination by Gorczowski, K., Styner, M., Ja Yeon Jeong, Marron, J.S., Piven, J., Hazlett, H.C., Pizer, S.M., Gerig, G.

    “…One goal of statistical shape analysis is the discrimination between two populations of objects. Whereas traditional shape analysis was mostly concerned with…”
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    Journal Article
  4. 4

    Automated Finite-Element Analysis for Deformable Registration of Prostate Images by Crouch, J.R., Pizer, S.M., Chaney, E.L., Yu-Chi Hu, Mageras, G.S., Zaider, M.

    Published in IEEE transactions on medical imaging (01-10-2007)
    “…Two major factors preventing the routine clinical use of finite-element analysis for image registration are: 1) the substantial labor required to construct a…”
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    Journal Article
  5. 5

    The Medical Image Display and Analysis Group at the University of North Carolina: Reminiscences and philosophy by Pizer, S.M.

    Published in IEEE transactions on medical imaging (01-01-2003)
    “…The period of the Medical Image Display and Analysis Group (MIDAG) so far is 1974-2002: more than 27 years. We began with a focus on two-dimensional (2-D)…”
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    Journal Article
  6. 6

    Multiscale medial shape-based analysis of image objects by Pizer, S.M., Gerig, G., Joshi, S., Aylward, S.R.

    Published in Proceedings of the IEEE (2003)
    “…Medial representation of a three-dimensional (3-D) object or an ensemble of 3-D objects involves capturing the object interior as a locus of medial atoms, each…”
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    Journal Article
  7. 7
  8. 8

    An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement by Zimmerman, J.B., Pizer, S.M., Staab, E.V., Perry, J.R., McCartney, W., Brenton, B.C.

    Published in IEEE transactions on medical imaging (01-12-1988)
    “…Adaptive histogram equalization (AHE) and intensity windowing have been compared using psychophysical observer studies. Experienced radiologists were shown…”
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    Journal Article
  9. 9

    Segmentation, registration, and measurement of shape variation via image object shape by Pizer, S.M., Fritsch, D.S., Yushkevich, P.A., Johnson, V.E., Chaney, E.L.

    Published in IEEE transactions on medical imaging (01-10-1999)
    “…A model of object shape by nets of medial and boundary primitives is justified as richly capturing multiple aspects of shape and yet requiring representation…”
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    Journal Article
  10. 10

    Contrast-limited adaptive histogram equalization: speed and effectiveness by Pizer, S.M., Johnston, R.E., Ericksen, J.P., Yankaskas, B.C., Muller, K.E.

    “…An experiment intended to evaluate the clinical application of contrast-limited adaptive histogram equalization (CLAHE) to chest computer tomography (CT)…”
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    Conference Proceeding
  11. 11

    Conveying the 3D shape of smoothly curving transparent surfaces via texture by Interrante, V., Fuchs, H., Pizer, S.M.

    “…Transparency can be a useful device for depicting multiple overlapping surfaces in a single image. The challenge is to render the transparent surfaces in such…”
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    Journal Article Conference Proceeding
  12. 12

    A shape-navigated image deformation model for 4D lung respiratory motion estimation by Xiaoxiao Liu, Saboo, R.R., Pizer, S.M., Mageras, G.S.

    “…Intensity modulated radiation therapy (IMRT) for cancers in the lung remains challenging due to the complicated respiratory dynamics. We propose a…”
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    Conference Proceeding Journal Article
  13. 13

    Medial-node models to identify and measure objects in real-time 3-D echocardiography by Stetten, G.D., Pizer, S.M.

    Published in IEEE transactions on medical imaging (01-10-1999)
    “…A method is proposed for the automatic, rapid, and stable identification and measurement of objects in three-dimensional (3-D) images. It is based on local…”
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    Journal Article
  14. 14

    Multiresolution analysis of ridges and valleys in grey-scale images by Gauch, J.M., Pizer, S.M.

    “…Two methods for identifying and analyzing the multiresolution behavior of ridges and valleys in grey-scale images are described. The first method uses the…”
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    Journal Article
  15. 15

    A multiresolution hierarchical approach to image segmentation based on intensity extrema by Lifshitz, L.M., Pizer, S.M.

    “…A computer algorithm which segments gray-scale images into regions of interest (objects) has been developed. These regions can provide the basis for scene…”
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    Journal Article
  16. 16

    Interpolation in Discrete Single Figure Medial Objects by Qiong Han, Pizer, S.M., Damon, J.N.

    “…The discrete m-rep, a medial representation of anatomical objects made from one or more meshes of medial atoms, has many attractive properties for biomedical…”
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    Conference Proceeding
  17. 17

    Statistical Shape Analysis of Multi-Object Complexes by Gorczowski, K., Styner, M., Ja-Yeon Jeong, Marron, J.S., Piven, J., Hazlett, H.C., Pizer, S.M., Gerig, G.

    “…An important goal of statistical shape analysis is the discrimination between populations of objects, exploring group differences in morphology not explained…”
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    Conference Proceeding
  18. 18

    CLUSTERING ON LOCAL APPEARANCE FOR DEFORMABLE MODEL SEGMENTATION by Stough, J.V., Broadhurst, R.E., Pizer, S.M., Chaney, E.L.

    “…We present a novel local region approach for statistically characterizing appearance in the context of medical image segmentation via deformable models. Our…”
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    Conference Proceeding
  19. 19

    A statistical appearance model based on intensity quantile histograms by Broadhurst, R.E., Stough, J., Pizer, S.M., Chaney, E.L.

    “…We present a novel histogram method for statistically characterizing the appearance of deformable models. In deformable model segmentation, appearance models…”
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    Conference Proceeding Journal Article
  20. 20

    Statistics of populations of images and its embedded objects: driving applications in neuroimaging by Gerig, G., Joshi, S., Fletcher, T., Gorczowski, K., Xu, S., Pizer, S.M., Styner, M.

    “…Work in progress towards modeling shape statistics of multi-object complexes is presented. Constraints defined by the set of objects such as a compact…”
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    Conference Proceeding Journal Article