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Shape-Constrained Deformable Models and Applications in Medical Imaging

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Shape Analysis in Medical Image Analysis

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 14))

Abstract

The recognition and segmentation of organs and anatomical structures in medical images is the basis for an efficient workflow and quantitative measurements in diagnostic and interventional applications. Numerous methods have been developed in the past for specific applications, and many of them are based on variants and extensions of active contours or active shape methods. We present an overview over shape-constrained deformable models that have specifically been developed for organ segmentation in 3D medical images. They rely on a pre-defined shape space like active shape models, but preserve some flexibility of active contour approaches as they allow deviations from the shape space. In particular, we describe our approach to shape parametrization and the concept of “Simulated Search” that we use to train boundary detection. Fully automatic segmentation is achieved by a segmentation chain comprising a localization step based on the Generalized Hough Transformation and subsequent model adaptation with increasing degrees of freedom. Finally, we show how shape-constrained deformable models allow to address clinical applications in cardiology and neurology.

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Authors and Affiliations

  1. Philips Technologie GmbH, Innovative Technologies, Research Laboratories, Röntgenstrasse 24–26, 22335 , Hamburg, Germany

    Jürgen Weese, Irina Wächter-Stehle & Jochen Peters

  2. Philips Research North America, 345 Scarborough Road, Briarcliff Manor, NY, 10510, USA

    Lyubomir Zagorchev

Authors
  1. Jürgen Weese
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  2. Irina Wächter-Stehle
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  3. Lyubomir Zagorchev
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  4. Jochen Peters
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Correspondence to Jürgen Weese .

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Editors and Affiliations

  1. GE Healthcare and University of Western Ontario, London, Ontario, Canada

    Shuo Li

  2. Departamento de Engenharia Mecânica, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

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Weese, J., Wächter-Stehle, I., Zagorchev, L., Peters, J. (2014). Shape-Constrained Deformable Models and Applications in Medical Imaging. In: Li, S., Tavares, J. (eds) Shape Analysis in Medical Image Analysis. Lecture Notes in Computational Vision and Biomechanics, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-319-03813-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-03813-1_5

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