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Sparse Appearance Model Based Registration of 3D Ultrasound Images

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Medical Imaging and Augmented Reality (MIAR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4091))

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Abstract

In this paper, we propose a sparse appearance model based registration algorithm for segmenting 3D echocardiograms. The end-diastolic model is built in 3D sparsely on 2D planes, representing the anatomical 4-chamber, 2-chamber, and short-axis views. Ultrasound specific intensity normalization and shape-based intensity modeling are employed. The model is matched in an intensity-based registration approach, by perturbing appearance and pose parameters simultaneously. Leave-one-out experiments on 10 patients reveal significant improvement in the segmentation using the normalized cross-correlation metric. The registration method will allow fully automatic extraction of the standard views as used in echocardiography. This will aid in the selection of images for inter- and intra-patient comparison and may provide an alternative for a complete 3D AAM.

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Author information

Authors and Affiliations

  1. Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands

    K. Y. Esther Leung, Marijn van Stralen, Gerard van Burken, Marco M. Voormolen, Attila Nemes, Folkert J. ten Cate, Nico de Jong, Antonius F. W. van der Steen & Johan G. Bosch

  2. ICIN – Interuniversity Cardiology Institute of the Netherlands, Utrecht, the Netherlands

    Marijn van Stralen, Marco M. Voormolen, Nico de Jong & Antonius F. W. van der Steen

  3. Div. Image Processing, Dept. of Radiology, Leiden University Medical Center, Leiden, the Netherlands

    Marijn van Stralen & Johan H. C. Reiber

Authors
  1. K. Y. Esther Leung
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  2. Marijn van Stralen
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  3. Gerard van Burken
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  4. Marco M. Voormolen
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  5. Attila Nemes
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  6. Folkert J. ten Cate
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  7. Nico de Jong
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  8. Antonius F. W. van der Steen
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  9. Johan H. C. Reiber
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  10. Johan G. Bosch
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Editor information

Editors and Affiliations

  1. Royal Society/Wolfson Medical Image Computing Laboratory & Department of Biosurgery and Surgical Technology, Imperial College London, London, United Kingdom

    Guang-Zhong Yang

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, People’s Republic of China

    TianZi Jiang

  3. Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, 27510, Chapel Hill, NC

    Dinggang Shen

  4. Computer Science, Shanghai Jiaotong University, 800 Dongchuan Road, 200240, Shanghai, China

    Lixu Gu

  5. Institute of IP & PR, Shanghai Jiao Tong Univ., P.R. China

    Jie Yang

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© 2006 Springer-Verlag Berlin Heidelberg

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Leung, K.Y.E. et al. (2006). Sparse Appearance Model Based Registration of 3D Ultrasound Images. In: Yang, GZ., Jiang, T., Shen, D., Gu, L., Yang, J. (eds) Medical Imaging and Augmented Reality. MIAR 2006. Lecture Notes in Computer Science, vol 4091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11812715_30

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  • DOI: https://doi.org/10.1007/11812715_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37220-2

  • Online ISBN: 978-3-540-37221-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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