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Registration for 3D Morphological Comparison of Brain Aneurysm Growth

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Advances in Visual Computing (ISVC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6938))

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Abstract

Recent advancements in 3D imaging technology have helped the early detection of brain aneurysms before aneurysm rupture. Developing management strategies for aneurysms has been an active research area. Because some unruptured aneurysms are followed up with medical images over years, there is an immediate need for methods to quantitatively compare aneurysm morphology to study the growth. We present a novel registration method which utilized the volumetric elastic model specifically for this medical application. Validations to test the accuracy of the algorithm using phantom models were performed to determine the robustness of the method. Examples of the medical application using aneurysm images are shown and compared with their clinical presentation.

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of California, Los Angeles, CA, USA

    Carl Lederman & Luminita Vese

  2. Division of Interventional Neuroradiology, Department of Radiological Sciences, University of California, Los Angeles, CA, USA

    Aichi Chien

Authors
  1. Carl Lederman
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  2. Luminita Vese
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  3. Aichi Chien
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Editor information

Editors and Affiliations

  1. University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, 94720, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, 89512, Reno, NV, USA

    Darko Koracin

  5. Department of Computer Science and Engineering, University of South Carolina, 29208, Columbia, SC, USA

    Song Wang

  6. HRL Laboratories, 3011 Malibu Canyon Road, 90265-4797, Malibu, CA, USA

    Kim Kyungnam

  7. Purdue University, 47907-2021, West Lafayette, IN, USA

    Bedrich Benes

  8. Sandia National Laboratory, 87185, Albuquerque, NM, USA

    Kenneth Moreland

  9. University of Louisiana, 70504, Lafayette, LA, USA

    Christoph Borst

  10. Adobe Systems Incorporated, San Francisco, CA, USA

    Stephen DiVerdi

  11. Polytechnic Institute of NYU, 11201, Brooklyn, NY, USA

    Chiang Yi-Jen

  12. Lawrence Livermore National Laboratory, 94551-0808, Livermore, CA, USA

    Jiang Ming

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© 2011 Springer-Verlag Berlin Heidelberg

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Lederman, C., Vese, L., Chien, A. (2011). Registration for 3D Morphological Comparison of Brain Aneurysm Growth. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24028-7_36

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  • DOI: https://doi.org/10.1007/978-3-642-24028-7_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24027-0

  • Online ISBN: 978-3-642-24028-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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