IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-56478-9_53.html
   My bibliography  Save this book chapter

Mathematical Methods in Medical Imaging: Analysis of Vascular Structures for Liver Surgery Planning

In: Mathematics Unlimited — 2001 and Beyond

Author

Listed:
  • Dirk Selle
  • Wolf Spindler
  • Bernhard Preim
  • Heinz-Otto Peitgen

Abstract

Mathematics and medicine do not have a long history of close and fruitful cooperation. The application of mathematical methods in medical applications has become viable due to the increasing performance of computers and since more and more digital image data is acquired. While in former times conventional X-ray images — recorded at an analog film — have been used for diagnosis and treatment planning, more and more (digital) 3D datasets, such as Computed Tomography (CT-images) and Magnetic Resonance Imaging (MRI) are acquired for patients with severe diseases. With mathematical methods these 3D datasets may be quantitatively analyzed and visualized such that medical diagnosis and the assessment of therapeutic strategies becomes more reliable and reproducible.

Suggested Citation

  • Dirk Selle & Wolf Spindler & Bernhard Preim & Heinz-Otto Peitgen, 2001. "Mathematical Methods in Medical Imaging: Analysis of Vascular Structures for Liver Surgery Planning," Springer Books, in: Björn Engquist & Wilfried Schmid (ed.), Mathematics Unlimited — 2001 and Beyond, pages 1039-1059, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-56478-9_53
    DOI: 10.1007/978-3-642-56478-9_53
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-642-56478-9_53. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.