Automated medical image processing methods for virtual endoscopy

László Szilágyi, S. M. Szilágyi, Z. Benyó

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Traditional endoscopes penetrate the human body in order to provide high-resolution internal views of cavities and hollow organs. Even though such examinations are mostly considered non-invasive, the procedure causes pain, or at least discomforts the patient, who consequently needs some kind of sedation or anesthesia. Virtual endoscopes provide internal views of the human body without penetrating it, based on a set of parallel cross-sections produced with any computer tomography method. This paper presents the design and implementation of a software system, which acts like a virtual endoscope. It takes into account the general requirements of the system, gives a solution that uses a multi-step algorithm, and finally shows the resulting 3-D images. Most of the algorithmic steps have several possible solutions. Some comparisons are made among them where appropriate. Our virtual endoscope establishes 3-D internal views based on sets of 2-D slices, which originate from magnetic resonance imaging devices. The chain of the applied image processing methods consists of the followings: (1) Adaptive filtering to eliminate the low-frequency intensity non-uniformity (INU) artifact, and high-frequency “salt-and-pepper” disturbances; (2) Segmentation of the stack of MRI slices using an enhanced fuzzy Cmeans algorithm; (3) 3-D surface recovery algorithm based on level set methods and fast marching methods, a comparison is made between their performances; (4) Interactive visualization using modern computer graphics technologies, providing the possibility to measure distances, areas, volumes as well. The quality of service provided by the chosen method mainly depends on the resolution of the input images.

Original languageEnglish
Pages (from-to)2383-2387
Number of pages5
JournalIFMBE Proceedings
Volume14
Issue number1
Publication statusPublished - Jan 1 2007
Event10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 - Seoul, Korea, Republic of
Duration: Aug 27 2006Sep 1 2006

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Keywords

  • Fuzzy clustering
  • Level set method
  • Virtual endoscope

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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