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Deformable Fourier surfaces for volume segmentation in SPECT

Författare:
  • L Floreby
  • Katarina Sjögreen Gleisner
  • Leif Sörnmo
  • Michael Ljungberg
Publiceringsår: 1998
Språk: Engelska
Sidor: 358-360
Volym: 1
Dokumenttyp: Konferensbidrag
Förlag: IEEE--Institute of Electrical and Electronics Engineers Inc.

Abstract english

Three-dimensional boundary finding based on Fourier surface optimization is presented as a method for segmentation of SPECT images. Being robust against noise and adjustable with respect to its detail resolution, it forms an interesting alternative in this application area. A three-dimensional approach can also be assumed to increase the possibility of delineating low contrast regions, as compared to a two-dimensional slice-by-slice approach. We apply boundary finding to Monte Carlo simulated SPECT images of the computer-based anthropomorphic Zubal phantom in order to evaluate the influence of object contrast and noise on the segmentation accuracy. Segmentation is also performed in real patient images

Keywords

  • Radiology, Nuclear Medicine and Medical Imaging

Other

14th International Conference on Pattern Recognition (ICPR 1998)
1998-08-16 - 1998-08-20
Brisbane, Australia
Published
  • ISSN: 1051-4651
  • ISBN: 0-8186-8512-3
Michael Ljungberg
E-post: michael [dot] ljungberg [at] med [dot] lu [dot] se

Professor

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Avdelningschef

Medicinsk strålningsfysik, Lund

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Avdelningsföreståndare

Medicinsk strålningsfysik, Lund

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Projektledare

Nuclear Medicine Physics

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