Pyramidal multiresolution image segmentation in SPECT

Y. Erdi, M. Loew, A. Erdi, B. Wessels

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


A median filtered pyramidal multiresolution (MFPM) image segmentation method for detecting and delineating compact objects was applied to single-photon emission computed tomography (SPECT) images. These SPECT images were obtained by scanning spheres from 1 to 54 ml in size and from 50% to 100% contrast settings. The algorithm performed accurately for large sphere (20 and 54 ml) and high contrast (90% and 100%) cases. As the size and contrast decrease, the accuracy of the method also decreases. Comparison of the MFPM method with adaptive thresholding with edge-preserving smoothing (ATEPS) indicated superior performance of the MFPM method.

Original languageEnglish (US)
Pages (from-to)694-695
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Issue numberpt 1
StatePublished - 1994
Externally publishedYes
EventProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA
Duration: Nov 3 1994Nov 6 1994

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics


Dive into the research topics of 'Pyramidal multiresolution image segmentation in SPECT'. Together they form a unique fingerprint.

Cite this