Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70175
Title: Automatic detection of PET lesions
Authors: Chen, Z
Feng, DD
Cai, WD
Keywords: PET
Symmetry
Automatic diagnosis
Issue Date: 2003
Publisher: Australian Computer Society
Source: Conferences in research and practice in information technology, May 2003, v. 22, p. 21-26 How to cite?
Journal: Conferences in research and practice in information technology 
Abstract: We propose a method to handle the automatic detection of PET lesions based on asymmetry feature measurement after segmenting the PET images. It is an essentially initial step in automatic diagnosis and content-based retrieval applications. Our technique includes six steps: Image alignment, segmentation, image reflection & subtraction, thresholding, background removal using morphological filtering and segment back-mapping. Compared with existing per-pixel asymmetry detection methods, our method can provide fewer false positives and more accurate results.
Description: 2002 Pan-Sydney Workshop on Visualisation (VIP'2002), Sydney, Australia, 2002
URI: http://hdl.handle.net/10397/70175
ISBN: 1-920682-01-5
ISSN: 1445-1336
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