Title :
A new method based on both fuzzy set and possibility theories for tumor volume segmentation on PET images
Author :
Dewalle-Vignion, A.S. ; Betrouni, N. ; Makni, N. ; Huglo, D. ; Rousseau, J. ; Vermandel, Maximilien
Author_Institution :
Inserm, U703, University Hospital of Lille, France
Abstract :
A new automatic method for tumor volume segmentation on PET images has been developed. The method introduced in this paper is based on previous works in MRA segmentation and involves both fuzzy set and possibility theories. Visual results prove the method efficiency which is confirmed by obtained Jaccard index.
Keywords :
Cancer; Fusion power generation; Fuzzy set theory; Fuzzy sets; Hospitals; Image segmentation; Neoplasms; Nuclear medicine; Positron emission tomography; Possibility theory; Algorithms; Automation; Carcinoma, Hepatocellular; Diagnosis, Computer-Assisted; Fuzzy Logic; Humans; Image Enhancement; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Liver Neoplasms; Models, Theoretical; Neoplasms; Positron-Emission Tomography; Probability; Reproducibility of Results;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649865
