Title :
3D automatic segmentation and reconstruction of prostate on MR images
Author :
Betrouni, N. ; Puech, P. ; Dewalle, A.S. ; Lopes, R. ; Dubois, P. ; Vermandel, M.
Author_Institution :
Inserm, Lille
Abstract :
In this work we present a method to automatic 3D segmentation of prostate on MR images and volume reconstruction by fuzzy sets fusion algorithm. The segmentation is model based method and the reconstruction takes into account the slice thickness to reduce the partial volume effect.
Keywords :
biological organs; biomedical MRI; cancer; fuzzy set theory; image fusion; image reconstruction; image segmentation; medical image processing; tumours; 3D automatic segmentation; MR image reconstruction; fuzzy sets fusion algorithm; partial volume effect reduction; prostate cancer diagnosis; prostate volume reconstruction; slice thickness; Covariance matrix; Deformable models; Fuzzy sets; Image reconstruction; Image segmentation; Iterative closest point algorithm; Magnetic resonance imaging; Principal component analysis; Shape; Surface morphology; Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Male; Pattern Recognition, Automated; Prostate; Prostatic Neoplasms; Reproducibility of Results; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353528
