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

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

5259

Lastpage

5262

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353528

Filename

4353528