3D segmentation of the mouse spleen in microCT via active contours

Author

Aykac, Deniz ; Price, Jeffery R. ; Wall, Jonathan S.

Author_Institution

Oak Ridge Nat. Lab., TN

Volume

3

fYear

2005

fDate

23-29 Oct. 2005

Lastpage

1545

Abstract

We present in this paper a novel method for 3D segmentation of the mouse spleen in X-ray CT (microCT) data. Our approach is based upon the 2D "active contours for smooth without edges" algorithm. We introduce a simple statistical weighting scheme that improves region contrast and segmentation performance. We extend the 2D approach to 3D by slice-to-slice processing, including the 3D flow of image statistics. The technique requires no training and operates semi-automatically, requiring only the entry of a single seed point within the spleen. Results are shown that demonstrate the effectiveness of our approach

Keywords

computerised tomography; image segmentation; medical image processing; statistical analysis; 3D image segmentation; X-ray CT; active contours; image statistics; microCT; mouse spleen; region contrast; slice-to-slice processing; statistical weighting scheme; Active contours; Animals; Biological system modeling; Computed tomography; Deformable models; High-resolution imaging; Image segmentation; Mice; Statistics; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2005 IEEE

Conference_Location

Fajardo

ISSN

1095-7863

Print_ISBN

0-7803-9221-3

Type

conf

DOI

10.1109/NSSMIC.2005.1596612

Filename

1596612