A 3D Level Sets Method for Segmenting the Mouse Spleen and Follicles in Volumetric microCT Images

Author

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

Author_Institution

Image Sci. & Machine Vision Group, Oak Ridge Nat. Lab., TN

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

2332

Lastpage

2336

Abstract

We present a semi-automatic, 3D approach for segmenting the mouse spleen, and its interior follicles, in volumetric microCT imagery. Based upon previous 2D level sets work, we develop a fully 3D implementation and provide the corresponding finite difference formulas. We incorporate statistical and proximity weighting schemes to improve segmentation performance. We also note an issue with the original algorithm and propose a solution that proves beneficial in our experiments. Experimental results are provided for artificial and real data

Keywords

biological organs; computerised tomography; finite difference methods; image segmentation; medical image processing; statistical analysis; 3D implementation; 3D level sets method; finite difference formula; follicles; image segmentation; mouse spleen; proximity weighting scheme; semiautomatic approach; statistical scheme; volumetric microCT images; Animals; Bioinformatics; Blood; Diseases; Finite difference methods; Genomics; Humans; Image segmentation; Level set; Mice;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.260127

Filename

4462260