Title :
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
fDate :
Aug. 30 2006-Sept. 3 2006
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260127
