A 3D level sets method for segmenting the mouse spleen and follicles in volumetric microCT images

Conf Proc IEEE Eng Med Biol Soc. 2006:2006:2332-6. doi: 10.1109/IEMBS.2006.260127.

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.

Publication types

  • Evaluation Study
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Animals
  • Artificial Intelligence
  • Imaging, Three-Dimensional / methods*
  • Imaging, Three-Dimensional / veterinary*
  • Mice
  • Pattern Recognition, Automated / methods*
  • Radiographic Image Enhancement / methods
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Spleen / diagnostic imaging*
  • Tomography, X-Ray Computed / methods*
  • Tomography, X-Ray Computed / veterinary*