Title :
3D Multi-scale level set segmentation of vertebrae
Author :
Tan, Sovira ; Yao, Jianhua ; Ward, Michael M. ; Yao, Lawrence ; Summers, Ronald M.
Author_Institution :
Clinical Centre, Nat. Inst. of Health, Bethesda, MD
Abstract :
We present a 3D multi-scale segmentation algorithm for vertebrae based on a cascade of level sets. We validated the performance of the algorithm in terms of accuracy, robustness and speed and compared it with its original single-scale version using a synthetic vertebra and a semi-synthetic one containing natural structured noise. The multi-scale algorithm was found to be 4 to 5 times faster and could be half a voxel more accurate than the single-scale algorithm. Synthetic vertebrae also allowed us to try a large number of level set parameters. Analysis of the results revealed trends about parameter combinations leading to leakage or under segmentation. After selecting a good set of parameters we tested the algorithm on 50 real vertebrae. The success rates were 90% and 80% respectively for the multi-scale and single-scale algorithms.
Keywords :
image segmentation; medical image processing; level sets; multiscale algorithm; segmentation; semisynthetic vertebra; synthetic vertebra; Government; Level set; Protection; Spine;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
DOI :
10.1109/ISBI.2007.356997