Paper
5 March 2007 Level sets on non-planar manifolds for ridge detection on isosurfaces
Sovira Tan, Jianhua Yao, Michael M. Ward M.D., Lawrence Yao M.D., Ronald M. Summers M.D.
Author Affiliations +
Abstract
We describe an algorithm for evolving a level set on a non-planar manifold like the isosurface of a 3D object. The surface is represented by a triangular mesh and the feature that guides our level set via a speed function is its curvature. We overcome the difficulty of computing the gradient and curvature of the level set distance function on a non-planar, non-Cartesian mesh by performing the calculations locally in neighborhoods small enough to be considered planar. Moreover we use a least squares estimation of derivatives to replace finite differences and achieve better accuracy. The algorithm was motivated by our need to detect the ridge lines of vertebral bodies. The advantage of using level sets is that they are capable of producing a continuous ridge line despite noise and gaps in the ridge. We tested our algorithm on 40 vertebral bodies (80 ridge lines). 76 ridge lines showed no noticeable mistakes. The same set of parameters was used. For the remaining 4, we had to change the parameters of the speed function sigmoid to correct small under- or over-segmenting. To further test our algorithm we designed a synthetic surface with large curvature and to which we added noise and a ridge. The level set was able to evolve on the surface and stop at the ridge. Tests on synthetic cylinders with a ground truth ridge and to which we added noise indicate that the level set has good accuracy.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sovira Tan, Jianhua Yao, Michael M. Ward M.D., Lawrence Yao M.D., and Ronald M. Summers M.D. "Level sets on non-planar manifolds for ridge detection on isosurfaces", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651230 (5 March 2007); https://doi.org/10.1117/12.708217
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Cited by 2 scholarly publications.
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KEYWORDS
Ridge detection

Optical spheres

Image segmentation

3D image processing

Control systems

Image processing

Image processing algorithms and systems

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