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3D Segmentation of the Prostate via Poisson Inverse Gradient Initialization | IEEE Conference Publication | IEEE Xplore

3D Segmentation of the Prostate via Poisson Inverse Gradient Initialization


Abstract:

Accurate segmentation and volumetric assessment of the enlarged prostate is critical to assessment of cancer progression. Moreover, 3D segmentation is necessary for treat...Show More

Abstract:

Accurate segmentation and volumetric assessment of the enlarged prostate is critical to assessment of cancer progression. Moreover, 3D segmentation is necessary for treatment in both radiotherapy and brachytherapy. We propose a 3D segmentation solution for ultrasound images of the prostate based on deformable surfaces. The deformable surfaces are propelled by the vector field convolution (VFC) external force model. This external force has both computational efficiency and solution quality advantages over existing techniques such as gradient vector flow (GVF). A salient aspect of the segmentation solution proposed here is the ability to automatically initialize the deformable surface in 3D. The initialization method exploits a novel Poisson inverse gradient technique that essentially solves the inverse problem from the external force field to the external energy and determines the most likely coarse segmentation. We validate our 3D segmentation on simulated images of the prostate. Furthermore, simulated data show that PIG initialization leads to a 60% reduction in segmentation error for high curvature contours.
Date of Conference: 16 September 2007 - 19 October 2007
Date Added to IEEE Xplore: 12 November 2007
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Conference Location: San Antonio, TX, USA

References

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