Automated lung nodule segmentation using dynamic programming...

Details Automated lung nodule segmentation using dynamic programming... Automated lung nodule segmentation using dynamic programming...

2005-04-19

2005-04-19

Mehta, Bhavesh M. (Department: 2625)

Image analysis

Applications

Biomedical applications

C382S173000, C382S177000

Reexamination Certificate

active

06882743

ABSTRACT:
There is provided a method for automatically segmenting lung nodules in a three-dimensional (3D) Computed Tomography (CT) volume dataset. An input is received corresponding to a user-selected point near a boundary of a nodule. A model is constructed of the nodule from the user-selected point, the model being a deformable circle having a set of parameters β that represent a shape of the nodule. Continuous parts of the boundary and discontinuities of the boundary are estimated until the set of parameters β converges, using dynamic programming and Expectation Maximization (EM). The nodule is segmented, based on estimates of the continuous parts of the boundary and the discontinuities of the boundary.

REFERENCES:
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patent: 6078680 (2000-06-01), Yoshida et al.
patent: 6141437 (2000-10-01), Xu et al.
patent: 6760468 (2004-07-01), Yeh et al.
patent: 6766043 (2004-07-01), Zeng et al.

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