Segmentation of Head and Neck CT Scans Using Atlas-based Level Set Method

Please use this identifier to cite or link to this publication:
In this paper, we present an atlas-based level set automatic method for segmenting anatomical structures in head and neck CT data, such as mandible and brainstem. The proposed method is a hybrid method that combines two aspects. First, we register the atlas image to the image to be segmented using an intensity-based non-rigid image registration algorithm based on B-spline, the corresponding binary image of the atlas is also resampled into the reference image coordinate system according to the deformation field obtained from the registration process. Second, based on the initialization of the deformed atlas binary mask, the level set function is evolved to segment the object of interest in the test image. The proposed method was tested on CT images of head and neck and compared with expert segmentation of mandible and brainstem. The evaluation results show the method is available and effective.

There is no review at this time. Be the first to review this publication!

Quick Comments

Download All
Download Paper , View Paper

Statistics more
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Paper Quality: plus minus

Information more
Categories: Atlas-based segmentation, Deformable registration, Level sets, Registration, Segmentation
Keywords: segmentation, registration, atlas, B-spline, level set, shape prior
Export citation:


Linked Publications more
Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy
by Vercauteren T., Pennec X., Perchant A., Ayache N.
A Distributed Software Framework for Robotic Surgery A Distributed Software Framework for Robotic Surgery
by Staub C., Ning Y., Can S., Knoll A.

View license
Loading license...

Send a message to the author
Powered by Midas