Automatic Segmentation of Structures in CT Head and Neck Images using a Coupled Shape Model
logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3543
The common approach to do a fully automatic segmentation of multiple structures is an atlas or multi-atlas based solution.
These already have proven to be suitable for the segmentation of structures in the head and neck area and provide very accurate segmentation results, but can struggle with challenging cases with unnatural postures, where the registration of the reference patient(s) is extremely difficult.
Therefore, we propose an coupled shape model (CoSMo) algorithm for the segmentation relevant structures in parallel. The model adaptation to a test image is done with respect to the appearance of its items and the trained articulation space. Even on very challenging data sets with unnatural postures, which occur far more often than expected, the model adaptation algorithm succeeds.
The approach is based on an articulated atlas cite{Steger2012a}, that is trained from a set of manually labeled training samples. Furthermore, we have combined the initial solution with statistical shape models cite{Kirschner2011} to represent structures with high shape variation. CoSMo is not tailored to specific structures or regions. It can be trained from any set of given gold standard segmentations and makes it thereby very generic.

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

Quick Comments


Resources
backyellow
Download All
Download Paper , View Paper

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

Information more
backyellow
Categories: Atlas-based segmentation, Point distribution models, Segmentation, Statistical shape models
Keywords: Coupled Shape Model, Automatic Segmentation
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
InsightToolkit Kinetic Analysis (itk::ka) Library InsightToolkit Kinetic Analysis (itk::ka) Library
by Dowson N., Baker C., Raffelt D., Smith J., Thomas P., Salvado O., Rose S.
A Multi-atlas Approach for the Automatic Segmentation of Multiple Structures in Head and Neck CT... A Multi-atlas Approach for the Automatic Segmentation of Multiple Structures in Head and Neck CT...
by Chen A., Dawant B.

Recommended Publications more
backyellow
ITK in Biomedical Research and Commercial Applications ITK in Biomedical Research and Commercial Applications
by McCormick M., Aylward S., Johnson H., Lowekamp B.
Multi Atlas Segmentation with Active Shape Model Refinement for Multi-Organ Segmentation in Head... Multi Atlas Segmentation with Active Shape Model Refinement for Multi-Organ Segmentation in Head...
by Albrecht T., Gass T., Langguth C., Lüthi M.

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas