Difference between revisions of "Analysis of different atlas-based segmentation techniques for parotid glands"

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==References==
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[1] Peroni M, Methods and Algorithms for Image Guided Adaptive Radio- and Hadron Therapy.  PhD Thesis, Politecnico di Milano, 2011
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[2] Fritscher KD, Gruenerbl A, Schubert R, 3D image segmentation using combined shape-intensity prior models. Journal of Computer Assisted Radiology and Surgery, 2007;1:341–350

Revision as of 15:09, 3 June 2013

Home < Analysis of different atlas-based segmentation techniques for parotid glands


Key Investigators

  • MIT: Christian Wachinger
  • MGH: Karl Fritscher, Greg Sharp

Objective

Our goal is to investigate various segmentation approaches for identifying parotid glands on head and neck CT images. The focus will be on atlas-based methods, which exploit the information from a number of previously labeled images. Several different strategies exist on how to employ this prior information to achieve the segmentation.


Plan

We will try to work out the differences in terms of parameterization and regularization of various atlas-based methods. We will further try to characterize properties of such methods for the segmentation of parotid glands, which show high structural variability. Finally, we would like to investigate, which combination of methods may be promising.


References

[1] Peroni M, Methods and Algorithms for Image Guided Adaptive Radio- and Hadron Therapy. PhD Thesis, Politecnico di Milano, 2011 [2] Fritscher KD, Gruenerbl A, Schubert R, 3D image segmentation using combined shape-intensity prior models. Journal of Computer Assisted Radiology and Surgery, 2007;1:341–350

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