CRKIT
Software Name CRKIT - Computational Radiology Kit
Description CRKIT (Computational Radiology Kit) is a collection of algorithms and image processing tools developed by the Computational Radiology Laboratory team. This package includes STAPLE.
Acknowledgements The project described was supported by Award Number R01 RR021885 from the National Center For Research Resources, and by an award from the Neuroscience Blueprint I/C through R01 EB008015 from the National Institute of Biomedical Imaging and Bioengineering.

NITRC

 

Related papers

1. T Rohlfing, R Brandt, R Menzel, and C. R. Maurer, Jr. 2004. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains. Neuroimage 21 (4):1428-42. [WWW]

2. T Rohlfing, D B Russakoff, and C R Maurer, Jr. 2004. Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation. IEEE Trans Med Imaging 23 (8):983-94. [WWW]

3. S K Warfield, K H Zou, and W M Wells. 2004. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans Med Imaging 23 (7):903-21. [WWW] [PDF]

4. S K Warfield, K H Zou, and W M Wells. 2006. Validation of image segmentation by estimating rater bias and variance. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv 9 (Pt 2):839-47. [WWW]

5. S K Warfield, K H Zou, and W M Wells. 2008. Validation of image segmentation by estimating rater bias and variance. Philos Transact A Math Phys Eng Sci 366 (1874):2361-75. [WWW] [PDF]

Download Current Version: 1.6.0(Aug 21th, 2015, Revision 2257) 64 bit, uploaded on Sept 22nd, 2015
Windows(Tested on Windows 7 Only)
Mac(Tested on Mavericks only)
Linux(RHEL/Debian)
Tutorial CRKit version 1.6.0 Tutorial : (Coming Soon)
A Tutorial Introduction to STAPLE : Tutorial
Author Simon K. Warfield, Ph.D.
Email simon.warfield@childrens.harvard.edu