Robust linear registration of CT images using random regression forests

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7962, Issue , 2011, Pages

  Konukoglu, Ender ^a   Criminisi, Antonio ^a   Pathak, Sayan ^b   Robertson, Duncan ^a   White, Steve ^b   Haynor, David ^c   Siddiqui, Khan ^b  

^a MICROSOFT RESEARCH   (United Kingdom)

^b MICROSOFT   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

CT images; Kullback Leibler; Mutual Information; Random Forests; Registration; Regression

Indexed keywords

CT IMAGE; KULLBACK-LEIBLER; MUTUAL INFORMATIONS; RANDOM FORESTS; REGISTRATION; REGRESSION;

ALGORITHMS; DECISION TREES; IMAGE PROCESSING; IMAGING SYSTEMS; MEDICAL IMAGING; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; THREE DIMENSIONAL;

COMPUTERIZED TOMOGRAPHY;

EID: 79958016701     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878085     Document Type: Conference Paper

References (13)

1. Hill, D., Batchelor, P.,et al., "Medical image registration," Phys. Med. Biol. 46, (2001).
2. Wein, W., Brunke,et al., "Automatic CT-Ultrasound registration for diagnostic imaging and image-guided intervention," MedIA. 12, (2008)
3. Commowick, O., Arsigny, N., et al., "An efficient locally affine framework for the smooth registration of anatomical structures," MedIA. 12, (2008).
4. Chan, H.M., Chung, A., et al., "Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms." Proc. CVPR (2003).
5. D'Agostino, E., Maes. F., et al., "An information theoretic approach for non-rigid image registration using voxel class probabilities," MedIA. 10, (2006).
6. Criminisi, A., Shotton, J., et al., "Regression Forests for efficient anatomy detection and localization in CT studies," MICCAI-MCV Workshop, (2010).
7. Klein, S., Staring., M., et al., "Elastix: a toolbox for intensity based medical image registration", IEEE TMI, 29, (2010).
8. Wells, W., Viola, P., et al., "Multi-modal volume registration by maximization of mutual information," MedIA. 1 (1996).
9. M.J.D. Powell, "The BOBYQA algorithm for bound constrained optimization without derivatives," Dep. App. Math. and Th. Physics, Cambridge, England, technical report NA2009/06, (2009).
10. Ou, Y., Davatzikos, C.: Dramms, "Deformable registration via attributed matching and mutual-saliency weighting," Proc. IPMI (2009)
11. Pohl, K., Fisher, J., Grimson, W., Kikinis, R., Wells, W., "A Bayesian model for joint segmentation and registration," Neuroimage, 31, (2006).
12. Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A., "Mutual-information- based registration of medical images: a survey," IEEE TMI, 22,(2003).
13. Bordes, A., Bottour, L., Gallinari,. P., "SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent," JMLR, 10, (2009).