Histogram-based classification with gaussian mixture modeling for GBM tumor treatment response using ADC map

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7260, Issue , 2009, Pages

  Huo, Jing ^a   Kim, Hyun J ^a   Pope, Whitney B ^a   Okada, Kazunori ^b   Alger, Jeffery R ^a,c   Wang, Yang ^a   Goldin, Jonathan G ^a   Brown, Matthew S ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SAN FRANCISCO STATE UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

AdaBoost; ADC; GBM; GMM EM; Histogram; Random forest

Indexed keywords

ADABOOST; ADC; GBM; GMM-EM; HISTOGRAM; RANDOM FOREST;

ADAPTIVE BOOSTING; CHEMOTHERAPY; DIELECTRIC WAVEGUIDES; EDUCATION; IMAGE SEGMENTATION; MAGNETOSTRICTIVE DEVICES; MEDICAL IMAGING; MULTICARRIER MODULATION; SURFACE DIFFUSION; TUMORS;

COMPUTER AIDED DIAGNOSIS;

EID: 66749108782     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.812923     Document Type: Conference Paper

References (13)

1. Ross, B.D., Moffat, B.A., Lawrence, T.S., Mukherji, S.K., Gebarski, S.S., Quint, D.J., Johnson, T.D., Junck, L. and Robertson, P.L., Muraszko K.M., Dong Q., Meyer C.R., Bland P.H., McConville P., Geng H., Rehemtulla A., Chenevert T.L., "Evaluation of cancer therapy using diffusion magnetic resonance imaging", Molecular Cancer Therapeutics 2(6), 581-587 (2003).
2. Chenevert, T.L., Stegman, L.D., Taylor, J.M., Robertson, P.L., Greenberg, H.S., Rehemtulla, A. and Ross, B.D., "Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors", Journal of the National Cancer Institute 92(24), 2029-2036 (2000). (Pubitemid 32045900)
3. Moffat, B.A., Chenevert, T.L., Meyer, C.R., Mckeever, P.E., Hall, D.E., Hoff, B.A., Johnson, T.D., Rehemtulla, A. and Ross, B.D., "The Functional Diffusion Map: An Imaging Biomarker for the Early Prediction of Cancer Treatment Outcome", Neoplasia 8(4), 259-267 (2006).
4. Huo, J., Pope, W.B., Okada, K., Brown, M.S., Kim, H.J., Alger, J.R., Wang, Y and Goldin, J.G., "Early Detection of Treatment Response for GBM Brain Tumor using ADC Map of DW-MRI", Proc MICCAI 2008 workshop onComputational Diffusion MRI, 183-190 (2008).
5. Pope, W.B., Kim, H.J., Huo, J, Alger, J.R., Brown, M.S., Gjertson, D., Sai, V., Lai, A., Nghiemphu, P., Cloughesy, T. and Goldin, J.G., "ADC histogram analysis predicts response to bevacizumab treatment in GBM patients". Accepted to Radiology on Jan 12th (2009).
6. Duda, R.O., Hart, P.E. and Stork, D.H., [Pattern classification], Wiley Interscience, (2000).
7. Otsu, N., "A threshold selection method from gray level histograms", IEEE transactions on Systems, Man and Cybernetics 9(1), 62-66 (1979). (Pubitemid 9413341)
8. Rubner, Y., Tomasi, C. and Guibas, L.J., "A metric for distributions with applications to image databases", Proceedings of ICCV, 59-66 (1998).
9. Ling, H. and Okada, K., "An Efficient Earth Mover's Distance Algorithm for Robust Histogram Comparison", IEEE transactions on Pattern Analysis and Machine Intelligence 29(5), 840-853 (2007). (Pubitemid 46534780)
10. Freund, Y. and Schapire, R.E., "A short introduction to boosting", Journal of Japanese Society for Artificial Intelligence 14, 771-780 (1999).
11. Ho, T.K., "Random decision forest", Proc of the 3rd International Conference on Document Analysis and Recognition, 278-282 (1995).
12. Breiman, L., "Random decision forest", Machine Learning 45, 5-32 (2001).
13. Witten, I.H. and Frank, E., [Data Mining: Practical machine learning tools and techniques], Morgan Kaufmann, San Francisco, (2005).