Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): Detecting prostate cancer on multi-parametric MRI

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7963, Issue , 2011, Pages

  Viswanath, Satish ^a   Bloch, B Nicholas ^b   Chappelow, Jonathan ^a   Patel, Pratik ^a   Rofsky, Neil ^c   Lenkinski, Robert ^d   Genega, Elizabeth ^d   Madabhushi, Anant ^a  

^a RUTGERS UNIVERSITY   (United States)

^b BOSTON MEDICAL CENTER   (United States)

^c UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^d BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

Author keywords

3 Tesla; CAD; DCE MRI; DWI MRI; ensemble embedding; multi modal integration; multi parametric; multi protocol; non rigid registration; probabilistic boosting trees; prostate cancer; supervised learning; T2w MRI

Indexed keywords

3 TESLA; CAD; DCE-MRI; DWI-MRI; ENSEMBLE EMBEDDING; MULTI-MODAL; MULTI-PARAMETRIC; MULTIPROTOCOLS; NONRIGID REGISTRATION; PROBABILISTIC BOOSTING TREES; PROSTATE CANCER; T2W MRI;

COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; DISEASES; INTEGRATION; MEDICAL IMAGING; PLANT EXTRACTS; RESONANCE; TREES (MATHEMATICS);

MAGNETIC RESONANCE IMAGING;

EID: 79955749335     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878312     Document Type: Conference Paper

References (32)

1. Lee, G., Doyle, S., Monaco, J., Madabhushi, A., Feldman, M. D., Master, S. R., and Tomaszewski, J. E., "A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology," in [Proc. ISBI], 77-80 (2009).
2. Viswanath, S., Bloch, B., Rosen, M., Chappelow, J., Toth, R., Rofsky, N., Lenkinski, R. E., Genega, E., Kalyanpur, A., and Madabhushi, A., "Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI," in [SPIE Medical Imaging : Computer- Aided Diagnosis], 7260, 72603I (2009).
3. Kitajima, K., Kaji, Y., Fukabori, Y., Yoshida, K. I., Suganuma, N., and Sugimura, K., "Prostate cancer detection with 3 T MRI: Comparison of diffusion-weighted imaging and dynamic contrast-enhanced MRI in combination with T2-w imaging," J Magn Reson Imaging 31(3), 625-631 (2010).
4. Chappelow, J., Bloch, B., Genega, E., Rofsky, N., Lenkinski, R., Tomaszewski, J., Feldman, M., Rosen, M., and Madabhushi, A., "Elastic Registration of Multimodal Prostate MRI and Histology via Multi-Attribute Combined Mutual Information," Medical Physics Accepted (2010).
5. Chappelow, J., Bloch, B., Rofsky, N., Genega, E., Lenkinski, R., DeWolf, W., Viswanath, S., and Madabhushi, A., "COLLINARUS: Collection of Image-derived Non-linear Attributes for Registration Using Splines," in [Proc. SPIE], 7259 (2009).
6. Madabhushi, A., Feldman, M. D., Metaxas, D. N., Tomaszeweski, J., and Chute, D., "Automated Detection of Prostatic Adenocarcinoma from High-Resolution Ex Vivo MRI," Medical Imaging, IEEE Transactions on 24(12), 1611-1625 (2005). (Pubitemid 41812028)
7. Shi, J. and Malik, J., "Normalized Cuts and Image Segmentation," Pattern Analysis and Machine Intelligence, IEEE Transactions on 22(8), 888-905 (2000).
8. Viswanath, S., Rosen, M., and Madabhushi, A., "A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery," in [Proc. SPIE], 6915, 69150U-12 (2008).
9. Viswanath, S., Bloch, B., Genega, E., Rofsky, N., Lenkinski, R., Chappelow, J., Toth, R., and Madabhushi, A., "A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In Vivo Prostate DCE-MRI," in [Proc. MICCAI], 662-669 (2008).
10. Lee, G., Rodriguez, C., and Madabhushi, A., "Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene- and Protein-Expression Studies," Computational Biology and Bioinformatics, IEEE Transactions on 5(3), 1-17 (2008).
11. Lanckriet, G. R., Deng, M., Cristianini, N., Jordan, M. I., and Noble, W. S., "Kernel-based data fusion and its application to protein function prediction in yeast," in [Pac Symp Biocomput], 300-11 (2004).
12. Verma, R., Zacharaki, E., Ou, Y., Cai, H., Chawla, S., Lee, S., Melhem, E., Wolf, R., and Davatzikos, C., "Multiparametric Tissue Characterization of Brain Neoplasms and Their Recurrence Using Pattern Classification of MR Images," Academic Radiology 15(8), 966-977 (2008). (Pubitemid 351938736)
13. Chan, I., Wells III, W., Mulkern, R., Haker, S., Zhang, J., Zou, K., Maier, S., and Tempany, C., "Detection of prostate cancer by integration of line-scan diffusion, T2-mapping and T2-w magnetic resonance imaging; a multichannel statistical classifier," Medical Physics 30(6), 2390-2398 (2003). (Pubitemid 37129745)
14. Liu, X., Langer, D. L., Haider, M. A., Yang, Y., Wernick, M. N., and Yetik, I. S., "Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class," Medical Imaging, IEEE Transactions on 28(6), 906-915 (2009).
15. Artan, Y., Haider, M. A., Langer, D. L., van der Kwast, T. H., Evans, A. J., Yang, Y., Wernick, M. N., Trachtenberg, J., and Yetik, I. S., "Prostate cancer localization with multispectral MRI using cost-sensitive support vector machines and conditional random fields," Image Processing, IEEE Transactions on 19(9), 2444-55 (2010).
16. Ozer, S., Langer, D. L., Liu, X., Haider, M. A., van der Kwast, T. H., Evans, A. J., Yang, Y., Wernick, M. N., and Yetik, I. S., "Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI," Medical Physics 37(4), 1873-1883 (2010).
17. Zelnik-Manor, L. and Perona, P., "Self-tuning spectral clustering," in [Advances in Neural Information Processing Systems], 17, 1601-1608, MIT Press (2004).
18. Freund, Y. and Schapire, R., "A decision-theoretic generalization of on-line learning and an application to boosting," in [Proc. 2nd European Conf. Computational Learning Theory], 23-37, Springer-Verlag (1995).
19. Breiman, L., "Bagging predictors," Machine Learning 24(2), 123-140 (1996). (Pubitemid 126724382)
20. Hou, C., Zhang, C., Wu, Y., and Nie, F., "Multiple view semi-supervised dimensionality reduction," Pattern Recognition 43(3), 720-730 (2009).
21. Athitsos, V., Alon, J., Sclaroff, S., and Kollios, G., "Boostmap: An embedding method for efficient nearest neighbor retrieval," IEEE Transactions on Pattern Analysis and Machine Intelligence 30(1), 89-104 (2008). (Pubitemid 350168358)
22. Venna, J. and Kaski, S., "Local multidimensional scaling," Neural Networks 19(6), 889-899 (2006). (Pubitemid 44148947)
23. Xiao, G., Bloch, B., Chappelow, J., Genega, E., Rofsky, N., Lenkinski, R., Tomaszewski, J., Feldman, M., Rosen, M., and Madabhushi, A., "Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer," Computerized Medical Imaging and Graphics In Press, Corrected Proof (2010).
24. Madabhushi, A. and Udupa, J. K., "New methods of MR image intensity standardization via generalized scale," Medical Physics 33(9), 3426-34 (2006). (Pubitemid 44327446)
25. Bartolozzi, C., Menchi, I., Lencioni, R., Serni, S., Lapini, A., Barbanti, G., Bozza, A., Amorosi, A., Manganelli, A., and Carini, M., "Local staging of prostate carcinoma with endorectal coil MRI: correlation with whole-mount radical prostatectomy specimens," European Radiology 6, 339-345 (1996). (Pubitemid 126458081)
26. Tu, Z., "Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering," in [Proc. IEEE ICCV], 1589-1596 (2005). (Pubitemid 44042367)
27. Levina, E. and Bickel, P., "Maximum likelihood estimation of intrinsic dimension," in [Adv. NIPS], 17, 777-784 (2005).
28. Tiwari, P., Rosen, M., Reed, G., Kurhanewicz, J., and Madabhushi, A., "Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data," in [Proc. MICCAI], 12, 844-51 (2009).
29. Monaco, J., Tomaszewski, J., Feldman, M., Hagemann, I., Moradi, M., Mousavi, P., Boag, A., Davidson, C., Abolmaesumi, P., and Madabhushi, A., "High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models," Medical Image Analysis 14(4), 617-629 (2010).
30. Potts, R., "Some generalized order-disorder transformations," in [Mathematical Proceedings of the Cambridge Philosophical Society ], 48(01), 106-109 (1952).
31. Kurhanewicz, J., Vigneron, D., Carroll, P., and Coakley, F., "Multiparametric magnetic resonance imaging in prostate cancer: present and future," Curr Opin Urol 18(1), 71-7 (2008). (Pubitemid 350307535)
32. Chen, M., Dang, H. D., Wang, J. Y., Zhou, C., Li, S. Y., Wang, W. C., Zhao, W. F., Yang, Z. H., Zhong, C. Y., and Li, G. Z., "Prostate cancer detection: comparison of T2-weighted imaging, diffusionweighted imaging, proton magnetic resonance spectroscopic imaging, and the three techniques combined," Acta Radiol 49(5), 602-10 (2008).