A Statistical Deformation Model (SDM) based regularizer for non-rigid image registration: Application to registration of multimodal prostate MRI and histology

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8676, Issue , 2013, Pages

  Prabu, Srivathsan Babu ^a   Toth, Robert ^a   Madabhushi, Anant ^b  

^a RUTGERS UNIVERSITY   (United States)

^b Case Western Reserve University   (United States)

Author keywords

Deformation; Digital pathology; Free form deformation; MRI; Pathology; Prostate cancer; Radiology; Registration; Regularizer; SDM

Indexed keywords

DIGITAL PATHOLOGIES; FREE-FORM DEFORMATION; PROSTATE CANCERS; REGISTRATION; REGULARIZER; SDM;

DISEASES; HISTOLOGY; IMAGE REGISTRATION; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; PATHOLOGY; RADIOLOGY; UROLOGY;

DEFORMATION;

EID: 84878608475     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2008707     Document Type: Conference Paper

References (25)

1. Bloch, B., Furman-Haran, E., Helbich, T., Lenkinski, R., Degani, H., Kratzik, C., Susani, M., Haitel, A., Jaromi, S., Ngo, L., and Rofsky, N., "Prostate cancer: Accurate determination of extracapsular extension with high-spatial-resolution dynamic contrast-enhanced and t2-weighted mr imaging initial results," Radiology 245, 176-185 (2007).
2. Langer, D., van der Kwast, T., Evans, A., Trachtenberg, J., Wilson, B., and Haider, M., "Prostate cancer detection with multiparametric mri: Logistic regression analysis of quantitative t2, diffusion-weighted imaging, and dynamic contrast-enhanced mri," Journal of Magnetic Resonance Imaging 30, 327-334 (2009).
3. Tiwari, P., Rosen, M., and Madabhushi, A., "A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (mrs)," Medical Physics 36, 3927-3939 (2009).
4. Moradi, M., Mousavi, P., and Abolmaesumi, P., "Computer-aided diagnosis of prostate cancer with emphasis on ultrasound-based approaches: a review," Ultrasound in Medicine and Biology 33, 888-899 (2007).
5. Chappelow, J., Bloch, B., Rofsky, N., Genega, E., Lenkinski, R., DeWolf, W., and Madabhushi, A., "Elastic registration of multimodal prostate mri and histology via multiattribute combined mutual information," Medical Physics 38, 2005-2018 (2011).
6. 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 de ning mri-based disease signatures of prostate cancer," Computer Medical Imaging and Graphics 35, 568-578 (2011).
7. Madabhushi, A., M., F., Metaxas, D., Tomasezweski, J., and Chute, D., "Automated detection of prostatic adenocarcinoma from high-resolution ex vivo mri," IEEE Transactions on Medical Imaging 24, 1611-1625 (2005).
8. Modersitzki, J., [Numerical Methods for Image Registration], Oxford University Press (2004).
9. Zitova, B. and Flusser, J., "Image registration methods: a survey," Image and Vision Computing 21, 977-1000 (2003).
10. Rueckert, D., Sonoda, L., Hayes, C., Hill, D., Leach, M., and Hawkes, D., "Nonrigid registration using free-form deformations: application to breast mr images," Medical Imaging, IEEE Transactions on 18, 712-721 (1999).
11. Paquin, D., Levy, D., and Xing, L., "Multiscale deformable registration of noisy medical images," Mathematical Biosciences 5, 125-144 (2008).
12. Thirion, J., "Image matching as a diffusion process: an analogy with maxwell's demons," Medical Image Analysis 2, 243-260 (1998).
13. Cootes, T. F., Taylor, C. J., Cooper, D. H., and Graham, J., "Active shape models - their training and application," Computer Vision and Image Understanding 61, 28-59 (1995).
14. Rueckert, D., Frangi, A., and Schnabel, J., "Automatic construction of 3d statistical deformation models using non-rigid image registration," in [MICCAI], 6915, 6915V (2001).
15. Albrecht, T., Luthi, M., and Vetter, T., "A statistical deformation prior for non-rigid image and shape registration," in [CVPR], 6915, 6915V (2008).
16. Kim, M., Kim, M., and Shen, D., "Learning-based deformation estimation for fast non-rigid registration," in [MMBIA], 6915, 6915V (2008).
17. Xue, Z., Shen, D., and Davatzikos, C., "Statistical representation of high-dimensional deformation fields with application to statistically constrained 3d warping," Medical Image Analysis 10, 740-751 (2006).
18. Park, H., Kwee, S., Thibault, G., Stack, R., Sesterhenn, I., Potter, K., and Meyer, C., "Registration methods for histological slides and ex vivo mri of prostate," IEEE Nuclear Science Symposium Conference Record 4, 3102-3104 (2007).
19. Park, H., Piert, M., Khan, A., Shah, R., Hussain, J., Siddiqui, J., Chenevert, T., and Meyer, C., "Registration methodology for histological sections and in vivo imaging of human prostate," Academic Radiology 15, 1027-1039 (2008).
20. Meyer, C. R., Moffat, B. A., Kuszpit, K. K., Bland, P. L., Chenevert, T., Rehemtulla, A., and Ross, B. D., "A methodology for registration of a histological slide and in vivo mri volume based on optimizing mutual information," Molecular Imaging 5, 16-23 (2006).
21. Zhan, Y., Ou, Y., Feldman, M., Tomasezweski, J., and Davatzikos, C., "Registering histologic and mr images of prostate for image-based cancer detection," Academic Radiology 14, 1367-1381 (2007).
22. Patel, P., Chappelow, J., Tomasezweski, J., M., F., Rosen, M., Shih, N., and Madabhushi, A., "Spatially weighted mutual information (swmi) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate mri," in [IEEE Engineering in Medicine and Biology], (2011).
23. "http://www.bic.mni.mcgill.ca/brainweb/."
24. Chappelow, J., Tomasezweski, J., M., F., Shih, N., and Madabhushi, A., "Histostitcher: an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments," Computer Medical Imaging and Graphics 35, 557-567 (2011).
25. Chappelow, J., Madabhushi, A., Rosen, M., Tomasezweski, J., and Feldman, M., "Multimodal image registration of ex vivo 4 tesla mri with whole mount histology for prostate cancer detection," in [SPIE Medical Imaging], 6915, 6915V (2007).