Abstract
Early and accurate diagnosis of prostate cancer enables minimally invasive therapies to cure the cancer with less morbidity. The purpose of this work is to non-rigidly register in vivo pre-prostatectomy prostate medical images to regionally-graded histopathology images from post-prostatectomy specimens, seeking a relationship between the multi parametric imaging and cancer distribution and aggressiveness. Our approach uses image-based registration in combination with a magnetically tracked probe to orient the physical slicing of the specimen to be parallel to the in vivo imaging planes, yielding a tractable 2D registration problem. We measured a target registration error of 0.85 mm, a mean slicing plane marking error of 0.7 mm, and a mean slicing error of 0.6 mm; these results compare favourably with our 2.2 mm diagnostic MR image thickness. Qualitative evaluation of in vivo imaging-histopathology fusion reveals excellent anatomic concordance between MR and digital histopathology.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Canadian Cancer Society’s steering committee: Canadian Cancer Statistics 2009. Canadian Cancer Society, Toronto (2009)
Horner, M.J., Ries, L.A.G., Krapcho, M., Neyman, N., Aminou, R., Howlader, N., Altekruse, S.F., Feuer, E.J., Huang, L., Mariotto, A., Miller, B.A., Lewis, D.R., Eisner, M.P., Stinchcomb, D.G., Edwards, B.K. (eds.): SEER Cancer Statistics Review, 1975-2006. National Cancer Institute, Bethesda (2009), http://seer.cancer.gov/csr/1975_2006/
LaSpina, M., Haas, G.P.: Update on the diagnois and management of prostate cancer. Canadian Journal of Urology 15(suppl. 1), 3–13 (2008) (discussion 13)
Leite, K.R.M., Camara-Lopes, L.H.A., Dall’Oglio, M.F., Cury, J., Antunes, A.A., Sanudo, A., Srougi, M.: Upgrading the Gleason score in extended prostate biopsy: Implications for treatment choice. International Journal of Radiation Oncology Biology Physics 73, 353–356 (2009)
Ahmed, H.U., Kirkham, A., Arya, M., Illing, R., Freeman, A., Allen, C., Emberton, M.: Is it time to consider a role for MRI before prostate biopsy? Nature Reviews Clinical Oncology 6, 197–206 (2009)
Bax, J., Cool, D., Gardi, L., Knight, K., Smith, D., Montreuil, J., Sherebrin, S., Romagnoli, C., Fenster, A.: Mechanically assisted 3D ultrasound guided prostate biopsy system. Medical Physics 35(12), 5397–5410 (2008)
Cool, D., Sherebrin, S., Izawa, J., Chin, J., Fenster, A.: Design and evaluation of a 3D transrectal ultrasound prostate biopsy system. Medical Physics 35(10), 4695–4707 (2008)
Krieger, A., Susil, R.C., Ménard, C., Coleman, J.A., Fichtinger, G., Atalar, E., Whitcomb, L.L.: Design of a novel MRI compatible manipulator for image guided prostate interventions. IEEE Transactions on Biomedical Engineering 52(2), 306–313 (2005)
Polascik, T.J., Mouraviev, V.: Focal therapy for prostate cancer. Current Opinion in Urology 18(3), 269–274 (2008)
Rouvire, O., Reynolds, C., Hulshizer, T., Rossman, P., Le, Y., Felmlee, J.P., Ehman, R.L.: Mr histological correlation: A method for cutting specimens along the imaging plane in animal or ex vivo experiments. Journal of Magnetic Resonance Imaging 23, 60–69 (2006)
Shah, V., Pohida, T., Turkbey, B., Mani, H., Merino, M., Pinto, P., Choykey, P., Bernardo, M.: A method for correlating in vivo prostate magnetic resonance imaging and histopathology using individualized magnetic resonance-based molds. Review of Scientific Instruments 80, 104301 (2009)
Ourselin, S., Roche, A., Prima, A., Ayache, N.: Block matching: A general framework to improve robustness of rigid registration of medical images. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 557–566. Springer, Heidelberg (2001)
Bookstein, F.L.: Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence 11(6), 567–585 (1989)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ward, A.D. et al. (2010). Registration of In Vivo Prostate Magnetic Resonance Images to Digital Histopathology Images. In: Madabhushi, A., Dowling, J., Yan, P., Fenster, A., Abolmaesumi, P., Hata, N. (eds) Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention. Prostate Cancer Imaging 2010. Lecture Notes in Computer Science, vol 6367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15989-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-15989-3_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15988-6
Online ISBN: 978-3-642-15989-3
eBook Packages: Computer ScienceComputer Science (R0)