Abstract
One in 10 men will be diagnosed with prostate cancer during their life. PSA screening in combination with MR is likely to save lifes at low biopsy and overtreatment rates. Computer Aided Diagnosis for prostate MR will become mandatory in a high volume screening application. This paper presents an overview including our recent work in this area. It includes screening MR setup, quantitative imaging features, prostate segmentation, and pattern recognition.
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.
References
Fütterer, J.J., Heijmink, S.W.T.P.J., Scheenen, T.W.J., Veltman, J., Huisman, H.J., Vos, P., Hulsbergen-Van de Kaa, C.A., Witjes, J.A., Krabbe, P.F.M., Heerschap, A., Barentsz, J.O.: Prostate cancer localization with dynamic contrast-enhanced MR imaging and proton MR spectroscopic imaging. Radiology 241(2), 449–458 (2006)
Hambrock, T., Somford, D.M., Hoeks, C., Bouwense, S.A.W., Huisman, H., Yakar, D., van Oort, I.M., Witjes, J.A., Fütterer, J.J., Barentsz, J.O.: Magnetic resonance imaging guided prostate biopsy in men with repeat negative biopsies and increased prostate specific antigen. J. Urol. 183(2), 520–527 (2010)
Hittmair, K., Gomiscek, G., Langenberger, K., Recht, M., Imhof, H., Kramer, J.: Method for the quantitative assessment of contrast agent uptake in dynamic contrast-enhanced MRI. Magn. Reson. Med. 31(5), 567–571 (1994)
Hricak, H., Dooms, G.C., McNeal, J.E., Mark, A.S., Marotti, M., Avallone, A., Pelzer, M., Proctor, E.C., Tanagho, E.A.: MR imaging of the prostate gland: normal anatomy. AJR Am. J. Roentgenol. 148(1), 51–58 (1987)
Hu, Y., Ahmed, H.U., Allen, C., Pends, D., Sahu, M., Emberton, M., Hawkes, D., Barratt, D.: Mr to ultrasound image registration for guiding prostate biopsy and interventions. Med. Image Comput. Comput. Assist. Interv. 12(Pt 1), 787–794 (2009)
Huisman, H.J., Engelbrecht, M.R., Barentsz, J.O.: Accurate estimation of pharmacokinetic contrast-enhanced dynamic MRI parameters of the prostate. Journal of Magnetic Resonance Imaging 13(4), 607–614 (2001)
Huisman, H.J., Fütterer, J.J., van Lin, E.N.J.T., Welmers, A., Scheenen, T.W.J., van Dalen, J.A., Visser, A.G., Witjes, J.A., Barentsz, J.O.: Prostate cancer: precision of integrating functional MR imaging with radiation therapy treatment by using fiducial gold markers. Radiology 236(1), 311–317 (2005)
Klein, S., van der Heide, U.A., Lips, I.M., van Vulpen, M., Staring, M., Pluim, J.P.W.: Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information. Medical Physics 35(4), 1407–1417 (2008)
Kovar, D.A., Lewis, M., Karczmar, G.S.: A new method for imaging perfusion and contrast extraction fraction: input functions derived from reference tissues. J. Magn. Reson. Imaging 8(5), 1126–1134 (1998)
Li, Q., Sone, S., Doi, K.: Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. Medical Physics 30(8), 2040–2051 (2003)
Roobol, M.J., Steyerberg, E.W., Kranse, R., Wolters, T., van den Bergh, R.C.N., Bangma, C.H., Schröder, F.H.: A risk-based strategy improves prostate-specific antigen-driven detection of prostate cancer. Eur. Urol. 57(1), 79–85 (2010)
Schröder, F.H., Hugosson, J., Roobol, M.J., Tammela, T.L.J., Ciatto, S., Nelen, V., Kwiatkowski, M., Lujan, M., Lilja, H., Zappa, M., Denis, L.J., Recker, F., Berenguer, A., Mttnen, L., Bangma, C.H., Aus, G., Villers, A., Rebillard, X., van der Kwast, T., Blijenberg, B.G., Moss, S.M., de Koning, H.J., Auvinen, A., E. R. S. P. C. Investigators: Screening and prostate-cancer mortality in a randomized european study. N. Engl. J. Med. 360(13), 1320–1328 (2009)
Stoutjesdijk, M.J., Veltman, J., Huisman, H., Karssemeijer, N., Barentsz, J.O., Blickman, J.G., Boetes, C.: Automated analysis of contrast enhancement in breast MRI lesions using mean shift clustering for ROI selection. Journal of Magnetic Resonance Imaging 26(3), 606–614 (2007)
Tanimoto, A., Nakashima, J., Kohno, H., Shinmoto, H., Kuribayashi, S.: Prostate cancer screening: the clinical value of diffusion-weighted imaging and dynamic MR imaging in combination with T2-weighted imaging. J. Magn. Reson. Imaging. 25(1), 146–152 (2007)
Tofts, P.S., Brix, G., Buckley, D.L., Evelhoch, J.L., Henderson, E., Knopp, M.V., Larsson, H.B., Lee, T.Y., Mayr, N.A., Parker, G.J., Port, R.E., Taylor, J., Weisskoff, R.M.: Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J. Magn. Reson. Imaging 10(3), 223–232 (1999)
Vos, P.C., Hambrock, T., Barenstz, J.O., Huisman, H.J.: Automated calibration for computerized analysis of prostate lesions using pharmacokinetic magnetic resonance images. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 836–843. Springer, Heidelberg (2009)
Vos, P.C., Hambrock, T., Barenstz, J.O., Huisman, H.J.: Computer-assisted analysis of peripheral zone prostate lesions using T2-weighted and dynamic contrast enhanced T1-weighted MRI. Physics in Medicine and Biology 55(6), 1719–1734 (2010)
Vos, P.C., Hambrock, T., Hulsbergen van de Kaa, C.A., Fütterer, J.J., Barentsz, J.O., Huisman, H.J.: Computerized analysis of prostate lesions in the peripheral zone using dynamic contrast enhanced MRI. Medical Physics 35(3), 888–899 (2008)
Vos, P.C., Hambrock, T., Barentsz, J., Huisman, H.J.: Computer-aided detection of prostate lesions at diffusion-weighted mr using a dedicated hessian matrix-based detection scheme. In: Annual Meeting of the Radiological Society of North America (2009)
Wolf, A.M.D., Wender, R.C., Etzioni, R.B., Thompson, I.M., D’Amico, A.V., Volk, R.J., Brooks, D.D., Dash, C., Guessous, I., Andrews, K., DeSantis, C., Smith, R.A., American Cancer Society Prostate Cancer Advisory Committee: American cancer society guideline for the early detection of prostate cancer: update 2010. CA Cancer J. Clin. 60(2), 70–98 (2010)
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
Huisman, H., Vos, P., Litjens, G., Hambrock, T., Barentsz, J. (2010). Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications. 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_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-15989-3_2
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)