Medical Image Analysis
Volume 14, Issue 2 , Pages 185-194 , April 2010

A classifying registration technique for the estimation of enhancement curves of DCE-CT scan sequences

  • Mohamed Hachama

      Affiliations

    • Centre Universitaire Khemis Miliana, Route Teniat el Had, Ain Defla, Algeria
    • ,
  • Agnès Desolneux

      Affiliations

    • University Paris Descartes, MAP5, CNRS UMR 8145, 45, rue des Sains-Peres, 75270 Paris Cedex, France
    • ,
  • Charles A. Cuenod

      Affiliations

    • University Paris Descartes, LRI-EA4062, APHP – European Hospital Georges Pompidou, Service of Radiology, 10 rue Leblanc, 75015 Paris, France
    • ,
  • Frédéric J.P. Richard

      Affiliations

    • University Paris Descartes, MAP5, CNRS UMR 8145, 45, rue des Sains-Peres, 75270 Paris Cedex, France
    • Corresponding Author InformationCorresponding author.

Received 30 July 2008 ,Revised 24 September 2009 ,Accepted 8 December 2009.

References 

  1. Biau G, Devroye L, Lugosi G. Consistency of random forests and other averaging classifiers. Journal of Machine Learning Research. 2008;9:2015–2033
  2. Buonaccorsi G, Roberts C, Cheung S, Watson Y, O’Connor J, Davies K, et al. Comparison of the performance of tracer kinetic model-driven registration for dynamic contrast enhanced MRI using different models of contrast enhancement. Academic Radiology. 2006;13(9):1112–1123
  3. Cuénod C, Fournier L, Balvay D, et al. Tumor angiogenesis: pathophysiology and implications for contrast-enhanced MRI and CT assessment. Abdominal Imaging. 2006;31(2):188–193
  4. Duda R, Hart P, Stork D. Pattern Classification. second ed.. Wiley-Interscience; 2000;
  5. Hachama, M., 2008. Modèles de recalage classifiant pour l’imagerie médicale. Ph.D. Thesis, University Paris Descartes.
  6. Hachama, M., Desolneux, A., Richard, F., 2006. Combining registration and abnormality detection in mammography. In: Proceedings of the Workshop on Biomedical Image Registration. pp. 178–185.
  7. Hayton P, Brady M, Tarassenko L, Moore N. Analysis of dynamic MR breast images using a model of contrast enhancement. Medical Image Analysis. 1997;1:207–224
  8. Hecht, F., 2008. FREEFEM++. Université Pierre et Marie Curie, Paris, Laboratoire Jacques-Louis Lions, third ed. <http://www.freefem.org/ff++/index.htm>.
  9. Henkjan H, Engelbrecht M, Barentsz J. Accurate estimation of pharmacokinetic contrast-enhanced dynamic MRI parameters of the prostate. Journal of Magnetic Resonance Imaging. 2001;13(4):607–614
  10. Judd R, Lugo-Olivieri C, et al. Physiological basis of myocardial contrast enhancement in fast magnetic resonance images of 2-day-old reperfused canine infarcts. Circulation. 1995;92(7):1902–1910
  11. Kaiser W. Dynamic magnetic resonance breast imaging using a double breast coil: an important step towards routine examination of the breast. Frontiers in European Radiology. 1990;7:39–68
  12. Kuhl C. The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice. Radiology. 2007;244(2):356–378
  13. Lorenzo L, MacLeod R, Whitaker R, Adluru G, DiBella E. Level sets and shape model for segmentation of cardiac perfusion MRI. In:  Reinhardt JM,  Pluim J editor. Proceedings of the SPIE Medical Imaging’2006. vol. 6144:CA: San Diego; 2006;p. 1320–1331
  14. Maroy R, Boisgard R, Comtat C, Frouin V, Cathier P, Duchesnay E, et al. Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics. IEEE Transactions on Medical Imaging. 2008;27(3):342–354
  15. Miles K. Perfusion CT for the assessment of tumor vascularity: which protocol?. The British Journal of Radiology. 2003;1(76):36–42
  16. Moate P, Dougherty L, Schnall M, et al. A modified logistic model to describe gadolinium kinetics in breast tumors. Magnetic Resonance Imaging. 2004;22(467–473):
  17. Mussurakis S, Buckley D, Bowsley S, et al. Dynamic contrast-enhanced magnetic resonance imaging of the breast combined with pharmacokinetic analysis of gadolinium-DTPA uptake in the diagnosis of local recurrence of early stage breast carcinoma. Investigative Radiology. 1995;30(11):650–662
  18. O’Connor J, Jackson A, Parker G, Jayson G. DCE-MRI biomarkers in the clinical evaluation of antiangiogenic and vascular disrupting agents. British Journal of Cancer. 2007;2(96):189–195
  19. Padhani A. Dynamic contrast-enhanced MRI in clinical oncology: current status and future directions. Magnetic Resonance Imaging. 2002;16(4):407–422
  20. Roche A, Malandain A, Ayache N. Unifying maximum likelihood approaches in medical image registration. International Journal of Computer Vision of Imaging Systems and Technology. 2000;11:71–80
  21. Rougon, N., Discher, A., Preteux, F., August 2005. Region-driven statistical non-rigid registration: application to model-based segmentation and tracking of the heart in perfusion MRI. In: Proceedings SPIE Conference on Mathematical Methods in Pattern and Image Analysis, vol. 5916. San Diego, pp. 148–159.
  22. Schmid, V., Whitcher, B., Yang, G., et al., 2005. Statistical analysis of pharmacokinetic models in dynamic contrast-enhanced magnetic resonance imaging. In: Medical Image Computing and Computer Assisted Intervention (MICCAI05), vol. 8. pp. 886–893.
  23. Stack J, Redmond O, Codd M, et al. Breast disease: tissue characterisation with GD-DTPA enhancement profiles. Radiology. 1990;174:491–494
  24. Tan P-N, Steinbach M, Kumar V. Introduction to Data Mining. Addison-Wesley; 2006;
  25. Tofts P. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. Journal of Magnetic Resonance Imaging. 1997;7(1):91–101
  26. Wintermark M. Brain perfusion-CT in acute stroke patients. European Radiology Supplements. 2005;15(4):d28–d31
  27. Xiaohua, C., Brady, M., Lo, J., Moore, N., 2005. Simultaneous segmentation and registration of contrast-enhanced breast MRI. In: Information Processing in Medical Imaging. pp. 126–137.
  28. Zahra M, Hollingsworth K, Sala E, et al. Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy. The Lancet Oncology. 2007;8(1):63–74

PII: S1361-8415(09)00146-7

doi: 10.1016/j.media.2009.12.002

Medical Image Analysis
Volume 14, Issue 2 , Pages 185-194 , April 2010

Article Tools

* Image Usage & Resolution