Abstract
A Dynamic Contrast Enhanced MRI dataset consists of many imaging frames, often both before and after contrast injection. Due to the length of image acquisition, patient motion is likely and image re-alignment or registration is required before further analysis such as pharmacokinetic model-fitting. Non-rigid image registration procedures may be use to correct motion artefacts, however careful choice of registration strategy is required to reduce mis-registration artefacts associated with enhancing features. This work compares the results of two model-fitting algorithms with two registration methods. Results show changes to the fitted parameters after motion correction within enhancing regions. This preliminary work indicates the importance of careful registration algorithm selection.
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References
Tofts, P.S.: Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. J. Magn. Reson. Imaging 7(1), 91–101 (1997)
Hayton, P., Brady, M., Tarassenko, L., Moore, N.: Analysis of dynamic MR breast images using a model of contrast enhancement. Med. Image Anal. 1(3), 207–224 (1997)
Buonaccorsi, G.A., O’Connor, J.P.B., Caunce, A., Roberts, C., Cheung, S., Watson, Y., Davies, K., Hope, L., Jackson, A., Jayson, G.C., Parker, G.J.M.: Tracer kinetic model-driven registration for dynamic contrast-enhanced mri time-series data. Magn. Reson. Med. 58(5), 1010–1019 (2007)
Melbourne, A., Atkinson, D., White, M.J., Collins, D., Leach, M., Hawkes, D.: Registration of dynamic contrast-enhanced MRI using a progressive principal component registration (ppcr). Phys. Med. Biol. 52(17), 5147–5156 (2007)
Milles, J., van der Geest, R.J., Jerosch-Herold, M., Reiber, J.H.C., Lelieveldt, B.P.F.: Fully automated motion correction in first-pass myocardial perfusion mr image sequences. IEEE Trans. Med. Imaging 27(11), 1611–1621 (2008)
Rohlfing, T., Maurer, C.R., Bluemke, D.A., Jacobs, M.A.: Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint. IEEE Trans. Med. Imaging 22(6), 730–741 (2003)
Modat, M., Ridgway, G.R., Taylor, Z.A., Lehmann, M., Barnes, J., Fox, N.C., Hawkes, D.J., Ourselin., S.: Fast free-form deformation using graphics processing units. In: Comput. Methods Programs Biomed. (2009)
Veltman, J., Stoutjesdijk, M., Mann, R., Huisman, H.J., Barentsz, J.O., Blickman, J.G., Boetes, C.: Contrast-enhanced magnetic resonance imaging of the breast: the value of pharmacokinetic parameters derived from fast dynamic imaging during initial enhancement in classifying lesions. Eur. Radiol. 18(6), 1123–1133 (2008)
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Melbourne, A., Hipwell, J.H., Hawkes, D.J. (2010). The Effect of Motion Correction on Pharmacokinetic Parameter Estimation. In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_100
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DOI: https://doi.org/10.1007/978-3-642-13666-5_100
Publisher Name: Springer, Berlin, Heidelberg
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