Abstract
We are in the process of constructing a high resolution, high signal to noise ratio (SNR) dynamic MRI dataset for the human heart using methodology similar to that employed to construct a low-noise standard brain at the Montreal Neurological Institute. Several high resolution, low SNR magnetic resonance images of 20 phases over the cardiac cycle were acquired from a single subject. Images from identical phases and temporally adjacent phases were registered, and the image intensities were averaged together to generate a high resolution, high SNR dynamic magnetic resonance image volume of the human heart. Although this work is still preliminary, and the results still demonstrate residual artifacts due to motion an sub-optimal alignment of interleaved image slices, our model has a SNR that is improved by a factor of 2.7 over a single volume, spatial resolution of 1.5 mm3, and a temporal resolution of 60 ms.
Chapter PDF
Similar content being viewed by others
Keywords
- Montreal Neurological Institute
- Coronal Slice
- Adjacent Phasis
- Elastic Registration
- Misalignment Correction
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Finnis, K.W., Starreveld, Y.P., Parrent, A.G., Sadikot, A.F., Peters, T.M.: 3D functional database of subcortical structures for surgical guidance in image guided neurosurgery. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 758–767. Springer, Heidelberg (1999)
Finnis, K.W., Starreveld, Y.P., Parrent, A.G., Peters, T.M.: 3D database of deep brain functional anatomy and its application to image guided neurosurgery. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol. 1935, pp. 1–8. Springer, Heidelberg (2000)
Chiu, A., Dey, D., Drangova, M., Boyd, W.D., Peters, T.M.: 3D image guidance for Minimally Invasive Robotic Coronary Artery Bypass (MIRCAB). Heart Surgery Forum 3(3), 224–231 (2000)
Raya, P.S., Udupa, J.K.: Shape-based interpolation of multidimensional objects. IEEE Transactions on Medical Imaging 9, 32–42 (1990)
Herman, G.T., Zheng, J., Bucholtz, C.A.: Shape-based interpolation. IEEE Computer Graphics and Applications, 69–79 (1992)
Holmes, C., Hoge, R., Collins, L., Woods, R., Toga, A., Evans, A.: Enhancement of MR images using registration for signal averaging. Journal of Computer Assisted Tomography 22, 324–333 (1998)
McLeish, K., Hill, D., Atkinson, D., Blackall, J., Razavi, R.: A study of the motion and deformation of the heart due to respiration. IEEE Trans. Medical Imaging 21, 1142–1150 (2002)
Pai, V.M., Wen, H.: Isolating the cardiac blood pool position for use as a marker of heart position in free-breathing MRI examinations. In: IEEE Conf. Medical Imaging 2002, pp. 939–942 (2002)
Wierzbicki, M., Peters, T.M.: Determining epicardial surface motion using elastic registration: Towards virtual reality guidance of minimally invasive cardiac interventions. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 722–729. Springer, Heidelberg (2003)
Guimond, A., Meunier, J., Thirion, J.-P.: Average brain models: a convergence study. Computer Vision and Image Understanding 77, 192–210 (2000)
Frangi, A.F., Rueckert, D., Schnabel, J.A., Niessen, W.J.: Automatic 3D ASM construction via atlas-based landmarking and volumetric elastic registration. Information Processing in Medical Imaging. In: 17th International Conference, IPMI, pp. 78–91 (2001)
Henkelman, R.M.: Measurement of signal intensities in the presence of noise in MR images. Med. Phys. 12, 232–233 (1985)
Kaufman, L., Kramer, D., Crooks, L., Ortendahl, D.: Measuring signal-to-noise ratios in MR imaging. Radiology, 265–267 (1989)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Moore, J., Drangova, M., Wierzbicki, M., Barron, J., Peters, T. (2003). A High Resolution Dynamic Heart Model Based on Averaged MRI Data. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39899-8_68
Download citation
DOI: https://doi.org/10.1007/978-3-540-39899-8_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20462-6
Online ISBN: 978-3-540-39899-8
eBook Packages: Springer Book Archive