Tagged MRI-Based Studies of Cardiac Function
Tagged MRI provides a potentially powerful new way to non-invasively assess the regional function of the heart. Although its potential has not yet been fully realized, due to remaining technical limitations in image acquisition and analysis, good progress is being made to overcome these limitations. Current research focuses on improving imaging methods to obtain high resolution 3D spatially registered tagged images, designing more efficient methods to extract the heart wall contours and tag positions within the wall from the tagged images, and implementing efficient ways to reconstruct the 3D motion of the heart from this data. In addition to the new regional motion and deformation data that tagged MRI can provide on normal and abnormal cardiac function, we can potentially use this motion data to model the corresponding forces within the heart wall.
KeywordsMedical Image Analysis Heart Wall Contour Extraction Motion Reconstruction SPAMM Image
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- 1.E. Zerhouni, D. Parish, W. Rogers, et al., Human heart: tagging with MR imaging-a method for non-invasive assessment of myocardial motion. In Radiology, vol. 169, pages 59–63, 1988.Google Scholar
- 2.L. Axel, L. Dougherty, MR imaging of motion with spatial modulation of magnetization, In Radiology, vol. l7l, pages 84l–845, 1989.Google Scholar
- 3.L. Axel, L. Dougherty, Improved method of spatial modulation of magnetization (SPAMM) for MRI of heart wall motion, In Radiology, vol. 172, pages 349–350, 1989.Google Scholar
- 4.Q. Yuan, L. Axel, E.H. Hernandez, L. Dougherty, J.J. Pilla, D.H. Scott, V.A. Ferrari, and A.S. Blom, Cardiac-respiratory gating method for magnetic resonance imaging of the heart, In MRM; vol. 43, pages 314–318, 2000.Google Scholar
- 7.D.L. Kraitchman, A.A. Young, C.-N. Chang, L. Axel, Semi-automatic tracking of myocardial motion in MR tagged images, In IEEE-TMI vol. 14, pages 422–423, 1995.Google Scholar
- 9.A. Montillo, D. Metaxas, L. Axel. Automated segmentation of the left and right ventricles in 4D cardiac SPAMM images, In MICCA 2002, LNCS 2488, pages 620–633, 2002Google Scholar
- 11.J. Montagnat, H. Delingette, Spatial and temporal shape constrained deformable surfaces for 3D and 4D medical image segmentation, In INRIA research report 4078, 2000.Google Scholar
- 12.L. Axel, R. Gonçalves, D. Bloomgarden, Regional heart wall motion: Two-dimensional analysis and functional imaging of regional heart wall motion with magnetic resonance imaging, In Radiology, vol. 183(3), pages 745–750, 1992.Google Scholar
- 13.A.A. Young, L. Axel, Three-dimensional motion and deformation of the heart wall: estimation with spatial modulation of magnetization — a model based approach, In Radiology, vol 185, pages 241–247, 1992.Google Scholar
- 14.A.A. Young, D.L. Kraitchman, L. Dougherty, L. Axel, Tracking and finite element modeling of stripe deformation in magnetic resonance tagging, In IEEE-TMI, vol 14, pages 413–421, 1995.Google Scholar
- 17.K. Park, D.N. Metaxas, L. Axel, LV-RV shape modeling based on a blended parameterized model, In MICCAI 2002, LNCS 2488, pages 753–761, 2002.Google Scholar
- 18.Z. Hu, D. Metaxis, L. Axel, In-vivo strain and stress estimation of the heart left and right ventricles from MRI images, In Medical Image Analysis (accepted 2003).Google Scholar