Virtual Space Editing of Tagged MRI Heart Data
To estimate local contraction from tagged MRI heartbeat images, and deduce the presence of non-contributing muscle (usually ischemic), it is necessary to map the heart contours accurately in each slice at each imaged time. Neither an algorithm nor a human has been found able to do this on the evidence contained in a single slice; machine estimates must be corrected by humans, using criteria of 4D (space and time) consistency. This has taken a full working day per heartbeat, using only a 2D interface; in our Virtual Workbench environment for dextrous ‘reach-in’ work in virtual spaces, this time is reduced to less than an hour, making it practical to analyze larger numbers of cases.
KeywordsControl Point Magnetic Resonance Image Data Heart Motion Simulator Sickness Magnetic Resonance Image Slice
Unable to display preview. Download preview PDF.
- (a).McVeigh, E. R., Guttman, M., Poon, E., Chandrasekhar, P., Moore, C.. Zerhouni, E. A., Meiyappan, S., and Heng, P. A. Visualization and analysis of functional cardiac MRI data. World Wide Web at URL http://jmi.gdb.org/JMI/ejourn.html, 1994.Google Scholar
- (h).McVeigh, E. R., Guttman, M., Poon, E., Chandrasekhar, P., Moore, C., Zerhouni, E. A., Meiyappan, S., and Heng, P, A. Visualization and analysis of functional cardiac MRI data. In Medical Imaging 94, SPIE conference Proceedings. (1994), 2168 SPIE.Google Scholar
- McVeigh. E. R., and Zerhouni, E. A. Non-invasive measurement of transmural gradients in myocardial strain with MR imaging. Radiology 180 (1991), pp. 677–683.Google Scholar
- Meiyappan, S., Heng, P. A., and Poston, T. Strain visualization in the beating heart. World Wide Web at URL http://ciemed.iss.nus.sg/research/heart/strain.html, 1994.
- Zerhouni, E. A., Parish, D. M., Rogers, W. J., Yang, A., and Shapiro, E. P. Human heart: tagging with MR imaging-a method for non-invasive assessment of myocardial motion. Radiology 169 (1988). 59.Google Scholar