@inproceedings{5d5ba477b61f4e48ba3cf363858f5fe8,
title = "Visualization of tissue elasticity by magnetic resonance elastography",
abstract = "A newly developed magnetic resonance imaging technique can directly visualize propagating acoustic strain waves in tissue-like materials [1, 2]. By estimating the local wavelength of the acoustic wave pattern, quantitative values of shear modulus can be calculated and images generated that depict tissue elasticity or stiffness. Since tumors are significantly stiffer than normal tissue (the basis of their detection by palpation), this technique may have potential for “palpation by imaging,” with possible application to the detection of tumors in breast, liver, kidney, and prostate. We describe the local wavelength estimation algorithm, study its properties, and show a variety of sample results.",
author = "A. Manduca and R. Muthupillai and J. Rossman and Greenleaf, {J. F.} and Ehman, {R. L.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1996.; 4th International Conference on Visualization in Biomedical Computing, VBC 1996 ; Conference date: 22-09-1996 Through 25-09-1996",
year = "1996",
doi = "10.1007/bfb0046936",
language = "English (US)",
isbn = "3540616497",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "63--68",
editor = "Hohne, {Karl Heinz} and Ron Kikinis",
booktitle = "Visualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings",
}