@inproceedings{e53ff22566e54f28b82ff2c22b6b040b,
title = "Spatio-temporal directional filtering for improved inversion of MR elastography images",
abstract = "MR elastography can visualize and measure propagating shear waves in tissue-like materials subjected to harmonic mechanical excitation. This allows the calculation of local values of material parameters such as shear modulus and attenuation. Various inversion algorithms to perform such calculations have been proposed, but they are sensitive to areas of low displacement amplitude (and hence low SNR) that result from interference patterns due to reflection and refraction. A spatio-temporal directional filter applied as a preprocessing step can separate interfering waves so they can be processed separately. Weighted combinations of inversions from such directionally separated data sets can significantly improve reconstructions of shear modulus and attenuation.",
author = "Armando Manduca and Lake, {David S.} and Ehman, {Richard L.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; 5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 ; Conference date: 25-09-2002 Through 28-09-2002",
year = "2002",
doi = "10.1007/3-540-45787-9_37",
language = "English (US)",
isbn = "3540442251",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "293--299",
editor = "Takeyoshi Dohi and Ron Kikinis",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings",
}