Spatio-temporal Directional Filtering for Improved Inversion of MR Elastography Images
By Armando Manduca, D. Lake, R. Ehman. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2002
358 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/92595327399baee8c0393831f9fca5b49c72bbc1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Y. Mariappan
- K. Glaser
- Sudhakar Kundapur Venkatesh
- S. Kruse
- R. Ehman
- M. Yin
- G. H. Rose
- R. Ehman
Citations in the corpus
- MAGNETIC RESONANCE ELASTOGRAPHY: A REVIEW (2010, methodology): “Shear wave interference can cause artifacts in the stiffness calculations using several of the above techniques, and a preprocessing technique called directional filtering has been developed to reduce these artifacts (Manduca et al., 2003a).”
- Magnetic Resonance Elastography of Liver: Technique, Analysis and Clinical Applications (2013, background): “These quantitatative images typically depict shear stiffness in units of kilopascals (kPa), and may be displayed in a gray scale or with a color scale (36) (Fig.”
- Magnetic resonance elastography of the brain (2008, methodology): “Each set of wave images was processed using a set of spatiotemporal filters to decompose the complex wave fields into components propagating in different directions (Manduca et al., 2003).”