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|Title:||Motion tracking and strain map computation for quasi-static magnetic resonance elastography|
soft tissue indentation
|Citation:||Fu, Y.B.,Chui, C.K.,Teo, C.L.,Kobayashi, E. (2011). Motion tracking and strain map computation for quasi-static magnetic resonance elastography. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6891 LNCS (PART 1) : 428-435. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-23623-5_54|
|Abstract:||This paper presents a new imaging method for quasi-static magnetic resonance elastography (MRE). Tagged magnetic resonance (MR) imaging of human lower leg was acquired with probe indentation using a MR-compatible actuation system. Indentation force was recorded for soft tissue elasticity reconstruction. Motion tracking and strain map of human lower leg are calculated using a harmonic phase (HARP)-based method. Simulated tagged MR images were constructed and analyzed to validate the HARP-based method. Our results show that the proposed imaging method can be used to generate accurate motion distribution and strain maps of the targeted soft tissue. © 2011 Springer-Verlag.|
|Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Appears in Collections:||Staff Publications|
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