Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-23623-5_54
Title: Motion tracking and strain map computation for quasi-static magnetic resonance elastography
Authors: Fu, Y.B.
Chui, C.K. 
Teo, C.L. 
Kobayashi, E.
Keywords: HARP
motion tracking
MR tagging
soft tissue indentation
strain
Issue Date: 2011
Source: 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)
URI: http://scholarbank.nus.edu.sg/handle/10635/73644
ISBN: 9783642236228
ISSN: 03029743
DOI: 10.1007/978-3-642-23623-5_54
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