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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 | 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) | URI: | http://scholarbank.nus.edu.sg/handle/10635/73644 | ISBN: | 9783642236228 | ISSN: | 03029743 | DOI: | 10.1007/978-3-642-23623-5_54 |
Appears in Collections: | Staff Publications |
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