Published December 21, 2014 | Version v1
Journal article

Ultra wideband (0.5–16 kHz) MR elastography for robust shear viscoelasticity model identification

  • 1. Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL (United States)

Description

Changes in the viscoelastic parameters of soft biological tissues often correlate with progression of disease, trauma or injury, and response to treatment. Identifying the most appropriate viscoelastic model, then estimating and monitoring the corresponding parameters of that model can improve insight into the underlying tissue structural changes. MR Elastography (MRE) provides a quantitative method of measuring tissue viscoelasticity. In a previous study by the authors (Yasar et al 2013 Magn. Reson. Med. 70 479–89), a silicone-based phantom material was examined over the frequency range of 200 Hz–7.75 kHz using MRE, an unprecedented bandwidth at that time. Six viscoelastic models including four integer order models and two fractional order models, were fit to the wideband viscoelastic data (measured storage and loss moduli as a function of frequency). The 'fractional Voigt' model (spring and springpot in parallel) exhibited the best fit and was even able to fit the entire frequency band well when it was identified based only on a small portion of the band. This paper is an extension of that study with a wider frequency range from 500 Hz to 16 kHz. Furthermore, more fractional order viscoelastic models are added to the comparison pool. It is found that added complexity of the viscoelastic model provides only marginal improvement over the 'fractional Voigt' model. And, again, the fractional order models show significant improvement over integer order viscoelastic models that have as many or more fitting parameters. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0031-9155/59/24/7717

Additional details

Identifiers

Publishing Information

Journal Title
Physics in Medicine and Biology
Journal Volume
59
Journal Issue
24
Journal Page Range
p. 7717-7734
ISSN
0031-9155
CODEN
PHMBA7

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47007232
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
COMPARATIVE EVALUATIONS; FREQUENCY DEPENDENCE; INJURIES; MONITORING; NMR IMAGING; PHANTOMS; SHEAR
Descriptors DEC
DIAGNOSTIC TECHNIQUES; DISEASES; EVALUATION; MOCKUP; STRUCTURAL MODELS