Effects of frequency- and direction-dependent elastic materials on linearly elastic MRE image reconstructions
Creators
- 1. Department of Radiology, Dartmouth-Hitchcock Medical Center, One Medical Center Drive, Lebanon, NH 03756 (United States)
- 2. Thayer School of Engineering, Dartmouth College, 8000 Cummings Hall, Hanover, NH 03755 (United States)
- 3. University of Rochester, 413 Hopeman Engineering Bldg, Rochester, NY 14627 (United States)
- 4. University of Canterbury, Private Bag 4800, Christchurch, 8410 (New Zealand)
Description
The mechanical model commonly used in magnetic resonance elastography (MRE) is linear elasticity. However, soft tissue may exhibit frequency- and direction-dependent (FDD) shear moduli in response to an induced excitation causing a purely linear elastic model to provide an inaccurate image reconstruction of its mechanical properties. The goal of this study was to characterize the effects of reconstructing FDD data using a linear elastic inversion (LEI) algorithm. Linear and FDD phantoms were manufactured and LEI images were obtained from time-harmonic MRE acquisitions with variations in frequency and driving signal amplitude. LEI responses to artificially imposed uniform phase shifts in the displacement data from both purely linear elastic and FDD phantoms were also evaluated. Of the variety of FDD phantoms considered, LEI appeared to tolerate viscoelastic data-model mismatch better than deviations caused by poroelastic and anisotropic mechanical properties in terms of visual image contrast. However, the estimated shear modulus values were substantially incorrect relative to independent mechanical measurements even in the successful viscoelastic cases and the variations in mean values with changes in experimental conditions associated with uniform phase shifts, driving signal frequency and amplitude were unpredictable. Overall, use of LEI to reconstruct data acquired in phantoms with FDD material properties provided biased results under the best conditions and significant artifacts in the worst cases. These findings suggest that the success with which LEI is applied to MRE data in tissue will depend on the underlying mechanical characteristics of the tissues and/or organs systems of clinical interest.
Availability note (English)
Available from http://dx.doi.org/10.1088/0031-9155/55/22/013Additional details
Identifiers
- DOI
- 10.1088/0031-9155/55/22/013;
- PII
- S0031-9155(10)42300-3;
Publishing Information
- Journal Title
- Physics in Medicine and Biology
- Journal Volume
- 55
- Journal Issue
- 22
- Journal Page Range
- p. 6801-6815
- ISSN
- 0031-9155
- CODEN
- PHMBA7
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 42035744
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ALGORITHMS; ELASTICITY; IMAGE PROCESSING; MAGNETIC RESONANCE; PHANTOMS; PHASE SHIFT
- Descriptors DEC
- MATHEMATICAL LOGIC; MECHANICAL PROPERTIES; MOCKUP; PROCESSING; RESONANCE; STRUCTURAL MODELS