High-resolution mechanical imaging of the kidney
Streitberger KJ, Tzschaetzsch H, Hirsch S, Fischer T, Braun J, Sack I, Guo J (2014)
Publication Type: Journal article
Publication year: 2014
Journal
Book Volume: 47
Pages Range: 639-644
Journal Issue: 3
DOI: 10.1016/j.jbiomech.2013.11.051
Abstract
The objective of this study was to test the feasibility and reproducibility of in vivo high-resolution mechanical imaging of the asymptomatic human kidney. Hereby nine volunteers were examined at three different physiological states of urinary bladder filling (a normal state, urinary urgency, and immediately after urinary relief). Mechanical imaging was performed of the in vivo kidney using three-dimensional multifrequency magnetic resonance elastography combined with multifrequency dual elastovisco inversion. Other than in classical elastography, where the storage and loss shear moduli are evaluated, we analyzed the magnitude |G*| and the phase angle φ of the complex shear modulus reconstructed by simultaneous inversion of full wave field data corresponding to 7 harmonic drive frequencies from 30 to 60Hz and a resolution of 2.5mm cubic voxel size.Mechanical parameter maps were derived with a spatial resolution superior to that in previous work. The group-averaged values of |G*| were 2.67±0.52kPa in the renal medulla, 1.64±0.17kPa in the cortex, and 1.17±0.21kPa in the hilus. The phase angle φ (in radians) was 0.89±0.12 in the medulla, 0.83±0.09 in the cortex, and 0.72±0.06 in the hilus. All regional differences were significant (P<0.001), while no significant variation was found in relation to different stages of bladder filling.In summary our study provides first high-resolution maps of viscoelastic parameters of the three anatomical regions of the kidney. |G*| and φ provide novel information on the viscoelastic properties of the kidney, which is potentially useful for the detection of renal lesions or fibrosis. © 2013 Elsevier Ltd.
Involved external institutions
Germany (DE)How to cite
APA:
Streitberger, K.-J., Tzschaetzsch, H., Hirsch, S., Fischer, T., Braun, J., Sack, I., & Guo, J. (2014). High-resolution mechanical imaging of the kidney. Journal of Biomechanics, 47(3), 639-644. https://doi.org/10.1016/j.jbiomech.2013.11.051
MLA:
Streitberger, Kaspar-Josche, et al. "High-resolution mechanical imaging of the kidney." Journal of Biomechanics 47.3 (2014): 639-644.
BibTeX: Download