Noninvasive elasticity imaging in small vessels: validation on tissue-mimicking phantoms

Roch L. Maurice; Michel Daronat; Nicolas Pivert; F. Stuart Foster; Guy Cloutier

doi:10.1117/12.530698

28 April 2004 Noninvasive elasticity imaging in small vessels: validation on tissue-mimicking phantoms

Roch L. Maurice, Michel Daronat, Nicolas Pivert, F. Stuart Foster, Guy Cloutier

Proceedings Volume 5373, Medical Imaging 2004: Ultrasonic Imaging and Signal Processing; (2004) https://doi.org/10.1117/12.530698
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

Non-invasive ultrasound elastography (NIVE) was recently introduced to characterize mechanical properties of superficial arteries. In this paper, the feasibility of NIVE for the purpose of studying small vessels in humans and small animals is investigated. The experiments were performed in vitro on vessel-mimicking phantoms of 1.5-mm lumen diameter and 1.5-mm wall thickness. Polyvinyl alcohol cryogel (PVA-C) was used to create double layer vessel walls. The stiffness of the interior portion of the vessels was made softer. The vessels were insonified at 32 MHz with an ultrasound biomicroscope. Radial stress was applied within the lumen of the phantom by applying incremental static pressure steps with a column of a flowing mixture of water-glycerol. The Lagrangian speckle tissue model estimator was used to assess the 2D-strain tensor, and the composite Von Mises elastograms were then computed. The two-layer vessel walls were clearly identifiable. Strain values close to 3% were measured for the interior portion, whereas strains around 1% were noted for the stiffer outside layer. In conclusion, the feasibility of NIVE for small vessel elasticity imaging was demonstrated in vitro.

Citation Download Citation

Roch L. Maurice, Michel Daronat, Nicolas Pivert, F. Stuart Foster, and Guy Cloutier "Noninvasive elasticity imaging in small vessels: validation on tissue-mimicking phantoms", Proc. SPIE 5373, Medical Imaging 2004: Ultrasonic Imaging and Signal Processing, (28 April 2004); https://doi.org/10.1117/12.530698

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