Affiliation:
1. Institute of Biomedical Engineering University of Montreal Montreal Quebec Canada
2. Laboratory of Biorheology and Medical Ultrasonics University of Montreal Hospital Research Center (CRCHUM) Montreal Quebec Canada
3. Department of Radiology, Radio‐Oncology and Nuclear Medicine University of Montreal Montreal Quebec Canada
Abstract
ObjectiveImprove the characterization of mechanical properties of blood clots. Parameters derived from shear wave (SW) velocity and SW amplitude spectra were determined for gel phantoms and in vitro blood clots.MethodsHomogeneous phantoms and phantoms with gel or blood clot inclusions of different diameters and mechanical properties were analyzed. SW amplitude spectra were used to observe resonant peaks. Parameters derived from those resonant peaks were related to mimicked blood clot properties. Three regions of interest were tested to analyze where resonances occurred the most. For blood experiments, 20 samples from different pigs were analyzed over time during a 110‐minute coagulation period using the Young modulus, SW frequency dispersion, and SW attenuation.ResultsThe mechanical resonance was manifested by an increase in the number of SW spectral peaks as the inclusion diameter was reduced (P < .001). In blood clot inclusions, the Young modulus increased over time during coagulation (P < .001). Descriptive spectral parameters (frequency peak, bandwidth, and distance between resonant peaks) were linearly correlated with clot elasticity values (P < .001) with R2 = .77 for the frequency peak, .60 for the bandwidth, and .48 for the distance between peaks. The SW dispersion and SW attenuation reflecting the viscous behavior of blood clots decreased over time (P < .001), mainly in the early stage of coagulation (first minutes).ConclusionThe confined soft inclusion configuration favored SW mechanical resonances potentially challenging the computation of spectral‐based parameters, such as the SW attenuation. The impact of resonances can be reduced by properly selecting the region of interest for data analysis.
Funder
Natural Sciences and Engineering Research Council of Canada
Subject
Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Cited by
3 articles.
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