Ultrasonic mapping of endogenous motion in brain tissue

Makūnaitė, Monika; Jurkonis, Rytis; Matijošaitis, Vaidas; Rastenytė, Daiva

doi:10.1109/ultsym.2019.8925971

Cited by 1 publication

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Scatterers not belonging to the artery lumen in a static map (diameter D 0 = 5 mm) were then selected, and longitudinal displacement d longitudinal (f 1 ) in the X-Z plane was added to each scatterer. Other studies [33,34] have demonstrated that the intima-media complex shows a larger longitudinal motion than the adventitia layer. Therefore, for scatterers that were outside the intima-media complex (i.e., adventitia layer and surrounding tissues), longitudinal displacement was added with sloping according to distance from the artery center (see Figure 7):…”

Section: Simulation Of Artery and Tissue Pulsationmentioning

confidence: 92%

“…Scatterers not belonging to the artery lumen in a static map (diameter D 0 = 5 mm) were then selected, and longitudinal displacement d longitudinal ( f 1 ) in the X–Z plane was added to each scatterer. Other studies [ 33 , 34 ] have demonstrated that the intima–media complex shows a larger longitudinal motion than the adventitia layer. Therefore, for scatterers that were outside the intima–media complex (i.e., adventitia layer and surrounding tissues), longitudinal displacement was added with sloping according to distance from the artery center (see Figure 7 ):

where y is the radial position as the absolute radial distance from the artery axis, r l = 2.5 mm is the lumen radius, r ma = 3.2 mm is the radius of the media-adventitia boundary, b 2 = 1.08 expresses the slope of the longitudinal displacement and was chosen the same as proposed by Stoitsis et al [ 23 ];…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of Ultrasound RF Signals Backscattered from a 3D Model of Pulsating Artery Surrounded by Tissue

et al. 2022

Self Cite

View full text Add to dashboard Cite

Arterial stiffness is an independent predictor of cardiovascular events. The motion of arterial tissues during the cardiac cycle is important as a mechanical deformation representing vessel elasticity and is related to arterial stiffness. In addition, arterial pulsation is the main source of endogenous tissue micro-motions currently being studied for tissue elastography. Methods based on artery motion detection are not applied in clinical practice these days, because they must be carefully investigated in silico and in vitro before wide usage in vivo. The purpose of this paper is to propose a dynamic 3D artery model capable of reproducing the biomechanical behavior of human blood vessels surrounded by elastic tissue for endogenous deformation elastography developments and feasibility studies. The framework is based on a 3D model of a pulsating artery surrounded by tissue and simulation of linear scanning by Field II software to generate realistic dynamic RF signals and B-mode ultrasound image sequential data. The model is defined by a spatial distribution of motions, having patient-specific slopes of radial and longitudinal motion components of the artery wall and surrounding tissues. It allows for simulating the quantified mechanical micro-motions in the volume of the model. Acceptable simulation errors calculated between modeled motion patterns and those estimated from simulated RF signals and B-scan images show that this approach is suitable for the development and validation of elastography algorithms based on motion detection.

show abstract

Section: Simulation Of Artery and Tissue Pulsationmentioning

confidence: 92%