Blood Flow in Human Arterial System-A Review

Thomas, Belinda; Sumam, K.S.

doi:10.1016/j.protcy.2016.05.045

Cited by 48 publications

(28 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in the presence of large physiological motion and sonographer's hand motion, tissue frequencies can be similar or even higher than that of slow blood flow (Tierney et al 2017). This can limit the visualization of small vessel blood flow, which can be of low frequency (or velocity) because of small vessel diameter (Thomas and Sumam 2016). In a recent study, Tierney et al (2017) proposed an adaptive demodulation-based technique to minimize any spectral broadening of the tissue components caused by motion, for improved clutter suppression.…”

Section: Introductionmentioning

confidence: 99%

Non-invasive Small Vessel Imaging of Human Thyroid Using Motion-Corrected Spatiotemporal Clutter Filtering

Nayak

Kumar

Webb

et al. 2019

Ultrasound in Medicine & Biology

View full text Add to dashboard Cite

Reliable assessment of small vessel blood flow in the thyroid, without using any contrast agents, can be challenging because of increased physiological motion resulting from its proximity to the pulsating carotid artery. In this study, we hypothesized that correction of tissue motion prior to singular value decomposition (SVD)-based clutter filtering can improve the coherency of the tissue components and, thus, may allow better clutter suppression and visualization of small vessels in the thyroid. We corroborated this hypothesis by conducting phantom and in vivo studies using a clinical ultrasound scanner implemented with compounded plane wave imaging. The phantom studies were conducted using a homogeneous tissue-mimicking phantom to study the impact of motion on the covariance of the spatiotemporal Doppler data, in the absence of blood activity. The non-invasive in vivo study was conducted on a 74-y-old woman with a thyroid nodule suspicious of malignancy. A rigid body-based motion correction was performed using tissue displacements obtained from 2-D normalized cross-correlationÀbased speckle tracking. Subsequently, the power Doppler images were computed using SVD-based spatiotemporal clutter filtering. The results from the phantom study revealed that motion can considerably reduce the covariance of the spatiotemporal data and, thus, increase the rank of the tissue components. When the phantom was subjected to a total translation displacement of 6 pixels over the entire ensemble, in each direction (axial and lateral), the covariance dropped by more than 25%. The results obtained from the non-invasive in vivo study indicated that visualization of small vessel blood flow improved with motion correction of the power Doppler ensemble. The contrast-to-noise ratio of the blood signal in motion-corrected power Doppler images was considerably higher (8.17 and 8.32 dB), compared with that obtained using the standard SVD approach at an optimal threshold (0.87 and 4.33 dB) and a lower singular value threshold (1.92 and 3.05 dB). Further, the covariance of the in vivo thyroid spatiotemporal data increased by approximately 10% with motion correction. These preliminary results indicate that motion correction can be used to improve the visualization of small vessel blood flow in the thyroid, without using any contrast agents. The results of this feasibility study were encouraging, and warrant further development and more in vivo validation in moving tissues and organs.

show abstract

Section: Introductionmentioning

confidence: 99%

Non-invasive Small Vessel Imaging of Human Thyroid Using Motion-Corrected Spatiotemporal Clutter Filtering

Nayak

Kumar

Webb

et al. 2019

Ultrasound in Medicine & Biology

View full text Add to dashboard Cite

show abstract

“…There are numerous studies of blood flow properties in susceptible regions such as vessel bifurcations and stenosis (see, e.g., [13,35,142,157]). After the bifurcations, there are zones of low WSS where the plaque can develop.…”

Section: Blood Flow Propertiesmentioning

confidence: 99%

Mathematical modelling of atherosclerosis

Khatib¹,

Kafi²,

Sequeira³

et al. 2019

Math. Model. Nat. Phenom.

View full text Add to dashboard Cite

The review presents the state of the art in the atherosclerosis modelling. It begins with the biological introduction describing the mechanisms of chronic inflammation of artery walls characterizing the development of atherosclerosis. In particular, we present in more detail models describing this chronic inflammation as a reaction-diffusion wave with regimes of propagation depending on the level of cholesterol (LDL) and models of rolling monocytes initializing the inflammation. Further development of this disease results in the formation of atherosclerotic plaque, vessel remodelling and possible plaque rupture due its interaction with blood flow. We review plaque-flow interaction models as well as reduced models (0D and 1D) of blood flow in atherosclerotic vasculature.

show abstract

“…In fact, most of this work does not manipulate the segmentation phase for flow sequences view the difficulty of the localization of the area of interest, but on the other hand, the phenomenon of fluid interaction manifests the flow path the field of displacement in the vessels and its behavior [17]. Several research works in the literature presented in [18] [29] .…”

Section: Iistate Of Art For the Study Of Bood Flowmentioning

confidence: 99%

“…Measurable function Spatial resolution [18] In comparison with the other modalities mentioned in the table, the contribution of MRI is reflected in its interesting characteristics. The MRI has the best resolution time = 15 ms, as well as this modality, accepts 3D and 4D formats with a spatial resolution = 1mm.…”

Section: Modalitymentioning

confidence: 99%

Moving Towards a 5d Cardiac Model

Sakly¹,

Mahmoudi²,

Akil³

et al. 2019

J Flow Vis Image Proc

View full text Add to dashboard Cite

The medical diagnosis process requires several steps to identify the types of cardiac pathologies. The segmentation step is used to determine the measurements for cardiac abnormalities on the short axis of the 4D acquired in MRI, but this phase remains limited on the blood flow sequences. The MRI modality allow to the experts to quantify the stenosis and the regurgitation of aortic blood flow. The parameters extracted from the flow sequences, after segmentation, make it possible to identify the valvular pathologies, but they are not sufficient to complete the medical prognosis as well as the lack of precision of these measurements. In this paper, we propose to make a coupling between the 4D cardiac cuts with their study of blood flow through the technique of registration and reconstruction. The interest of the purpose of the blood flow as fifth dimension is to improve the accuracy of the cardiac parameters and the extracting of measurements for valvulopathies in the process of assistance to the decision for the experts An example was introduced in this context through the development of cloud services for patient-specific simulations of blood flows through aortic valves as well as an OsiriX software for 5D visualization that combines a 4D sequence and the functional flow dimension. In this framework, we proposed a processing chain to lead towards a 5D solution. Another problem is raised is the choice of the appropriate architecture to solve the problem of hybrid parallelization for the processing of these cardiac images. To test the constraints of time of the concept of 5D, we need a GPU graphics processor acquired in MRI, as well as a CPU processor to perform the complexity of calculation and the operations applied to the algorithms of image processing.

show abstract

Blood Flow in Human Arterial System-A Review

Cited by 48 publications

References 33 publications

Non-invasive Small Vessel Imaging of Human Thyroid Using Motion-Corrected Spatiotemporal Clutter Filtering

Non-invasive Small Vessel Imaging of Human Thyroid Using Motion-Corrected Spatiotemporal Clutter Filtering

Mathematical modelling of atherosclerosis

Moving Towards a 5d Cardiac Model

Contact Info

Product

Resources

About