AIMC Topic: Arteries

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Classification and regression of stenosis using an in-vitro pulse wave data set: Dependence on heart rate, waveform and location.

Computers in biology and medicine
BACKGROUND: Data-based approaches promise to use the information in cardiovascular signals to diagnose cardiovascular diseases. Considerable effort has been undertaken in the field of pulse-wave analysis to harness this information. However, the inve...

Prospective motion correction and automatic segmentation of penetrating arteries in phase contrast MRI at 7 T.

Magnetic resonance in medicine
PURPOSE: To develop a prospective motion correction (MC) method for phase contrast (PC) MRI of penetrating arteries (PAs) in centrum semiovale at 7 T and to evaluate its performance using automatic PA segmentation.

Predicting and understanding arterial elasticity from key microstructural features by bidirectional deep learning.

Acta biomaterialia
Microstructural features and mechanical properties are closely related in all soft biological tissues. Both yet exhibit considerable inter-individual differences and are affected by factors such as aging and disease and its progression. Histological ...

Soft pneumatic actuators for mimicking multi-axial femoropopliteal artery mechanobiology.

Biofabrication
Tissue biomanufacturing aims to produce lab-grown stem cell grafts and biomimetic drug testing platforms but remains limited in its ability to recapitulate native tissue mechanics. The emerging field of soft robotics aims to emulate dynamic physiolog...

Modeling of the dynamics of vascular embolization by using porous media for the design of injection robots of embolic agents.

Medical engineering & physics
Embolization is the prevailing therapy for tumor-targeting, anti-organ hyperfunction, and hemostasis. However, the injection of embolic agents largely depends on the experiences of doctors as assisted by X-ray, which will negate the health of the doc...

Arterial enhancing local tumor progression detection on CT images using convolutional neural network after hepatocellular carcinoma ablation: a preliminary study.

Scientific reports
To evaluate the performance of a deep convolutional neural network (DCNN) in detecting local tumor progression (LTP) after tumor ablation for hepatocellular carcinoma (HCC) on follow-up arterial phase CT images. The DCNN model utilizes three-dimensio...

Predictive constitutive modelling of arteries by deep learning.

Journal of the Royal Society, Interface
The constitutive modelling of soft biological tissues has rapidly gained attention over the last 20 years. Current constitutive models can describe the mechanical properties of arterial tissue. Predicting these properties from microstructural informa...

Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Images-Brief Report.

Arteriosclerosis, thrombosis, and vascular biology
Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atherosclerosis research and potentially subject to unacceptable user-to-user variability and observer bias. We address this by releasing Vesseg a tool that inc...

Vascularity Outcomes of Lingual Artery Ligation in Transoral Robotic Base of Tongue Resections.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
To explore the effect of lingual artery ligation on tongue vascularity, we performed an analysis of 25 patients who underwent transoral robotic surgery for base of tongue cancers (May 2011 to December 2019). Hounsfield units of the intrinsic muscles ...