coronary heart disease has been one of the main threats of human health. coronary angiography is taken as the “gold standard” for the assessment of coronary artery disease. but sometimes, the images are difficult to interpret visually because of the crossing and overlapping of the vessels in the angiograms. vessel extraction from x-ray angiograms has been a challenging problem for several years...

A Monte Carlo simulation of light propagation through the retina has been developed to understand the path-length distributions within the retinal vessel. For full-field illumination, the path-length distribution within the vessel comprises directly backscattered light and light that has passed once or twice through the vessel. The origins of these light path-length distributions can be better ...

composite pressure vessel cng made of epoxy – carbon material with nonmetal liner is 60% lighter than aluminum vessel under the same conditions. one of the important parameters in the pressure vessels design is their resistance against impact and prevention of explosion. in this paper, the effects of low velocity impact on composite pressure vessel are investigated using fe analysis. the vessel...

Diabetic Retinopathy (DR) is the leading ophthalmic pathological reason of blindness among people of working age in developed countries. The main cause of DR is abnormal blood glucose level rise, which damages vessel endothelium, causing an increase in the vessel permeability. The initial manifestations of DR are tiny capillary dilations known as microaneurysms. A method for automatic detection...

The proposed method measures the retinal blood vessel diameter to identify arteriolar narrowing, arteriovenous (AV) nicking, branching coefficients to detect early diabetic retinopathy. It utilizes the vessel centerline and edge information to measure the width for a vessel segment. From the input retinal image, the vascular network is extracted using the local entropy thresholding method. The ...

Recently, high-resolution multislice CT images have been used in the diagnosis of hepatic cancer. In the conventional method of detecting hepatic cancer on the basis of three-dimensional images, it is difficult to detect cancers with a three-dimensional structure. This paper proposes a method of detection of liver cancer on the basis of three-dimensional hepatic blood vessel regions which are e...

In recent years, electronic vessel tracking has provided abundant data on vessel movements to surveillance authorities. Researchers have begun looking at the use of this data for anomaly detection using a wide variety of data mining techniques. Here we tackle anomaly detection with Bayesian Networks, training them with real world AIS data and producing models at two different time scales — both...