In large-vessel vasculitides, inflammatory infiltrates may cause thickening of the involved arterial vessel wall leading to progressive stenosis and occlusion. Dilatation, aneurysm formation, and thrombosis may also ensue. Activated macrophages and T lymphocytes are fundamental elements in vascular inflammation. The amount and density of the inflammatory infiltrate is directly linked to local d...

In this paper we propose a 3D expansion of DP (dynamic programming) to find a near optimal surface in a 3D matrix. This algorithm can detect boundaries in an image sequence such as B-mode sonographic images and MRI sequences. We test this algorithm using real B-mode CCA (common carotid artery) dynamic sonographic image sequences and FA (femoral artery) MRI sequences. The automated results are c...

Previous vessel segmentation methods mainly concentrate on the general structure, and often ignore the accuracy, smoothness and continuity of vessel boundaries. A water flow based method is proposed to solve the problem. It embodies the fluidity of water and hence can handle the complex topological changes of vessels. A snake-like force functional combining edge-based and region-based forces pr...

Accurate extraction of retinal blood vessels is an important task in computer aided diagnosis of retinopathy. The matched filter (MF) is a simple yet effective method for vessel extraction. However, a MF will respond not only to vessels but also to non-vessel edges. This will lead to frequent false vessel detection. In this paper we propose a novel extension of the MF approach, namely the MF-FD...

In this paper, a novel and fast algorithm for segmental and subsegmental lung vessel segmentation is introduced using Computed Tomography Angiography images. This process is quite important especially at the detection of pulmonary embolism, lung nodule, and interstitial lung disease. The applied method has been realized at five steps. At the first step, lung segmentation is achieved. At the sec...

Research Work: This Article focuses the perspective of retinal blood vessel classification and detection in digitized retinal images. The color-based channels like green and red channels extraction processes lead to the enhanced identification of retinal blood vessel through the performance measures using Receiver Operating Characteristics (ROC). Processes with Methodologies: This proposed syst...

In recent days glaucoma related problems are tremendously increased in a stratergical manner. Hence it is to be considered as a serious threat in biomedical problem among human beings. proper arrangement of retinal vessel provides information about the retinal abnormalities. This process help to find cause several retinal diseases. The assessment of blood vessel is used to find eye diseases suc...

Detection and quantitative measurement of variations in the retinal blood vessels can help diagnose several diseases including diabetic retinopathy. Intrinsic characteristics of abnormal retinal images make blood vessel detection difficult. The major problem with traditional vessel segmentation algorithms is producing false positive vessels in the presence of diabetic retinopathy lesions. To ov...

Conventionally, hand-crafted features are used to train machine learning algorithms, however choosing useful features is not a trivial task as they are very much data-dependent. Given raw image intensities as inputs, supervised neural networks (NNs) essentially learn useful features by adjusting the weights of its nodes using the back-propagation algorithm. In this paper we investigate the perf...