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Showing 1 to 13 of 13 for “"Vessel segmentation"”.
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Retinal vessel segmentation using textons
Segmenting vessels from retinal images, like segmentation in many other medical image domains, is a challenging task, as there is no unified way that can be adopted to extract the vessels accurately. However, it is the most critical stage in automatic assessment of various forms of diseases (e.g. …
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Blood Vessel Segmentation and shape analysis for quantification of Coronary Artery Stenosis in CT Angiography
… diagnostic system. Firstly, an automated vessel segmentation algorithm is developed to extract the coronary arteries based on the framework of active contours. Both global and local intensity statistics are utilised in the energy functional calculation, which allows for dealing with …
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Computer-Assisted Analysis of Arterial Narrowing in Whole-Body Magnetic Resonance Angiography
… of pre- and post-contrast volumes, automatic vessel segmentation and tracking, and the measurement and grading of tracked vessels.<br/><br/>We present the first quantitative comparison of vessel segmentation techniques for WBMRA data, comparing five different algorithms using 3 ground truth …
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LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA
… cross-sectional images of interior of blood vessels and it is currently the gold standard technique for the study of the characteristics of the atherosclerotic plaques. Segmentation of IVUS images refers to the delineation of the lumen/ intima and media/adventitia interfaces of the vessel. …
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Morphometric measurements of the retinal vasculature in ultra-wide scanning laser ophthalmoscopy as biomarkers for cardiovascular disease
… with cardiovascular risk and MRI imaging data. A vessel segmentation technique was developed by making use of a bank of multi-scale matched filters and a neural network classifier. The technique was devised to minimize errors in vessel width estimation, in order to ensure the reliability of width …
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Artifact removal in digital retinal images
… image grading, in particular for retinal feature segmentation. First, a large group of statistical parameters designed to measure image quality have been selected from the literature. A new ophthalmic database was then collected (CORD - the Comprehensive Ophthalmic Research Database), which …
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Novel Methods of Optical Data Analysis to Assess Radiation Responses in the Tumor Microenvironment
… In the first part of Aim 1, we have developed a vessel segmentation algorithm specifically designed for processing tumor vessels, which present a challenge to existing algorithms due to their highly branching, tortuous structure. This provides us with useful information on vascular structural …
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Vessel identification in diabetic retinopathy
… namely the identification of the retinal blood vessels in fundus photographs. It de-velops two vessels segmentation strategies and assess their accuracies. A literature review of retinal vascular segmentation found few results, and indicated a need for further development. The two methods for …
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Applications of Machine Learning to Neuroimage Analysis in Cerebral Small Vessel Disease
Introduction Cerebral small vessel disease (CSVD) causes around 25% of ischaemic strokes and contributes to nearly half of dementia cases worldwide. Neuroimaging, particularly magnetic resonance imaging (MRI), is fundamental to the assessment, prognosis, and pathophysiological study of CSVD. …
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Detection of Stroke, Blood Vessel Landmarks, and Leptomeningeal Anastomoses in Mouse Brain Imaging
… Anastomoses, are connections between blood vessels originating from different arteries. Despite limited knowledge, they are suggested as an important contributor to cerebral stroke recovery that allows additional blood flow through the affected area. However, few databases and algorithms …
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A Hierarchical Image Processing Approach for Diagnostic Analysis of Microcirculation Videos
… automatically or accurately. In particular, microvessel density has been a critical diagnostic measure in evaluating disease progression and a prognostic indicator in various clinical conditions. As a result, automated analysis of the microcirculatory system can be substantially beneficial in …
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Segmentace cév v obrazech sítnice
Diplomová práce se zabývá metodou segmentace cévního řečiště ze snímků očního pozadí pořízených fundus kamerou. Je prozkoumána možnost využití vlnkové transformace k rychlé přehledové segmentaci. Práce obsahuje rozbor problematiky předzpracování snímku a dekompozice obrazu pomocí 2D DWT. Dále je …
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A Multiplexed, Multi-scale Optical Imaging Platform to Quantify Tumor Metabolic Heterogeneity
… to highlight hemoglobin absorption in microvessels. Given the interplay between metabolism and vasculature it was desirable to employ a vessel segmentation approach to describe vascular features within an image. A Gabor filter and Djikstra segmentation approach was employed on metabolic …