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An automated system for screening and diagnosis of diabetic retinopathy should segment blood vessels from colored retinal image to assist the ophthalmologists. We present a method for blood vessel enhancement and segmentation. This paper proposes a wavelet based method for vessel enhancement, piecewise threshold probing and adaptive thresholding for vessel localization and segmentation respectively...
The mammalian immune system consists of vital tissue microenvironments that exhibit remarkable structural complexity and dynamic cellular behaviors. It is now possible to acquire time-lapse series of multi-channel three dimensional images of multiple cell types and vasculature simultaneously, revealing dynamic events in their living tissue context. This talk will describe automated image analysis...
The following topics are dealt with: vascular image analysis; brain imaging and analysis; biological imaging and analysis; cancer imaging and analysis; computer aided diagnosis; ultrasound imaging and analysis; image registration; shape modeling and analysis; cardiac imaging and analysis; lung image segmentation; high-field clinical MRI; cellular and molecular image analysis; tracking and motion analysis;...
Recently, arterio sclerosis obliterans (ASO) caused by the chronic ischemia of limbs increase remarkably. As one of the diagnosis methods of this disease, the image diagnosis such as MR image is used on medical fields. In this paper, we propose a method to develop medical diagnostic support system using fresh blood imaging (FBI) method, in which the structure of blood vessel regions in legs could...
Blood vessel abstraction is an important procedure for quantitative analysis of blood vessel densities determined by immunostaining the tumor cells. Due to the weak contrast of object boundaries and background clutter, it is difficult to identify the vessel and non-vessel region clearly. In this paper we present a novel algorithm to automatically abstract salient regions in blood vessel images using...
Identification and characterization of diffuse parenchyma lung disease patterns challenges computer aided diagnosis (CAD) schemes in computed tomography (CT). Accuracy of these preprocessing stages is expected to influence the accuracy of lung CAD schemes. Although algorithms aimed at improving the accuracy of segmentation of lung fields in presence of DPLDs have been reported, the corresponding vessel...
Endothelial permeability is associated with the genesis and development of atherosclerosis. Computerized image analysis is utilized to investigate the relationship between endothelial permeability and endothelial morphology. First, microscopic images are segmented to detect endothelial cells using the speckle reduction anisotropic diffusion and marker-controlled watershed, whose optimal parameter...
This paper addresses the detection and segmentation of vascular myocytes. The detection and segmentation of these cells are critical to the investigation of atherosclerosis among other cardiovascular diseases. Our approach to detection is unique in that it attempts to compute the underlying external energy in an active contour model. Isolines in this computed external energy can be employed to localize...
The aim of the project is to develop a method, based on the process of cell division, able to quantify the vascularization area for the research on the angiogenesis phenomena. After having collected enough information to have a general view on the subject, a new method in terms of concept and philosophy will be developed.
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