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Immunoglobulin light chain amyloidosis (AL) is characterized by the deposition of light chain components as insoluble fibrils in tissues and organs leading to dysfunction and death and is the most common form of peripheral amyloid disease in humans. Presently, there are no means available in the USA to image specifically these deposits and thus ascertain the presence or extent of disease. To this...
In this paper problem of airway tree segmentation from CT data sets was regarded. The idea of segmentation using 3D seeded region growing algorithm was introduced. Common problems arising during extracting airway tree from CT data using region growing method were explained. Especially problem of leakage from airway into the lung parenchyma was outlined. Common methods of CT data sets preprocessing...
In this paper, an unsupervised approach based on non-linear filtering and region growing techniques to obtain the endocardial surface is proposed. The filtering stage is performed using mathematical morphology operators in order to improve the left ventricle cavity information in multi slice computerized tomography images. A seed point located inside the cardiac cavity is used as input for the region...
The function of left atrium can be accurately estimated non-invasively using 4D CT cardiac images. A self-developed image analysis program will first reconstruct 3D volume of heart. Then, one may re-sample images for accurately deleting the 4 pulmonary veins from the atrium and set the boundary. With the prior processed information, the active contour methodology and seed regional growth methodology...
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