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Vessel tracking is a topic that has had extensive coverage when dealing with high axial resolution data, obtained from modalities requiring patients to be exposed to greater levels of radiation dose, possibly to the detriment of their health[10]. The use of low axial resolution data such as multi-slice CT(MSCT) used in coronary artery disease screening is becoming widely used clinically to provide...
Standard Gaussian mixture modeling (GMM) is a well-known method for image segmentation. However, the pixels themselves are considered independent of each other, making the segmentation result sensitive to noise. To reduce the sensitivity of the segmented result with respect to noise, Markov random field (MRF) models provide a powerful way to account for spatial dependences between image pixels. However,...
Agatston scoring has become the primary clinical method of calcified lesion quantification for the diagnosis of coronary artery disease. Such a method compares a patients coronary plaque burden against a series of preset disease severity ratings. This burden allows a cardiologist to make a risk assessment of future cardiac events and prescribe suitable treatment. The main factor affecting plaque quantity...
This paper introduces our recently designed 9/7-10/8 dual-tree complex filter bank and studies its application in moving object detection and segmentation. The dual-tree complex wavelet transform (DT-CWT) is used in edge detection required for segmentation in video frames. The DT-CWT approach is compared with the previous methods based on scalar wavelets and multi-wavelets (MW), using double change...
The well-known vehicle detectors utilize the background extraction methods to segment the moving objects. The background updating concept is applied to overcome the luminance variation which results in the error detection. These systems will meet a challenge when detecting the vehicles in the traffic jam conditions at sunset. The vehicles will cover the road surface so that the background information...
The three-dimensional reconstruction of vascular networks from X-ray projection images is reviewed in analogy to general three-dimensional computed tomography. Intrinsic vascular bed properties (connectivity, density (spareness), lumen dimensions, radio-opaque contrast uniformity, etc.) suggest a general data representation, provide a basis for the algorithmic nature of reconstruction, and can be...
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