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PET and CT image registration is an important tool of clinical diagnosis of diseases. For PET and CT images, a preprocessing algorithm of medical image registration is proposed in this paper. The algorithm process includes image normalization, CT image adaptive threshold adjustment and automatic extraction of tissues based on morphology, edge detection and statistical analysis theory, and improved...
PET and CT image registration is an important tool of clinical diagnosis of diseases. For PET and CT images, a preprocessing algorithm of medical image registration is proposed in this paper. The algorithm process includes image normalization, CT image adaptive threshold adjustment and automatic extraction of tissues based on morphology, edge detection and statistical analysis theory, and improved...
In tooth implantation surgery, dentist or surgeon needs to derive quantitative information about the place each implant should be go, the length and width of each implant should be, as well as the angle each implant should be inserted, based on the 3D CT image of jaw of a patient. In existing techniques, the information is measured from such slices that are generated from virtually cutting teeth-ridge...
Early detection of pulmonary nodules on multi-slice computed tomography (MSCT) is an important clinical indication for early-stage lung cancer diagnosis. Currently, support vector machines (SVMs) have been widely used in pattern recognition. We are developing a nodule detection system by using the combination of SVMs. For training and testing the SVM classifier, a lung nodule simulation method in...
The detection of pulmonary nodules is proven to be of critical importance in early-stage lung cancer diagnosis. Many computer aided detection (CAD) methods combined with morphological approach and pattern recognition technology to identify lung nodules have been proposed to assist the radiologists to improve sensitivity of diagnosis. We present a computer aided lung nodule detection scheme based on...
In computational grid environments, QoS guided scheduling problem, especially when the task has multiple QoS demands, is complex and challenging. AQoS guided scheduling heuristic algorithm for a set of independent tasks has been presented. In this paper we introduce a new selective algorithm based on multiple QoS constraints for grid task scheduling. The experiments show that the algorithm not only...
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