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To reduce noise in low dose Computed tomography (CT) images, this paper proposes an algorithm in which the projection domain de-noising method is combined with wavelet-domain sparsity and total variation (TV) regularization. This approach uses a unified wavelet-TV approach that estimates all wavelet coefficients simultaneously via the minimization of a single objective function with non-convex penalty...
In recent years, with the rapid ascension of the whole medical level, people have a higher demand for medical CT equipment, not just emphasizing the inspection speed and high image quality problem. Traditional CT equipment has a complex structure, with big weight, high cost, large space, hardly moving problems. Traditional CT equipment depends on power supply and has a high demand for working environment...
To solve the problem that the Juxta-Vascular nodule and vascular-crossing could not be distinguished by dot filter and make high rate of false positive, a feature subset selection method based on improved genetic algorithms in wrapper model was proposed, and the best feature subset was used to establish a classifier based on support vector machines to improve the performance by reducing false positive...
Computed aided diagnosis of lung CT data is a new quantitative analysis technique to distinguish malignant nodules from benign ones. Nodule growth rate is a key indicator to discriminate between benign and malignant nodules. Accurate nodule segmentation is the essential for calculating the nodule growth rate. However, it is difficult to segment juxta-vascular nodules, due to the similar gray levels...
The purpose of this paper is to improve the quality of low dose Computed Tomography (CT) images. Low dose artifacts are the Gaussian noises superimposed on the CT images and are often caused by insufficient calibrated detector and photon starvation. A noise reduction method via three dimensionaltotal variation usingCompute Unified Device Architecture (CUDA) is proposed on the three dimensional image...
A fast and robust colorectal polyp detection framework in CT colonography was proposed. In order to speed the detection of polyp in CT colonography, a cascade-Adaboost framework was employed, and a lot of candidates were rejected quickly in the first stages of the cascade framework. To improve the performance of cascade-Adaboost, cascade indifference curve was explored to determine detection rate...
Ring artifacts are among of the most common artifacts in cone beam computed tomography (CT). High resolution images are often disturbed by these artifacts. In this paper, a ring artifacts reduction method is proposed based on cone beam projection images. CUDA technique is used to accelerate the method. The performance of the proposed algorithm is evaluated using real cone beam CT images. Experiment...
Efficiently, accurately and automatically positioning the ribs in CT images and giving tips of which rib it is on cross-sectional plane will be very helpful for doctor's clinical diagnosis. This paper presented a new method of automatic rib positioning and extraction in CT images. According to the anatomical characteristics of ribs, the first rib will presents as a sloping line gradually when we slice...
CT (Computed Tomography) can provide doctors not only the accurate information regarding the anatomy, but also the capability of functional analysis. This paper proposed a CT GFR (Glomerular Filtration Rate) calculation method based on three-compartment model and the Patlak plot technique. Considering the complexity of the model system, the optimization method was employed to solve the system. The...
Maximum mutual information (MI) is widely used in multimodality registration. However, traditional registration based on MI is difficult to be adopted in clinical routine for its time-consuming. We proposed a hybrid optimization method which can reduce time for one evaluation of the MI criterion by using incremental coordinate transformation method and also can reduce the whole iteration time by using...
With the dawn of modern imaging technologies such as CT, MRI and PET, images play a role of ever increasing importance. Due to the high contrast between air and tissue, X-rays are the imaging modality of choice. Especially CT-scans are increasingly useful for diagnosis of disorders of the lung. Working with the acquired 3D CT data brings new difficulties as it is not trivial to display 3D data on...
The mammography has the problem of overlapping of cancer symptoms with normal tissue structures. A cone-beam Computed Tomography (CBCT) may partially solve this problem. One cone-beam breast CT (CBBCT) prototype has built up successfully and the primary performance evaluations have been done. All components including the X-ray tube, rotation stage and flat detector are connected together and controlled...
The segmentation of the ascending aorta from multislice computed tomography (MSCT) volume data is one of the critical steps for the quantitative analysis coronary artery. In this paper, a fast and automatic iterative method is presented. The method locates the volume of interest (VOI) of the ascending aorta and detects the seed point automatically. Then an automatic iterative procedure is implemented...
In recent years, processed medical image becomes more and more important to diagnosis. Anamorphic image may result in wrong judgment on state of an illness, even leads to fateful danger. Meanwhile, more efficient data transportation and storage are required with the development of high-resolution photography. Therefore, thousands of researchers work on the field of medical image processing. In this...
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