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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...
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...
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...
Cone beam computed tomography (CBCT) represents a state-of-the-art CT technique, which is real three-dimensional (3D) imaging modality due to its volume scanning and fully 3D reconstruction. However, the 3D volume reconstruction demands enormous computations, which becomes the bottleneck for CBCT applications. This paper proposes a technique to speed up back projection reconstruction through the use...
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