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On the basis of the original SIFT algorithm, this paper presents an improved point matching algorithm for brain CT image, which combines the SIFT and gray feature. Firstly, the SIFT algorithm is used to extract the key points of the images, and for each key points, a 128 dimensional SIFT feature vector is generated. The Euclidean distance of the SIFT feature vector is used as the similarity measure...
Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
Dermoscopy images usually suffer from spatially-varying defocus blur, which will easily influence the lesion analysis result and lead to wrong aided diagnosis. In this paper, a novel blind deblurring framework is proposed for dermoscopy images with spatially-varying defocus blur. The defocus map is firstly estimated by support vector regressor (SVR) learning model using the natural scene statistics...
Multimodal medical image fusion has become a powerful tool for medical diagnoses. To further enhance its effect, we adopt a new approach similar with the block-matching and 3D filtering algorithm (BM3D) for image de-noising. The algorithm first block the input images and group the blocks into 3D arrays by the block-matching step before multi-scale transform, and then use a 3D transform which consist...
In this paper, we propose a motion compensated dynamic magnetic resonance imaging (MRI) reconstruction method based on compressed sensing. First, a motion compensation method is used to improve the sparsity in temporal finite difference domain and the nuclear norm of the low rank property. Furthermore, the effective regularization terms are designed to enforce the low rank structure of dynamic scenes...
Magnetic resonance imaging (MRI) provides reliable image information for cancer lesion screening before prostate biopsy is performed by radiologists. This study attempts to apply an algorithm for prostate based on artificial neural networks (ANN-PT) to T2 weighted image (T2WI) as well as diffusion weighted image (DWI) and convex analysis of mixture with compartmental model (CAM-CM) to dynamic contrast-enhanced...
Accurate and efficient segmentation of prostate is a significant but difficult task for numerous clinical applications like image-guided prostate intervention and detection of prostate cancer. In this paper, a novel landmark detection based prostate magnetic resonance imaging (MRI) segmentation method is proposed via a modified level set formulation with shape prior. Firstly, the medium slice of prostate...
Cardiac tractography consists in generating fiber paths for representing and visualizing cardiac fiber architecture. In this process, a large redundant number of fiber paths are usually generated in order to cover the whole myocardium. However, it is difficult to render and visualize dense fibers, and this poses problems for further qualitative and quantitative analysis of cardiac fiber structure...
Euler angles play a vital role in diffusion tensor imaging (DTI) which has received intensive attention recently. However, different Euler angle conventions generate different rotation paths, whereas in some applications it is desirable to obtain a unique rotation path. This paper applies Euler angle rotations to diffusion tensor magnetic resonance imaging, explains in detail the conversion between...
Automatic segmentation of the Epicardium and Endocardium plays an important role in the diagnosis of myocardial ischemia. Due to the speckle noise of ultrasound images and the complexity of cardiac tissue, the segmentation is still manual or semi-automatic. A fully automatic segmentation method based on Convolutional Neural Network (CNN) is proposed in this paper: localization segmentation method,...
A method of enhancing the 3D structure of fundus images has been developed. It is based on grid warping techniques and ensures both denoising and vessel sharpening of fundus images. The method has been tested with phantom translucent 3D object of vessels processed using Tikhonov regularization method.
A good knowledge of the cardiac microarchitecture is essential for better understanding the function of the human heart. This paper investigates the transmural 3D microstructure of the left ventricle of the human heart. An ex-vivo sample (7 × 7 × 15 mm3) extracted from the anterior wall of the myocardium is imaged using X-rays phase contrast micro-tomography. Sampling the volume at high isotropic...
Because of its high temporal resolution and safety, medical ultrasound (US) imaging technology is widely used as a guided modality in modern therapies and examinations, especially in human liver treatment. Thus, the precise motion estimation method of the moving target becomes a hot researching domain. In this paper, a new motion estimation method is proposed for liver vessel tracking using long-term...
A new learning model for image resampling with convolutional neural network is proposed. Its main idea is the dataset preparation method for deep learning. The proposed algorithm can work with noisy and noiseless images and provides good quality for wide noise level range. The method was tested using standard datasets and was also applied for retinal image resampling.
Computerized Ionospheric Tomography (CIT) is a power tool for investigating the ionospheric electron density in three-dimensional space, and has important implications for weather forecast and scientific research. The existing researches on CIT are mostly based on the GPS data, which have disadvantages of complex operation, bad environment adaptability, small covering area and so on. The researches...
GEOSAR has the characteristics of wide coverage and short revisit time. But when the GEOSAR is both used as a transmitter and a receiver, its advantages is not well exploited. If an airplane or a LEO satellite is replaced as a platform of the receiver, we can not only observe the interesting regions flexibly, but also achieve finer resolution. However, the geometry of the BiSAR is complicated. Thus,...
Geosynchronous SAR (GEO SAR) has great potentials in Earth observation as its wide swath coverage and fine resolution. But the long integration time is a double-edged sword which will lead to the error accumulations and the resultant performance degradation. In this paper, 3 demonstration experiments are presented for validating GEO SAR focusing feasibility and interferometry under long integration...
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