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In order to extract the feature of electroencephalogram (EEG) quickly and efficiently, to improve the classification accuracy rate, band-pass filter and wavelet package were used to get mu and beta rhythms. In the time domain, energy feature was formed by the squared-amplitude of electroencephalogram (EEG) samples over the trials. The subtracted energy value of lead C3 and C4 was averaged by each...
Radiology plays important roles in orthopaedic surgery. Although various conventional radiological assessments including digital X-rays, magnetic resonance imaging (MRI), computerized tomography (CT) and the three-dimensional (3D) CT reconstruction images have been widely developed and utilized for preoperative assessment and planning, there are limitations. For example, despite the advances in 3D...
It is well known that medical imaging and visualization play important parts in traumatological orthopaedic surgery. Conventional radiological techniques including digital X-rays, computerized tomography (CT) and magnetic resonance imaging (MRI) have been widely used in clinic, but they have limitations. In order to achieve much deeper understandings and even better orthopaedic surgical interventions...
In this paper, we proposes a local multiphase C-V level set algorithm integrated with multilevel OTSU method for the segmentation of complicated liver lesion. We first construct a local liver lesion image, then pre-segment the lesion with multilevel OTSU method to get the initial contour, finally evolve the active contour with multiphase C-V level set method to get the final contour of lesion. Experiments...
It's very important to locate and recognize the lung region accurately in chest X-ray images in clinical application and research. This paper provides a novel method to extract the lung region in the chest X-ray images. In this paper, the active shape model (ASM) based on deformed technology is applied to segment the lung region. In order to get a more accurate and time-saving segmentation result,...
We present a novel technique for pre-processing medical images based on the feature that medical image data obtained from CT scanner are regional sampled values. The new technique first establishes mapping relation between regional sampled values and point sampled values, then adopts cubic spline curve fitting to convert the regional sampled values to more precise approximations of point sampled values...
According to the characteristic that the medical CT image data are area samplings, a new preprocessing approach for CT image is presented in this paper. It firstly constructs mapping relationship between area sampling and point sampling, then detect the image edge with Sobel operator, and divide the CT image into different regions based on human tissue feature, and finally, in each divided region,...
Understanding three-dimensional (3D) structure of components ranging from molecules to cells can help to understand the biological function of viruses. Accurate image alignment is needed for computing 3D reconstruction from transmission electron microscope tilt series. In this paper, an image alignment method for electron tomography is presented which is based on local cross-correlation and adaptive...
This paper proposes an efficient algorithm based on manifold learning and support vector machine (SVM) for the diagnosis of breast cancer tumor. First, Isomap algorithm is implemented to project high-dimensional breast tumor data to much lower dimensional space, then the processed data are classified by the SVM. Experimental and analytical results show that in the diagnosis of breast cancer tumor...
An adaptive threshold segmenting and contour tracing method was applied to extract the pulmonary parenchyma automatically from thoracic CT images. The density distribution of high resolution CT was used to determine the region and severity of emphysema.. Experimental results showed that the novel method can be adopted to segment the pulmonary parenchyma automatically and the accurate and effective...
Due to the logarithmic compression of the echo envelope by clinical ultrasound systems, Nakagami distribution can be more general to described the statistics of speckle and be used to design an unsharp mask filter to adaptively reduce speckle. This paper provides a novel adaptive speckle suppressing anisotropic diffusion(ASS-ANDl) method for medical B-scan ultrasonic images. The unsharp mask filter...
Selecting hundreds of thousands of particles from low contrast and low SNR Cryo-electron micrograph (Cryo-EM) images is one of the major bottle-necks in advancing toward achieving atomic resolution reconstruction of biological macromolecules. To recognize true particles from impurities and other invalid particles, shape information plays a significant role. This paper provide a new method based on...
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