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We have demonstrated a polarization sensitive cartilage and muscle imaging based on common path optical coherence tomography (CP-OCT) using near infrared source. The axial and lateral resolutions of our PS-OCT system are 9μm and 6μm, respectively. The internal structural information has been extracted by the real-time signal analysis (Fourier Transform) from the modulated spectral intensity depending...
The application of process computed tomography to microchannels is considered in this paper. Using the process computed tomography system in microchannel, a particle distribution image can be obtained in a multiphase flow. Based on the reconstructed image, it is easy to estimate the particle diffusion behaviors in a fluid flow. A microchannel system is designed for process computed tomography. The...
Vascular disease is a major cause of death, therefore it is desirable to develop robots and simulation tools for catheter trajectory evaluation. Until now trajectory completion duration, catheter tip location, wall deformation, morphology and stress applied to blood vessel phantom wall were identified as evaluation parameters during endovascular surgery simulation. For that purpose image processing...
In this paper, we introduce a new real-time rendering algorithm for virtual endoscopy based on GPU. The algorithm reduces the amount of data collected by the Image Memory without affecting 3-D image display accuracy. And it can be applied to compute any complex ray-generation and rendering clips in the volume rendering, making use of GPU's power of parallel computation computing and multi-data processing...
Image stitching are ideally suited for applications such as image stabilization, summarization, and the creation of panoramic mosaics. This paper proposes a approach to stitch images fast and with high quality.Image alignment algorithms can discover the correspondence relationships among images with varying degrees of overlap. In this process, they uses SIFT to look for the trait points, and uses...
It is difficult to get high compression ratio and good reconstructed image by conventional methods; we give a new method of compression on medical image. It is to decompose and reconstruct the medical image by wavelet packet. Before the construction the image, use neural network in place of other coding method to code the coefficients in the wavelet packet domain. By using the Kohonen's neural network...
With the progress in image processing and pattern recognition, computerized tongue diagnosis has received considerable recent research interest. In computerized tongue diagnosis, reflection is unavoidable in the acquisition of tongue images. Correct detection of the highlight area and removal of reflection in tongue images is requisite and would greatly affect the performance of tongue texture analysis...
It was discovered that quaternion can be used in surgery navigation system (SNS), as an alternative and compact way to represent rotations. Coordinates conversion must be included when localizing in different coordinate. The application of quaternion in SNS coordinates conversion and the application of space registration in SNS are theoretically introduced in detail. The result of simulation shows...
Surface integrity of 3D medical data is crucial for surgery simulation or virtual diagnoses. However, undesirable holes often exist due to external damage on bodies or accessibility limitation on scanners. To bridge the gap, hole-filling for medical imaging is a popular research topic in recent years. Considering that medical image, e.g. CT or MRI, has the natural form of tensor, we recognize the...
Intelligent Computer Aided Diagnosis (CAD) Systems can be used for detecting Microcalcification (MC) clusters in digital mammograms at the early stage. CAD systems help radiologists in identifying tumor patterns in an efficient and faster manner than other detection methods. In this paper, we propose a new approach for detecting tumors in mammograms using Radial Basis Function Networks (RBFNN). Prior...
Image registration is the process of overlaying two or more images of the same scene taken at different times, from different viewpoints, and/or by different sensors. It geometrically aligns two images the reference and floating images. Medical image registration concentrates on aligning two or more images that represent the same anatomy from different angles and are obtained at different times. In...
At its simplest, volume calculation of MR Image segmented & further soft computed to estimate the affected intensity of Alzheimer's disease is dealt with this paper. It is concerned with Voxel Based Morphometry to render the first part segmentation. The result gives an active region which further needs an estimation to justify the diagnosis. As in this case the image is in form of voxels. When...
Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. Mammography has been one of the most reliable methods for early detection of breast carcinomas. However, it is difficult for radiologists to provide both accurate and uniform evaluation for the enormous mammograms generated in widespread screening. The main...
This paper mainly introduces the edge extraction algorithm of thenar palm print image based on wavelet modulus maxima multi-scale. First, some classical edge detection operators and the Hough transform are introduced. And then the paper focuses on the wavelet modulus maxima multi-scale edge detection algorithm. In this algorithm, a multi-scale Gaussian edge detector is constructed. According to cross-scale...
Computer aided diagnosis plays an important role in automatic detection of abnormal shadow area on CT images. The method of an automatic detection of lung nodules regions of interest (ROI) is presented in this paper. Firstly, the lung areas are segmented from CT images. Then, the initial ROI including nodules and blood vessels in lung areas are extracted by Top-hat filter. Thirdly, the second ROI...
A lot of image registration techniques have been developed with great significance for data analysis in medicine, astrophotography, satellite imaging and few other areas. This work proposes a method for medical image registration using Fast Walsh Hadamard transform. This algorithm registers images of the same or different modalities. Each image bit is lengthened in terms of Fast Walsh Hadamard basis...
In this paper, we propose an efficient noise reduction method that can be used to reduce speckle and jointly enhancing the edge information, rather than just inhibiting smoothing. In this method speckle is removed by filtering of band pass ultrasound images in Laplacian pyramid domain by using mixed PDE based nonlinear diffusion. In each pyramid layer, a gradient threshold is estimated automatically...
A pulmonary nodule is the most common sign of lung cancer. The proposed system efficiently predicts lung tumor from Computed Tomography (CT) images through image processing techniques coupled with neural network classification as either benign or malignant. The lung CT image is denoised using non-linear total variation algorithm to remove random noise prevalent in CT images. Optimal thresholding is...
Wave atom transform is a new multi-resolution technique, which has the ability to adapt to arbitrary local directions of a pattern, and to sparsely represent anisotropic patterns aligned with the axes. In this paper, a de-noising technique is proposed to remove the rician noise from Magnetic Resonance Images using wave atom shrinkage. It is well known that the noise in magnetic resonance imaging has...
Aiming at the characteristic of actual quasi-circular immune cell images, this paper presents the method of quasi-circular immune cell images segmentation based on Otsu threshold and thinning algorithm. The image is first converted color space form RGB to YIQ. Then the image is segmented by Otsu threshold algorithm. And then the erosion and dilation of morphological filter are used to process the...
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