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Magnetic resonance imaging (MRI) is a widely used method to obtain high quality medical image of the brain. Post-processing MR images with segmentation algorithms enhances the visualization and measurement of soft tissues and lesions. However, the conventional algorithms are not perfect and there are still some regions which are not partitioned accurately. In this paper, a new ant colony algorithm...
A variety of xenogeneic and allogeneic extracellular matrix (ECM) scaffolds have been promising in various tissue engineering applications, such as the porcine small intestinal submucosa. Yet no particular scaffolds have been optimal for vocal fold regeneration. The decellularized human umbilical vein (HUV) is a novel allogeneic scaffold that has shown some promise for cardiovascular tissue engineering...
In view of the inherent speckle noise in medical ultrasound images, a novel method is proposed based on the blind deconvolution and the Maximum-Likelihood (ML) filtering. Firstly, the point spread function (PSF) is blindly estimated based on the complex-cepstrum filtering; then the PSF is input into a Wiener Filter in order to recover the tissue reflectivity. Secondly, the reflectivity is reasonably...
A method extended from a constrained Delaunay algorithm, which generates the multi-tissue tetrahedral meshes for segmented medical images, is proposed in this paper. With an external boundary surface and internal sampling points, the anatomical objects are tetrahedralized homogenously. A new tissue-labeling scheme is utilized to assign the distinct tissue types of the additional inserted points and...
In a standard ultrasound imaging, the radio-frequency (RF) backscattered signals are decimated to get a medical image. The RF signal carries information about the scattering structure. Analysis of the RF signals may get useful clinical information for the tissue characterization. In this paper, the approach that is wavelet packets (WP) decomposition of I/Q ultrasound signals was proposed to gain the...
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