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Knee joint is one of the frequently injured or damaged components of the human motion system. This paper provides an overview of the current segmentation techniques for knee joint from medical imaging, such as computerized tomography (CT) and MR (magnetic resonance). Segmentation techniques, strategies and system for the knee joint segmentation are discussed, followed by the review of how the different...
The main objective of this work is the demonstration of a conceptual approach for efficient interspinous implant evaluation and design using finite element (FE) method. A novel dynamic stabilization system (Interspinous spacer (ISS), registered in France under FR05/003524 and FR05/11161) was developed, which has an important role in the treatment of the degenerative lumbar spine compared to conventional...
Information in biological data repositories continues to grow exponentially due to the increasing genomic and proteomic sequencing projects. As with any database, these data repositories are subjected to data quality issues related to correctness, uniformity, completeness, redundancy, among others. Data cleaning is a prerequisite to prevent the interference of low quality data with the accuracy of...
The electrooculogram (EOG) signal is acquired through a dual-channel signal acquisition system and processed for its use in biomedical instrumentation systems incorporating Neural Networks. This paper discusses the applications of EOG signal processing and emphasizes the possibility of building a circuit for controlling various operations to be performed by extremely paralyzed patients. The overall...
Quality of pharmaceutical products such as ginseng is important for ensuring consumer safety and efficacy. Ginseng is an expensive herb, and adulteration with other cheaper products occurs. Commercial ginseng products now come in various formulations and traditional means of authentication via smell, taste or physical appearance are hardly reliable. Thus, quality assurance of ginseng is needed. Herbs...
This paper reports on design and rapid constructions of microstructures, such as in-fiber microhole, D-shaped fiber, in-fiber microchannel, side-polished fiber and tapered fiber, in optical fibers using a CO2 laser system that help exposing the optical fiber core to the measurands. Exposing the optical fiber core to the measurands surrounding the fiber is often used to enhance the sensitivity of an...
An anticancer drug dacarbazine (DTIC) was immobilized on a glassy carbon electrode (GCE) by using electrochemical oxidation method. Then the DTIC-modifled GCE was utilized as a stable functional monolayer to further associate with DNA bases and the different blocking effects on the redox reaction of Fe(CN)63- were observed on the different DNA base associated DTIC/GCE, where much bigger blocking...
The considerable effect of titanium dioxide (TiO2) nanoparticles and UV irradiation on the biomolecular binding behavior of anticancer drug doxorubicin has been studied by using electrochemical methods. Our observations demonstrate that the combination of nano TiO2 and UV irradiation could facilitate the respective DNA binding affinity of anticancer agent and significantly enhance the detection sensitivity...
In the noise environment of the modern society, everybody may be influenced by noise. Therefore, there have lots of workers must wearing the hearing protector to avoid the injury to its sense of hearing of various kinds of industrial noises in its environment. The conventional passive methods, such as ear muffs, are ineffective against low-frequency noise. To solve this problem, the present study...
In this paper we present a segmentation method based on genetic active contours (genetic snakes) that are active contour models, also known as snakes, with an energy minimization procedure based on genetic algorithms (GA). Genetic snakes have been proposed to overcome some limits of the classical snakes, as initialization and existence of multiple minima, and have been successfully applied to images...
This paper presents a new method for automatically gridding rotated microarray images. In previous methods rotation of an image is either ignored or a high amount of user intervention is required to correct the problem. Automation of this process is essential. The proposed method uses the Hough Transform to find the current orientation of the image. Once the orientation is found the microarray can...
In this paper, we propose a new, fast image enhancement algorithm based on histogram equalization. The new algorithm uses full range of possible gray levels to specially enhance local interested areas, which has much improved the water-washed effect on enhanced CT head images caused by conventional histogram equalization algorithms. Compared with other histogram equalization based image enhancement...
Detection of activation regions in functional Magnetic Resonance Imaging (fMRI) experiments can be improved by cluster size thresholding, where small regions are removed in the post-processing step. It is believed that such small regions are spurious and hence can be removed without affecting the truly activated ones. We show that in the context of Markov Random Field (MRF) based segmentation, simple...
Statistical shape models which represent the shape variations within a population are used in a variety of medical image applications, such as statistical shape analysis, model-guided segmentation and registration. This paper presents our statistical surface wavelets model that has three highly desirable properties of a shape model: compact representation, multi-scale shape description, and spatial-localization...
To increase the image contrast of the internal arteries at in vivo conditions, increasing of SNR magnitude and homogeneity are very important. In this study, we introduce a new design for the monopole probe by using a thin coaxial cable. The improvement of SNR distribution around the proposed probe relative to the conventional monopole probe is verified quantitatively versus SNR indices. The simulation...
In this paper, a new method Based on fuzzy Hopfield neural network for segmentation of MRI brain images is proposed. In MRI Images, the noise of imaging process can cause error in the conventional intensity base classification methods. In our algorithm, by optimizing the energy function fuzzy Hopfield neural network, we considered the effect of the neighbors of a pixel in classification of that pixel,...
The endocardial boundary detection of the left ventricle (LV) of the heart is a valuable diagnostic step to determine the abnormalities of the heart. In this paper, an automated method to obtain the endocardial boundary is proposed. The watershed transformation is performed on the morphological image to localize the region contained the LV (ROI). The DDGVF field is then utilized dynamically to deform...
Accurate extraction of contour information from neural stem cells is important, as the shapes of neural stem cells may contain significant features for studying their activities in time lapse image sequences especially during their cleavage. In this paper, an algorithm is presented for this purpose. Fuzzy threshold method based on Zadeh's maximum entropy is adopted for cell segmentation. The best...
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