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Susceptibility Weighted Imaging (SWI) is an advanced MR sequence that can detect iron content. Iron deposition in brain has been examined regarding neurodegenerative disease and aging. The hypointensity region by iron deposition was estimated through comparing SWI with conventional T1-weighted image (T1WI) using volumetric analysis of basal ganglia in normal brain and the specific differences were confirmed in both images. The purpose of this study is to establish the feasibility of the objective region of interest (ROI) model for volumety using SWI sequences and visualize the changed region in the brain. Authors believe that volumetry technique can provide quantitative and visual data by measuring the volume of interest (VOI) pattern for the patients with disease related to iron deposition.

In this study, muscle training system was developed for effective rehabilitation treatment. This system consists of the electromyogram (EMG) acquisition module, the graphic user interface (GUI) system, and game contents of each channel mode. EMG acquisition module acquires EMG signals and transmits to GUI. GUI performs to control the direction in for game operation using acquired EMG signals. The obtained data were analyzed using laboratory-developed software based on Microsoft Foundation Class (MFC) of Visual Studio 2008. The games were developed as each-channel mode for various exercises in rehabilitation. All the games were implemented in Flash CS4 using Action Script 2.0. This system was to overcome the boredom and monotony in rehabilitation. We proposed the method which improves the patient’s participation willingness and motivates them in rehabilitation.

Phase unwrapping finds many important applications in MRI, ranging from field mapping to flow imaging. This paper presents a novel algorithm for recovering the absolute phase from modulo-2π phase, the so-called phase unwrapping (PU) problem. The proposed phase unwrapping method adopted the simple criterion of array-sequencing dependent on the phase values of images. This advent algorithm eliminates the search for residues, placement of branch cuts, or generation of quality maps for unwrapping the phases. The self-developed program has been tested with both simulated and experimental data, yielding better results than some of the state-of-the-art methods. The algorithm was proved to be robust to noise and easier to be implemented.

This study was performed to evaluate the characteristics of the spectral peak intensities and T2-relaxation times of the biochemical metabolites related to cancerous gastric tissue using ex vivo proton MR spectroscopy (1H MRS) method, and to assess its clinical usefulness. The volume of interest data results from MRS measurement was extracted from proper muscle (MUS) layer and the composite mucosa/submucosa (MC/SMC) layer and their spectral peak intensities and T2-value were quantitatively analyzed. In this study, we present that both of spectral peak analysis and T2-relaxation time measurement using MRS method may be very useful for the diagnosis of the gastric cancer.