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Detection of blood vessels on CTA images of the legs
Keita Kozono,Akiyoshi Yamamoto,Yoshinori Itai,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
The disease that causes the obstruction of blood flow by arteriosclerosis and thickening of the arteries in the legs is called arteriosclerosis obliterans (ASO). The early detection and treatment of ASO is very important issue in the medical field. Recently, by using computer aided diagnosis (CAD), physicians can easily detect the blood vessel on the image and displaying the results by use of the system. One of the techniques for analyzing the blood vessels widely used in medical imaging is computed tomography angiography (CTA). The CTA uses three dimensional (3-D) imaging technologies. It also produces a clear image of main blood vessels throughout the body by using contrast media. The 3-D blood vessel image is made the volume data obtained by the CTA. By using 3-D image, we can observe the image from multi aspect. And also, it leads to the improvement of the diagnosis accuracy. In order to diagnose a symptom of the ASO, we propose a method for visual screening technique by detecting blood vessel area on the images. In this paper, we have developed a technique for separation of bone region and blood vessel area in order to extract blood vessels from a CTA volume image. The proposed technique was applied to two real CTA cases and satisfactory results for segmentation of the blood vessels were obtained. Some experimental results are shown with discussions.
Detection of Bone Regions on Legs from CTA Image Using Concentration Gradients
Kodai Wada,Akiyoshi Yamamoto,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
Recently, radiologists can easily screening with high accuracy based on CTA (Computed Tomography Angiography) images and/or MRI(Magnetic Resonance Imaging)which is supported by medical imaging technology. On the other hand, visual screening makes burden to doctors which cause increasing the images and limited times. To avoid these problems, CAD (Computer Aided Diagnosis or Detection) system is developed by reducing the burdens and to improve the diagnostic accuracy. Problems of diagnosis on legs from CTA are burdens to doctors and detection of blood vessel by manual. In the field for visual screening, it is difficult task to detect blood vessel regions with high accuracy detection rates since blood vessel regions are in contact with bone region on the CTA images. In this paper, we propose a new method for segmentation of arterial area, which are obtained CTA based on image processing by concentration gradients, and satisfactory experimental results are obtained. Some experimental results are shown with discussion.
Detection of Blood Vessel Regions Using Weighted MIP from Non-enhanced MR Imaging
Yuiko KOGA,Akiyoshi YAMAMOTO,Hyoungseop KIM,Joo Kooi TAN,Seiji ISHIKAWA 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
Recently, arterio sclerosis obliterans (ASO) caused by the chronic ischemia of limbs increase remarkably. As one of the diagnosis methods of this disease, the image diagnosis such as MR image is used on medical fields. In this paper, we propose a method to develop medical diagnostic support system using fresh blood imaging (FBI) method, in which the structure of blood vessel regions in legs could be analyzed from non-enhanced MR images. As the method, an initial point of the vessel regions in the artery areas is acquired from weighted MIP images automatically. Then extend the artery areas using region growing method. Especially, we developed for the position relationship of the crossed blood vessel and the segment accuracy in peripheral artery areas that is improved by using weighted MIP images that the result could not be gotten in conventional MIP images. To evaluate our proposed method, we performed our proposed method and satisfactory results are achieved.
Biodegradable Nanogel-Integrated Hydrogels for Sustained Protein Delivery
Asako Shimoda,Kazunari Akiyoshi,Yuka Yamamoto,Shin-ichi Sawada 한국고분자학회 2012 Macromolecular Research Vol.20 No.3
Polysaccharide nanogel-crosslinked hydrogels for sustained protein delivery systems were prepared using acryloyl group-modified cholesterol-bearing pullulan (CHPOA) as a building block and multiarmed poly(ethylene glycol) (PEGSH) with thiol groups as a cross-linker. Immobilized nanogels were released by the cleavage of ester bonds between the nanogels and cross-linkers according to environmental factors such as pH and the presence of serum. Fluorescein-isothiocyanate-labeled insulin (FITC-Ins)-containing hydrogel was prepared by the cross-linking of FITC-Ins-complexed nanogel and PEGSH. The protein-complexed nanogels were gradually released from the hydrogel by hydrolysis, and then the proteins in the nanogel were released by exchange reactions in the presence of bovine serum albumin. The CHPOA-PEGSH hydrogel is useful as a sustained protein delivery system.
Segmentation Method for Cardiac Region in CT Images Based on Active Shape Model
Hiroki Takahashi,Masafumi Komatsu,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa,Akiyoshi Yamamoto 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
Recently, multi detector row computed tomography (MDCT) has been introduced into medical fields. By the development of MDCT, images with high quality are provided into medical fields. So many related image processing techniques are proposed into medical image processing fields for extraction of abnormal area. In the medical image processing field, segmentation is one of the most important problems for analyzing the abnormalities and recognition of internal structures before the operation. For this reason, many approaches are proposed for detection of abnormal area on CT images. Before detection of abnormal areas, segmentation of organs in CT images is one of the most important problems for analyzing of disease. However, poor contrast, image noises and motion artifacts make this segmentation problem difficult in particular in cardiac region. Moreover, there are still no fully automatic segmentation methods for cardiac region on CT images. In this paper, we present automatic extraction technique for detection of cardiac region. Our proposed technique combines active shape model (ASM) and genetic algorithm (GA). We apply our proposed technique to five real CT images and satisfactory segmentation results are achieved.
Development of the MI-Viewer KIT for Medical Image Viewer
Tatsuaki Kizuka,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa,Akiyoshi Yamamoto 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
Recently, the performance of CT (Computed Tomography) scanner with high resolution is rapidly introduced to medical field for detecting the abnormalities. This improvement can make the diagnosis more accurately. To diagnosis the human body, radiologist compares the anatomical and functional image by use of image viewer system in the medical field. The CT scanner is able to produce huge numbers of CT images at once on the visual screening. Therefore, it takes time for to diagnose a patient by using the CT images directly. To overcome this problem, the CAD (Computer Aided Diagnosis) system is developed and admitted effectively as a second opinion for physicians. However, this CAD system is too expensive for introducing to a small hospital user and also needs a computer with high specification for 3-D displaying of CT image sets. To avoid this problem, we develop a new user-friendly CAD system. Our proposed CAD system can be implemented in a personal computer. In this paper, we introduce the CAD system, such as, segmentation by using a Snakes and 3-D display by using a volume rendering technique. The segmentation process enables us to segment the image by connecting the image contour using initial point setting semi-automatically. The 3-D image which is obtained by proposed technique can be supported to realize internal structure of the human body. By using our proposed system, radiologist can be segment multi organs and analyzing the internal human structures.