• Journal of information and communication convergence engineering
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• v.15 no.1
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• pp.49-52
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• 2017

Ganglion cysts are benign soft tissues usually encountered in the wrist. In this paper, we propose a method to extract a ganglion cyst region from ultrasonography images by using image segmentation. The proposed method using the possibilistic c-means (PCM) clustering method is applicable to ganglion cyst extraction. The methods considered in this thesis are fuzzy stretching, median filter, PCM clustering, and connected component labeling. Fuzzy stretching performs well on ultrasonography images and improves the original image. Median filter reduces the speckle noise without decreasing the image sharpness. PCM clustering is used for categorizing pixels into the given cluster centers. Connected component labeling is used for labeling the objects in an image and extracting the cyst region. Further, PCM clustering is more robust in the case of noisy data, and the proposed method can extract a ganglion cyst area with an accuracy of 80% (16 out of 20 images).

• Journal of Veterinary Clinics
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• v.22 no.4
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• pp.382-385
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• 2005

The aim of this study was to compare ultrasonography with video-otoscopy for the evalution of the external ear canal and the tympanum. Fifty dogs with clinical signs ot the bilateral ear diseases were examined using otoscopy under general anesthesia. Ultrasonographic examination was performed with an 11 MHz linear-arrary probe and a 6.5MHz convex probe, with the external ear canal filled with saline. Saline functioned as a contrast media and enhanced image quality of ultrasonography. The images of 100 ears before and after the ear cleansing were obtained at otoscopy and ultrasonography. On the video-otoscopic images, the tympanic membrane was identified in 59 ears before the ear cleansing and 91 ears after cleansing. On the ultrasonography, the tympanic membrane was detected in 98 ears before the ear cleansing and in all ears after cleansing. With these results, it was concluded that ultrasonography with infusing saline into the ear canal, could be a useful diagnostic procedure to identify the tympanic membrane in otitis dogs.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.58-64
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• 2022

Breast ultrasonic reading is critical as a primary screening test for the early diagnosis of breast cancer. However, breast ultrasound examinations show significant differences in diagnosis based on the difference in image quality according to the ultrasonic equipment, experience, and proficiency of the examiner. Accordingly, studies are being actively conducted to analyze the texture characteristics of normal breast tissue, positive tumors, and malignant tumors using breast ultrasonography and to use them for computer-assisted diagnosis. In this study, breast ultrasonography was conducted to select 247 ultrasound images of 71 normal breast tissues, 87 fibroadenomas among benign tumors, and 89 malignant tumors. The selected images were calculated using a statistical method with 21 feature parameters extracted using the gray level co-occurrence matrix algorithm, and classified as normal breast tissue, benign tumor, and malignancy. In addition, we proposed five feature parameters that are available for computer-aided diagnosis of breast cancer classification. The average classification rate for normal breast tissue, benign tumors, and malignant tumors, using this feature parameter, was 82.8%.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.87-90
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• 2012

Cholangiocarcinoma (CCA) is the most common cancer in northeastern Thailand. At present, effective diagnosis of CCA either in humans or animals is not available. Monitoring the development and progression of CCA in animal models is essential for research and development of new promising chemotherapeutics. Ultrasonography has been widely used for screening of bile duct obstruction in CCA patients. In this study, we preliminarily investigated the applicability of ultrasonography to monitor the development and progression of CCA in Syrian golden hamsters (n=8) induced by Opisthorchis viverrini (OV)/dimethylnitrosamine (DMN) administration. Ultrasonography and histopathological examination of hamsters was performed at week 0, 20, 24 and 28 of OV infection or at the start of water/Tween-80 administration to controls. The ultrasonographic images of liver parenchyma and gallbladders of OV/DMN-induced CCA hamsters showed sediments in gallbladder, thickening of gallbladder wall, and hypoechogenicity of liver parenchyma cells. The ultrasonographic images of liver tissues were found to correlate well with histopathological examination. Although ultrasonography does not directly detect the occurrence of CCA, it reflects the thickening of bile ducts and abnormality of liver tissues. It may be applied as a reliable tool for monitoring the development and progression of CCA in animal models in research and development of new promising chemotherapeutics for CCA.

• The Journal of the Korean dental association
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• v.53 no.2
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• pp.143-152
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• 2015

Ultrasonography is relatively inexpensive, non-invasive imaging tool and provides real-time imaging. In addition, the images can be obtained repeatedly. But it is not widely used by dentists because it is hard to interpret and technique sensitive. Above all, ultrasonography cannot be used for hard tissue diagnosis. However, ultrasonography can be applied for diagnosis of infection, soft tissue tumor and inflammatory muscle diseases which are commonly found in dental outpatients. Generally, it shows well-defined border, hypoechoic and homogenous structure in case of benign tumor. Malignant tumor appears relatively irregular margin and heterogenous structure. Cyst represents relatively echo-free features compared with benign tumor. Although the general characteristics of abscess are similar with benign tumor, we can observe an increased vascularity and different clinical features. The purpose of this report is to present 3 cases of US images using office-based ultrasonography with their features and discuss the role of office-based ultrasound in dentistry for diagnosis of soft tissue lesions with literature review.

• Journal of Animal Science and Technology
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• v.65 no.2
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• pp.365-376
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• 2023

Pig breeding management directly contributes to the profitability of pig farms, and pregnancy diagnosis is an important factor in breeding management. Therefore, the need to diagnose pregnancy in sows is emphasized, and various studies have been conducted in this area. We propose a computer-aided diagnosis system to assist livestock farmers to diagnose sow pregnancy through ultrasound. Methods for diagnosing pregnancy in sows through ultrasound include the Doppler method, which measures the heart rate and pulse status, and the echo method, which diagnoses by amplitude depth technique. We propose a method that uses deep learning algorithms on ultrasonography, which is part of the echo method. As deep learning-based classification algorithms, Inception-v4, Xception, and EfficientNetV2 were used and compared to find the optimal algorithm for pregnancy diagnosis in sows. Gaussian and speckle noises were added to the ultrasound images according to the characteristics of the ultrasonography, which is easily affected by noise from the surrounding environments. Both the original and noise added ultrasound images of sows were tested together to determine the suitability of the proposed method on farms. The pregnancy diagnosis performance on the original ultrasound images achieved 0.99 in accuracy in the highest case and on the ultrasound images with noises, the performance achieved 0.98 in accuracy. The diagnosis performance achieved 0.96 in accuracy even when the intensity of noise was strong, proving its robustness against noise.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1528-1535
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• 1997

Many radiological modalities has been applied to medicine as a basic fundamental diagnosis and therapy recently. The prevalence of computer systems affect most images to be digitized. However conventional X-ray film images are not digital images eventhough they covers 70% of all radiologica images. This is the hinderacne of building PACS. In this paper all radiological digital imaging parts such as DSA. CR. MRI. SPECT. PET and ultrasonography were briefly introduced and the applications were described. In brief digital radiography contribute to enhance the medical service quality. And the digital substituition of conventional X-ray film image is inevitable.

• Journal of The Korean Society of Integrative Medicine
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• v.5 no.1
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• pp.75-83
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• 2017

Purpose : The parameters used in architectural analysis are muscle thickness, fascicle length, pennation angle, etc. Pennation angle is an important muscle characteristic that plays a significant role in determining a fascicle's force contribution to movement. Ultrasonography has been widely used to obtain the image for measurement of a pennation angle since it is non-invasive and real-time. However, manual assessment in ultrasonographic images is time-consuming and subjective, making it difficult for using in muscle function analysis. Thus, in this study, I proposed an automatic method to extract the pennation angle from the ultrasonographic images of gastrocnemius muscle. Method : The ultrasonographic image obtained from 10 healthy participants's gastrocnemius muscle using for developed automatic measuring program. Automatic measuring program algorithm consists with preprocessing, line detection, line classification, and angle calculation. The resulting image was then used to detect the fascicles and aponeuroses for calculating the pennation angle with the consideration of their distribution in ultrasonographic image. Result : The proposed automatic measurement program showed the stable repeatability of pennation angle calculation. Conclusion : This study demonstrated that the proposed method was able to automatically measure the pennation angle of gastrocnemius, which made it possible to easily and reliably investigate pennation angle more.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.4
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• pp.211-216
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• 2017

This paper proposes image processing techniques that improve usability and performance in a diagnostic system of the contrast-enhanced ultrasonography. For a methodology for visualizing diagnostic parameter data in an ultrasonic medical image, an expression of transition time data with successive pixel values and a method of generating a lesion diagnostic parameter image with four categorized values are presented. We also introduce a MRF-based image enhancement technique to eliminate noises from generated parametric images. Such parametric image generation technique can overcome the difficulty of discriminating dynamic change in patterns in the ultrasonography. The technique clarifies the contour of the region in the original image and facilitates visual determination of the characteristics of the lesion through four colors. With regard to this MRF-based image enhancement, we define the energy function of consecutive pixel values and develop a technique to optimize it, and the usability of the proposed theory is examined through experiments with medical images.

• Journal of Korean Foot and Ankle Society
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• v.14 no.2
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• pp.169-172
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• 2010

Purpose: The authors have experienced various lesions that simulate ganglion of the foot on the ultrasonography. The purpose of this study is to evaluate ultrasonographic findings of soft tissue lesions, which were interpreted as ganglion but confirmed as different lesions in the foot. Materials and Methods: We reviewed a database of patients with ganglion on the ultrasonography from two different institutions. There were 109 patients who underwent both ultrasonography and surgical confirmation. Twenty one lesions were identified, of which initial interpretation on the ultrasonography included ganglion which pathology revealed to be different lesions. All images were evaluated by one musculoskeletal radiologist, regarding size, margins, internal echogenicity of lesions, and presence of posterior enhancement. Results: Of 21 lesions, there were 6 fibrous tumors including fibroma, giant cell tumor of tendon sheath, and fibromatosis, 3 hemangiomas, 2 epidermal inclusion cysts, 2 chondromas, 2 angioleiomyomas, 1 trichilemal cyst, 1 neurofibroma, 1 granular cell tumor, 1 neurilemmoma, 1 neuromyxoma, and 1 nodular hidradenoma. Mean size of the lesion was 1.1 cm. Margins were smooth in 10, mild lobulation in 8 and marked lobulation in 3 lesions. Lesions were hypoechoic in 16, anechoic in 4 and isoechoic in 1 case. Posterior acoustic enhancement was definitely present in 5 lesions. Conclusion: On the ultrasonography, various soft tissue lesions of the foot may be confused with ganglion. During surgical resection care should be given even to a simple ganglion as it might turn up to be a solid lesions such as fibrous tumors.