• 한국임상수의학회지
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• 제28권4호
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• pp.408-414
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• 2011

This study was carried out to analyze the utilization of ultrasound machines in animal hospitals and focused on surveying the present condition of diagnostic ultrasound on veterinary medicine in South Korea. Total 279 veterinary hospitals were surveyed with e-mail questionnaires or telephone survey. E-mail questionnaires consist of 17 items of questions including existence of ultrasound machine, types of ultrasound machine, ultrasound examination costs, frequency, purposes, other diagnostic imaging equipments, and referring system of ultrasound. Telephone surveys asked about the existence of the ultrasound machine and types of the ultrasound machine to 279 animal hospitals. Two hundred and seventy-one out of 279 animal hospitals holds ultrasound machine. Seventy-two percents clinics purchased used ultrasonographic machines and mean years after the date of manufacture is 7.5 years and the proportion of superannuated machines are relatively high. Also many clinicians prefer single organ scanning rather than general scan technique and more than 60% of clinics perform ultrasonographic examination less than 5 times a week. Clinics located in Seoul area tend to have more expensive and brand-new ultrasonographic machines and the distribution of radiology specialist are higher in this area. Problems associated with the present condition were oversupply of machines, unequal distribution of the medical equipment in different localities, ineffective use of the medical equipment, and high percentage of old poor-quality medical equipments. There should be a viable alternative proposal to control amount and quality of the ultrasound machines. Also, the improved management system for the ultrasound machine is required.

• Journal of Yeungnam Medical Science
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• 제18권2호
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• pp.170-186
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• 2001

Musculoskeletal ultrasound (MSUS) has newly evolved by the mechanical improvement of the machine over past several years, becoming a part of imaging techniques for the evaluation of variable diseases in the musculoskeletal system. MSUS has proven diagnostic superiority in pathologies including rotator cuff disease of the shoulder, lateral epicondylitis of the elbow, diseases of the peripheral nerve, detection of intra-articular loose bodies and soft tissue foreign bodies, and in evaluating small superficial soft tissue tumors such as ganglion, epidermoid cyst, and glomus tumor. Besides, MSUS is very useful for obtaining tissue or fluid via percutaneous fine needle aspiration and/or biopsy for the histopathologic diagnosis. Combining MSUS with MR would play a great role in the field of the diagnostic imaging of the musculoskeletal system. The MSUS examiner should have the knowledge of cross-sectional anatomy, and of the mechanical and physical properties of ultrasound in order to interpret the ultrasound findings accurately and properly, and to avoid diagnostic errors due to variable artifacts subsequently. The goal of this article is to introduce the capabilities of MSUS in certain kinds of clinical situation and to familiarize the reader with MSUS. For the purpose, author intends to describe this article according not to the disease-, or organ-based, but to the clinical problem-based format.

• 대한골관절종양학회지
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• 제11권1호
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• pp.17-24
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• 2005

의학의 발달과 더불어 종양에 대한 국소치료는 광범위근치술(extended radical surgery) 로부터 기능보존술(function preserving surgery)로 발달하고 이것은 다시 최소침습술(minimal-invasive surgery)로 발전하여 왔다. 그러나 최근 들어서는 기술의 혁신적인 진보로 비침습적수술법(non-invasive surgery)이 개발되어 감마나이프(gamma knife), 사이버나이프(cyber knife), 및 하이푸나이프(HIFU knife) 등이 출현하게 되었다. 본 논문에서는 이들 중 하이푸나이프를 이용한 체외강력집속초음파치료(extracorporeal high intensity focused ultrasound therapy)에 대하여 발달사, 치료기 구조 및 치료과정, 조직학적 변화와 기전, 임상적용, 장단점 및 전망 등을 살펴보고자 한다.

• 대한의용생체공학회:의공학회지
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• 제42권3호
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• pp.100-106
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• 2021

Measuring Intima-media thickness (IMT) with ultrasound images can help early detection of coronary artery disease. As a result, numerous machine learning studies have been conducted to measure IMT. However, most of these studies require several steps of pre-treatment to extract the boundary, and some require manual intervention, so they are not suitable for on-site treatment in urgent situations. in this paper, we propose to use deep learning networks U-Net, Attention U-Net, and Pretrained U-Net to automatically segment the intima-media complex. This study also applied the HE, HS, and CLAHE preprocessing technique to wireless portable ultrasound diagnostic device images. As a result, The average dice coefficient of HE applied Models is 71% and CLAHE applied Models is 70%, while the HS applied Models have improved as 72% dice coefficient. Among them, Pretrained U-Net showed the highest performance with an average of 74%. When comparing this with the mean value of IMT measured by Conventional wired ultrasound equipment, the highest correlation coefficient value was shown in the HS applied pretrained U-Net.

• 한국산업정보학회논문지
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• 제21권6호
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• pp.13-21
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• 2016

특징선택은 데이터 마이닝, 기계학습 분야에서 가장 중요한 이슈 중 하나로, 원본 데이터에서 가장 좋은 분류 성능을 보여줄 수 있는 특징들을 찾아내는 방법이다. 본 논문에서는 정보 입자성을 기반으로 한 neighborhood 러프집합 모델을 이용한 특징선택 방법을 제안한다. 제안된 방법의 효과성은 5,252명의 유방 초음파 영상으로부터 추출된 298가지의 특징들 중에서 유방 종양의 진단과 관련된 유용한 특징들을 선택하는 문제에 적용되었다. 실험결과 19가지의 진단적 특징을 찾을 수 있었고, 이때에 평균 분류 정확성은 97.6%를 보였다.

• Journal of Information Processing Systems
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• 제9권1호
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• pp.103-116
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• 2013

Prostate cancer is one of the most frequent cancers in men and is a major cause of mortality in the most of countries. In many diagnostic and treatment procedures for prostate disease accurate detection of prostate boundaries in transrectal ultrasound(TRUS) images is required. This is a challenging and difficult task due to weak prostate boundaries, speckle noise and the short range of gray levels. In this paper a method for automatic prostate segmentation in TRUS images using Gabor feature extraction and snake-like contour is presented. This method involves preprocessing, extracting Gabor feature, training, and prostate segmentation. The speckle reduction for preprocessing step has been achieved by using stick filter and top-hat transform has been implemented for smoothing the contour. A Gabor filter bank for extraction of rotation-invariant texture features has been implemented. A support vector machine(SVM) for training step has been used to get each feature of prostate and nonprostate. Finally, the boundary of prostate is extracted by the snake-like contour algorithm. A number of experiments are conducted to validate this method and results showed that this new algorithm extracted the prostate boundary with less than 10.2% of the accuracy which is relative to boundary provided manually by experts.

• Archives of Plastic Surgery
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• 제35권6호
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• pp.729-734
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• 2008

Purpose: The evaluation and management of a completely transected tendon of the hand is relatively clear. In most cases, the integrity is assessed by physical examination(eg, broken normal cascade, motion loss) but occasionally, It happens in troubles. because of pain, limited patient cooperation(eg, child, unconscious patient), and other associated injuries(eg, fractures, foreign bodies). Methods: From september 2006 to August 2007, 28 patients were evaluated with real time ultrasonography preoperatively and postoperatively. Twenty eight patients with injured tendon were evaluated using an HDI 5000 Sono CT(Philips Medical Systems, Bothell, WA) machine with a high resolution, 7.5MHz hockey stick linear probe. Dynamic evaluation was performed in real time. Results: Surgery was performed after the ultrasonographic evaluation. Sonographic diagnosis and intraoperative findings were correlated. Ultrasonographic findings show tendon discontinuity, gaps, and fluid collection. Conclusion: We conclude that ultrasonography is helpful in evaluating and managing acute tendon injury. Especially, in cases of completely lacerated tendon, ultrasonography can identify the location of the proximal tendon stump and partial lacerated tendon, ultrasonographic diagnostic tool can decrease misdiagnosis.

• 한국컴퓨터정보학회논문지
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• 제17권12호
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• pp.101-109
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• 2012

TRUS영상에서 전립선에 대한 많은 진단과 치료 과정에서 정확한 전립선 경계의 추출이 요구된다. 여기에는 전립선 경계의 애매함, 반점, 낮은 그레이 레벨로 인하여 많은 어려움이 존재한다. 본 논문에서는 서포트 벡터와 뱀형상 윤곽선을 이용하여 TRUS영상의 자동 전립선 분할에 대한 방법을 제안한다. 이 방법은 전처리, 가버 특성 추출, 학습, 전립선 추출 단계로 구성된다. 텍스처 특성을 추출하기 위하여 가버 필터 뱅크가 사용되며, 학습 과정에서 전립선과 비전립선의 각 특성을 얻기 위하여, SVM이 사용된다. 전립선의 경계는 뱀형상 윤곽 알고리즘에 의해 추출된다. 실험 결과, 제안된 알고리즘은 인간 전문가가 추출한 경계와 비교했을 때 9.3%보다 적은 차이로 전립선 경계를 추출할 수 있었다.