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뇌동맥류파열에 의한 지주막하출혈 환자에서 99mTc - HMPAO SPECT 검사의 유용성
이동수(D . S . Lee),정준기(J . K . Chung),이명철(M . C . Lee),고창순(C . S . Koh),최창운(C . W . Choi),이경한(K . H . Lee),김종호(J . H . Kim),곽철은(C . E . Kwark),한대희(D . H . Han) 대한핵의학회 1993 핵의학 분자영상 Vol.27 No.2
N/A We evaluated the usefulness of Tc-99m-HMPAO SPECT in 21 Patients with subarachnoid hemorrhage due to ruptured intracranial aneurysm and in 3 patients with unruptured intracranial aneurysm. SPECT study could detect the bilaterally hypoperfused cases in 10 patients(48%), but CT/MRI showed the bilateral abnormalities in only 3 patients(14%). The number of abnormal lesions were 56 in SPECT and 25 in CT/MRI. The lesions found in SPECT were well correlated with the neurological signs of the patients such as aphasia or hemiplegia. SPECT study during Matas test was helpful in evaluating the risk for carotid artery occlusion therapy. We thought that Tc-99m-HMPAO brain SPECT is helpful in evaluating the functional changes in patients with subarachnoid hemorrhage.
급성(急性) 신부전(腎不全)이 동반(同伴)된 근양사(筋壤死)에 있어서의 $^{99m}Tc$-MDP 골주사(骨走査)
문희범,한진석,김삼용,조보연,이정상,고창순,조경삼,Moon, H.B.,Han, J.S.,Kim, S.Y.,Cho, B.Y.,Lee, J.S.,Koh, C.S.,Cho, K.S. 대한핵의학회 1980 핵의학 분자영상 Vol.14 No.2
We studied four patients with muscle necrosis associated with acute renal failure to evaluate the diagnostic value of the bone scan in this disease. The illness followed carbon monoxide poisoning in two patients, acute physical exertion in one and contaminated intramuscular injection in the other. Whole-body rectilinear bone scans using technetium 99m-methyldiphosphonate were done. In all patients, increased muscle labelling at the regions of suspected muscle injury was showed, and in one, it was after normalization of serum muscle enzyme levels. In one patient, the bone scan was rechecked 8 months later and showed no residual abnormality. Above all, the site and precise extent of muscle injury could be detected and the degree of muscle labelling seemed to correlate with the severy of muscle injury. These findings suggest that isotope scanning may be useful in the diagnosis of patients with acute muscle necrosis.
휴식 / 부하 심근 Rubidium - 82 양전자단층촬영과 부하 / 휴식 심근 Tc - 99m - MIBI 단일광자단층촬영의 비교
이동수(D . S . Lee),정준기(J . K . Chung),이명철(M . C . Lee),고창순(C . S . Koh),이경한(K . H . Lee),강건욱(K . W . Kang),정재민(J . M . Jeong),곽철은(C . Kwark),서정돈(J . D . Seo) 대한핵의학회 1995 핵의학 분자영상 Vol.29 No.1
N/A We compared stress/rest myocardial Tc-99m-MIBI tomographic image findings with rest/stress rubidium-82 tomographic images. In 23 patients with coronary artery disease (12 of them received bypass grafts before) and 6 normal subjects, rest rubidium PET study was performed, rubidium-82 and Tc-99m-MrBI were injected simultaneously to each patient after dipyridamole stress for rubidium PET and MIBI SPECT; and rest MIBI SPECT was performed 4 hours thereafter. We scored segmental decrease of rubidium, or MIBI uptakes into 5 grades for 29 segments from 3 short-axis, vertical and horizontal slices. Scores were summed for each major arterial territory. When more score than two grade-2's or one grade-3 was considered as the cue for significant stenosis for major arterial territories, 67% of 46 stenosed arteries were found with MIBI studies and 78% of them by rubidium studies. Fourteen among 28 grafted arterial territories of 12 post-CABG patients were found normal with both rubidium and MIBI. Segmental scores were concordant between rubidium and MIBI in 72% of 709-stress segments and in 80% of 825 rest segments. Stress rubidium segmental scores were less than stress MIBI scores in 9%, so were rest rubidium scores. Stress rubidium scores were more than stress MIBI scores in 20% of segments, and rest rubidium segmental scores were more than rest MIBI scores in 11%. Rank correlations (Spearman's rho's more than 0.7(stress) and 0.5(rest), slopes (MIBI/rubidium) around 0.7(stress) and 0.9(rest) suggested deeper and wider defects in stress with rubidium. Slope over 1 (MIBI/rubidium) with LAD segemental scores at rest and 7 territories which had much larger score with MIBI revealed exaggeration of rest defects with rest MIBI in same-day stress/rest study. Difference scores (stress-rest for each territory) suggesting ischemia were larger with rubidium (slope of MIBI/rubidium around 0.45). As has been implied by animal or separate-day- human studies, these segmental analyses with simultaneous examination in patients told that rubi
게이트 99mTc - MIBI 심근 SPECT의 심근 분절 운동 평가능력
이동수(D . S . Lee),정준기(J . K . Chung),이명철(M . C . Lee),김선욱(S . W . Kim),김상현(S . H . Kim),현인영(I . Y . Hyun),이명묵(M . M . Lee),고창순(C . S. Koh) 대한핵의학회 1995 핵의학 분자영상 Vol.29 No.4
N/A Information about regional wall motion obtained with gated Tc-99m-MIBI SPECT was compared in 23 subjects(4 normals) to echocardiography or contrast left ventriculography. Gated SPECT study using 20-30 mCi Tc-99m-MIBI were aquired for 8 frames/RR interval (aqusition time=40min.) and processed with Cine Mode computer protocol. Regional wall motion was assessed by visual analysis. The concordance with echocardiography was 88% and with contrast ventriculography was 78%. We conclude that gated Tc-99m-MIBI SPECT was effective in assessing the regional wall motion with the information of regional perfusion in one study.
문맥 표현과 셀프 어텐션을 이용한 한국어 영화평 감성 분석
박천음(Cheoneum Park),이동헌(Dongheon Lee),김기훈(Kihoon Kim),이창기(Changki Lee),김현기(Hyunki Kim) 한국정보과학회 2019 정보과학회논문지 Vol.46 No.9
감성 분석은 특정 대상에 대한 의견을 수집하고 분류하는 과정이다. 그러나 자연어에 포함된 사람의 주관을 파악하는 일은 어려운 일로써, 기존의 감성 단어 사전이나 확률 모델은 이러한 문제를 해결하기 어려웠으나 딥 러닝의 발전으로 문제 해결을 시도할 수 있게 됐다. 셀프 어텐션(self-attention)은 주어진 입력열 자신에 대하여 어텐션을 계산하고 가중치 합으로 문맥 벡터를 만들어 모델링하는 방법이며, 문맥상 비슷한 의미를 가진 단어들 간에 높은 가중치가 계산되는 효과가 있다. 본 논문에서는 사전 학습된 문맥 표현을 한국어 감성 분석에 활용하고, 셀프 어텐션으로 모델링하는 방법을 제안한다. 실험 결과, NSMC의 경우 정확도 89.82%, 다음카카오의 경우 92.25%의 성능을 보였다. Sentiment analysis is the processing task that involves collecting and classifying opinions about a specific object. However, it is difficult to grasp the subjectivity of a person using natural language, so the existing sentimental word dictionaries or probabilistic models cannot solve such a task, but the development of deep learning made it possible to solve the task. Self-attention is a method of modeling a given input sequence by calculating the attention weight of the input sequence itself and constructing a context vector with a weighted sum. In the context, a high weight is calculated between words with similar meanings. In this paper, we propose a method using a modeling network with self-attention and pre-trained contextualized embedding to solve the sentiment analysis task. The experimental result shows an accuracy of 89.82%.