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      • 키넥트를 이용한 피아노 교육시스템

        노승민(Seungmin Rho),김정혁(Jung-Hyuck Kim),박선정(Sun-Jeong Park),김준호(Junho Kim) (사)한국CDE학회 2013 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2013 No.8

        We introduce an automatic piano tutor system using low-cost consumer-level depth camera, such as Kinect. The proposed system determines whether the user plays the score of a given music successfully by sensing the performer"s touches on piano keyboard with Kinect. Moreover, the system guides the correct fingering by using markers cast from a beam-projector. As a result, the system provides an effective approach to self taught piano lessons to performers who are not good at reading scores.

      • 모형을 이용한 CT상의 폐결절 크기계측에 관한 연구

        김정혁,정원균,서원혁 고려대학교 의과대학 1987 고려대 의대 잡지 Vol.24 No.1

        It has been well known that the role of computed tomography (CT) to evaluate pulmonary nodules, concerning CT attenuation values, size determination, and edge patterns. Although the assessment of the size of pulmonary nodules is not sufficiently accurate to distinguish benign from malignant lesions, the measurement of the real size of the lesion is still being stressed on CT examination. Many authors have indicated that solitary pulmonary nodules (SPNs), measured by 2.0㎝ or less in diameter, were more apt to be benign. And lung cancers which were less than 3.0 ㎝ in the greatest diameter have been considered T1 lesion on the base of TNM system (The American Joint Comitte for Cancer Staging), while tumors more than 3.0㎝ have already been T2 lesion. But as the CT is a synthetic image, the size of the lesion displayed on CT are greatly influenced by various factors. The author designed a chest and lung phantom with pulmonary nodules that enabled the accurate measurement of the size of SPNs on various window setting, and proposed the optimal window center (WC) for measurement of the real size on CT. The results were fellows: 1. As CT No. of SPNs increase on a fixed window center and width, an error of size also increase. 2. The measurement of size of SPNs are greatly influenced by window setting. 3. The size of SPNs is decreased, as the window center is increased, 4. It is not correspond with between the measured (WC) or real size and WC which is optimal for viewing. 5. The optimal WC for measurement of real sire is on -500HU and -400HU. 6. CT No. of wall of chest phantom with various amount of fat did not greatly influence size measurement of nodules.

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      • 電算化斷層撮影을 利用한 腎容積에 關한 硏究 : An experimental study in pig kidneys and renal volume in normal Korean adults

        安敬秀,金正爀,徐源赫 고려대학교 의과대학 1985 고려대 의대 잡지 Vol.22 No.3

        Computed tomography (CT) potentially offers the most accurate means of estimating organ volumes in vivo. Authors measured the volume of the pig kidneys by CT in vitro, and measured by water displacement method for accuracy evaluation of CT method. Eleven fresh pig kidneys (120 to 200 gm) were steeped in saline plastic tray, scanned with Siemens Somatom Ⅱ whole body scanner using slice thickness 0.8cm, interval 1.0cm and scan time 5sec as like usual abdominal CT scan. Immediately after completion of the CT scan, the volume and various dimension were determined. And 130 cases of normal Korean adults were selected arbitrarily in 6 groups of every decades, male and female, 10 to 12 cases in each group, and measured the renal dimensions and volume by CT. The results were as follow: 1. Renal size measurement by CT was rapid and relatively simple procedure that is accurate to=4% in nephrectomized pig kidneys. And there was no statistical difference between CT method and direct measurement (P-value>0.05). 2. The renal volume of normal Korean adult was in the range of 110.7㎤-350.4㎤. 3. Average of male renal volume was 213.2±56.7㎤ on left, and 167.6±55.2㎤ on right, in female, average renal volume was 177.9±36.4㎤ on left, and 171.9±35.6㎤ on right. 4. Male renal volume was about 30㎤ larger than that of female, and left kidney was about 10㎤ larger in volume than that of right. 5. In 43 cases of 130 cases(33%), no right and left size differences were noted or right renal volumes were larger than those of left. In male, renal volume was increased gradually from 21-30 years group, and at age of 51-60 years group, the renal volume was peak. After then, the kidneys decrease gradually in volume with advancing age. But there was no evidence of age group difference in female renal volume. 6. In correlation between renal volume and length, breadth, AP dimension, the index was 0.575. So the ellipsoid equation was modified to V=0.575×L×B×AP dimension(V : volume, B : breadth, L : length). 7. CT is one of the accurate and simple method to measure the organ volume in vivo.

      • 늑막의 악성 중피종과 전이의 감별진단 : CT소견을 중심으로 CT Evaluation

        오유환,김형수,김정혁,정규병,서원혁 고려대학교 의과대학 1997 고려대 의대 잡지 Vol.34 No.1

        The aim of our study was to evaluate CT features which are helpful in differentiating malignant pleural mesothelioma and metastasis of the pleura. We evaluation CT findings of histopathologically proved 7 cases of mesotherlioma and 15 cases of metastasis retrospectively. The scans were assessed for unilaterality, pleural rind, hilar lymphandenopathy, mediastinal pleura involvement, calcification, pleural effusion, loss of volume, most pronounced lesion area according to trisected hemithorax and prominent nodularity. Unilaterality was seen in 6 cases (86%) of mesothelioma, 13 cases (87%) of metstasis. Pleural rind was seen in 6 cases (86%) of mesothelioma, 9 cases (60%) of metastasis. Hilar lymphadenopathy was seen in 1 case (14%) of mesothelioma, 4 cases (26%). Mediastinal pleural involvement was seen in 6 cases (86%) of mesothelioma, 14 cases (93%) of metastasis. Pleural calcification was seen in 2 cases (29%) in mesothelioma, 2 cases (13%) in metastasis. Pleural effusion was seen in 5 cases (71%) of mesothelioma, 13 cases (87%) of metastasis. Loss of volume was seen 4 cases (57%) of mesothelioma, 10 cases (67%) in metastasis. Mesotheliomas show most pronounced pleural lesion in lower hemithorax in 5 cases (71%), whereas 1 case (7%) in metastasis. Prominent nodularity was more commonly found in metastasis (mesothelioma=29%, metastasis=80%). In the majority of patients, mesothelioma could not be distinguished from metastasis on CT. However, the tendency of mesothelioma to involve the lower hemithorax and the presence of prominent nodularity in metastasis may be helpful CT findings in differentiation of both diseases.

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