医用画像情報学会雑誌
Online ISSN : 1880-4977
Print ISSN : 0910-1543
ISSN-L : 0910-1543
15 巻, 1 号
選択された号の論文の6件中1~6を表示しています
  • 畑田 豊彦
    1998 年 15 巻 1 号 p. 2-10
    発行日: 1998/01/05
    公開日: 2012/08/27
    ジャーナル フリー
    これまで人間の情報受容能力は閾値特性を中心に検討し,それに応じて情報表示条件が決定されてきた. これに対して,人間の閾値特性を見直し,情報利用が効果的に,しかも眼に優しい表示条件を見出すことが重要になりつつある. 今後利用が期待される3Dディスプレイ等の利用者側から要求される表示条件を整理した.
  • 久米 祐一郎
    1998 年 15 巻 1 号 p. 11-20
    発行日: 1998/01/05
    公開日: 2012/08/27
    ジャーナル フリー
    Interaction with virtual objects in 3D spaces requires sophysticated human interface devices, especially to implement virtual environments. Visual points have to be measured in real-time to see motion pictures by 3D displays. Human body parts have to be measured in real-time to touch and move virtual objects produced by 3D displays optically. Tactile/force feedbback techniques are also required to interact with the virtual objects. A number of techniques have been proposed. This paper reviews major techniques to detect human body parts to interact with 3D space, and to display tactile/force feed back cues.
  • 五藤 三樹, 遠藤 登喜子, 藤田 広志
    1998 年 15 巻 1 号 p. 27-35
    発行日: 1998/01/05
    公開日: 2012/08/27
    ジャーナル フリー
    To get the knowledge of the diagnostic process when experts diagnose breast cancers by using mammograms is one of the important subjects in constructing the computer-aided diagnosis(CAD)system for detecting breast cancers. In this study, we investigated the classification flowchart for the diagnosis of breast masses on mammograms in cooperation with an expert radiologist. From many features of the masses such as “sharp outline” and “stellate boundary”, we selected 13 features and weighted them by integer values from-1 to 2. The classification was achieved based on the total amount of the weighted values for all features. We examined our classification flowchart by use of 99 mammograms, and found that except the very difficult three cases the classification rate for defining the mass as malignancy or benign was very high, i. e. sensitivity of 84% and spesificity of 96%.
  • 丹羽 克味, 太田 嘉英, 山田 英彦, 奥村 泰彦, 大坊 元二
    1998 年 15 巻 1 号 p. 36-42
    発行日: 1998/01/05
    公開日: 2012/08/27
    ジャーナル フリー
    The purpose of this study was to clarify the basic points in MTF measurement of the intensifying screen and film combination. The LSF mesurement was carried out by the slit method. The results obtained were as follows:
    In the MTF mesurements of intensifying screen, in case that the LSF was calculated in conventional manner by the combination of intensifying screen and film, it was shown experimentally that there were differences in LSF depending on the developmental condition.
    It was shown that the LSF obtained by low gamma developmental processing had narrow width than that by high gamma processing.
    It was concluded that this phenomenon was caused by the effect of the light irradition from the high-density part of the slit image.
  • 心動態的解析方法による評価
    山口 弘次郎, 武藤 晃一, 徳田 衛, 近藤 武, 元山 貞子, 松葉 玲, 王建 華, 江本 豊, 渡辺 佳彦, 片田 和廣, 瓜谷 富 ...
    1998 年 15 巻 1 号 p. 43-52
    発行日: 1998/01/05
    公開日: 2012/08/27
    ジャーナル フリー
    To accurately evaluate regional septal wall motion using the mechanical strain analyzing method on the interventricular septal section, DANTE-tagging cine MRI was performed in 4 normal volunteers,3 patients with anteroseptal myocardial infarction and 1 patient with dilated cardiomyopathy. Although the %shortening and %strain curves showed complex patterns, the megn %contraction (changes of ROI area) was 72.7±2.8%, and the %contraction curve of any ROI was smooth in normal subjects. In patients with heart diseases, the %contraction was generally lower than that of normal volunteers, and expansion was shown in some patients. The patterns of %shortening and %strain curves were also complicated.
    In conclusion, the DANTE-tagging method is useful for accurate evaluation of regional wall motion in detail.
  • 渡邉 伸司, 蔡 篤儀, 小島 克之, 山田 功
    1998 年 15 巻 1 号 p. 53-60
    発行日: 1998/01/05
    公開日: 2012/08/27
    ジャーナル フリー
    In our previous study we reported an artificial neural network (NN) trained by genetic algorithms (GA) instead of that trained by the conventional backpropagation (BP) technique, and applied this GA training method to classifying heart diseases in echocardiograms. The results showed that the GA-based NN was superior to the BP-based NN in terms of classification rate as well as the ease of numerical computation. However, the reliability issue was the drawback of the proposed method. In order to overcome the shortcoming, in the present study we propose an improved method by employing multiple fitness functions in the selection operation used in the GA. Our preliminary results reveal the effectiveness of the newly proposed method.
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