著者

繁田 亜友子 原田 雅樹 周藤 安造

出版者

日本医用画像工学会

雑誌

Medical Imaging Technology (ISSN:0288450X)

巻号頁・発行日

vol.25, no.3, pp.160, 2007 (Released:2016-02-20)

著者

周藤 安造

出版者

東海大学

雑誌

東海大学紀要. 開発工学部 (ISSN:09177612)

巻号頁・発行日

vol.3, pp.23-29, 1994-03-30

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As a result of rapid progress in computer graphics and CAD techniques. the clinical use of 3-dimensional images as an aid for various medcal procedures is becoming increasingly common. One such application is the surgical simulation system, which assists surgeons in planning surgical procedures by allowing them to be performed first on the computer screen. Great progress in medical electronics and computer technologies has made useful surgical simulation syttems possible. However there are some problems which prevent routine use of the system. This paper describes research towards soluins these problems, which involves understanding the technical status of recent surgical simulation systems.

著者

周藤 安造

出版者

東海大学

雑誌

東海大学紀要. 開発工学部 (ISSN:09177612)

巻号頁・発行日

pp.87-96, 1992-03-30

被引用文献数

1

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Recently, there has been much research into volume rendering as a new technique for visualizing the three-dimensional structures of the human body. Here, we define volume data as either continuous or discrete data, describing surfaces and internal structures. Discrete data in generally represented as an array of voxels with values representing a measured quantity such as X-ray CT number. Continuous data is described using functions defined over a spatial domain. To render the volume, we first assign an opacity and a color value (with separate red, green and blue components) to each voxel. Then, the internal structure is visualized by casting rays through the volume. By changing the opacity and color values, the appearance of the internal structure can be varied. However, there are some problems associated with volume rendering such as the large data sets, long processing times, etc. This paper systematically summarizes volume rendering methods used in medical applications, especially computer simulations using X-ray CT data, evaluates the usefulness of the methods, and describes likely future developments.