Medical Imaging and Information Sciences
Online ISSN : 1880-4977
Print ISSN : 0910-1543
ISSN-L : 0910-1543
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Volume 23, Issue 5
Displaying 1-5 of 5 articles from this issue
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  • Act for the Protection of Personal Information Retained by Independent Administrative Institutions and Medical Information
    Yasushi SHIMOI
    2006 Volume 23 Issue 5 Pages 126-129
    Published: 2006
    Released on J-STAGE: January 17, 2007
    DOIhttps://doi.org/10.11318/mii.23.126
    JOURNAL FREE ACCESS
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    In 2003, Act for the Protection of Personal Information (LPPPI) is stipulated as the basic law that determines the basic framework common to the public and private sector as well as serving as the general law. Under this stipulation of basic law, the Act on Protection of Personal Information Retained by Administrative Organs (APPIRAO) and the Act for the Protection of Personal Information Retained by Independent Administrative Institutions (APPIRIAI) are established. These 3 act on Protection of Personal Information were implanted at 1 April 2005. To national universities APPIRIAI is applied, to private hospitals LPPPI, and to hospitals and universities instituted by local public entity a local ordinance on protection of personal information in each entity. APPIRIAI stipulates about the limitation on the retention on the personal information, the limitation on use and disclosure and the right to request disclosure, correction and suspension by the subject
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  • A strategy to estimate liver fibrosis level based on vascular-structure analysis in CTAP
    Masahiro ISHIKAWA, Hidaka UCHIDA, Yoshinobu MAEDA, Masanobu YAMAMOTO, ...
    2006 Volume 23 Issue 5 Pages 130-135
    Published: 2006
    Released on J-STAGE: January 17, 2007
    DOIhttps://doi.org/10.11318/mii.23.130
    JOURNAL FREE ACCESS
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    Chronic liver disease causes health problem such as hepatic failure or hepatocellular carcinoma. As the disease progresses, some fibroses become apparent, and, as such, influence a vascular structure. We have proposed, previously, a method to extract various vascular features from CTAP images. In this paper we suggested that the method improved in this paper should be applicable to CTAP images of 9 patients. It reveals that the vascular-structure analysis can be useful for estimating liver fibrosis level.
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  • The Theory of Cross Point Regions with Ideal Cross Point Regions for Medical Image Compression
    DANG Thanh Tin, VU Dinh Thanh, NGUYEN Kim Sach, Seihaku HIGUCHI
    2006 Volume 23 Issue 5 Pages 136-140
    Published: 2006
    Released on J-STAGE: January 17, 2007
    DOIhttps://doi.org/10.11318/mii.23.136
    JOURNAL FREE ACCESS
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    This paper presents the scheme LIC-ICR (Lossless Image Compression with Ideal Cross point Regions in the theory of cross point regions) for lossless encoding and decoding images, especially medical images with the optimization of probability of cross points which are neighbor to the points of grey levels 2n. The base of this statement is the effect of Gray coding on cross points. Before Gray coding an adjacent data set of cross points is determined, it is called the ideal cross point region. After Gray coding this region always contains bits 1 on the bit plane n-1 (or bits 0 on the bit plane n-2) after bit plane decomposition. This is like the characteristic of images being that the data do not change much in a specific area, espescially in medical images which have many regions with the same grey levels. The only bit state in ideal cross point regions is very good at entropy coding because probabilities of data bits is 1 there. This optimization of probability has important effects on encoding and decoding processes of lossless medical image compression.
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  • An automatic extraction method of liver vessels in non-contrast X-ray CT images
    Suguru KAWAJIRI, Xiangrong ZHOU, Xuejung ZHANG, Takeshi HARA, Hiroshi ...
    2006 Volume 23 Issue 5 Pages 141-144
    Published: 2006
    Released on J-STAGE: January 17, 2007
    DOIhttps://doi.org/10.11318/mii.23.141
    JOURNAL FREE ACCESS
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    We propose a new method for liver vessel extraction from 3-D non-contrast X-ray CT images and evaluate the performance of the method. First, the X-ray CT images are smoothed to reduce the noise using a median filter following by the extraction of liver region, and then the voxels in the range of pre-estimated liver-vessel grayscale levels are enhanced. Moreover, the line components in the liver are enhanced using multi-scale filtering. Finally, the liver vessels are extracted by using binalization. Twenty cases including two cases of contrast-enhanced CT images were employed to validate the proposed method by visual assessment between the vessel-enhanced result from non-contrast CT images and the result of vessels from contrast-enhanced CT images. It was found from our preliminary study that our proposed method may be useful to enhance liver vessels in non-contrast CT images.
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  • Report of IMEKO XVIII World Congress
    Katsuyuki KOJIMA, Du-Yih TSAI
    2006 Volume 23 Issue 5 Pages 145-148
    Published: 2006
    Released on J-STAGE: January 17, 2007
    DOIhttps://doi.org/10.11318/mii.23.145
    JOURNAL FREE ACCESS
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