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Volume 24 (2007)
- Issue 4 Pages 119-
- Issue 3 Pages 103-
- Issue 2 Pages 22-
- Issue 1 Pages 1-
Volume 24, Issue 4
Displaying 1-3 of 3 articles from this issue
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Yuta NAKANO, Tomoharu NAGAO2007 Volume 24 Issue 4 Pages 119-125
Published: November 01, 2007
Released on J-STAGE: February 06, 2008
JOURNAL FREE ACCESSRecently, we often deal with multi-dimensional image data such as 3D volume data and video data. Especially, in the medical image processing field, we are required to process 3D volume data, for instance CT, MRI and PET processing. In general, however, it is not easy to construct complex 3D processing procedures manually compared with 2D ones. Therefore, a lot of knowledge and experiences about image processing are necessary in this field. A lot of multi-dimensional image processing algorithms which can apply complex problem have been developed. However most of these methods require adjusting many parameters and processing procedures manually by trial and error every other problem. Thus, we propose a new method named "3D-ACTIT; Automatic Construction of Tree-structural Image Transformation" to make various 3D image processing procedures automatically. 3D-ACTIT constructs tree-structured image processing filter with one input one output filter and two input one output filter by using Genetic Programming to satisfy the given several image examples. In this paper, we apply 3D-ACTIT to 3D-PET image data and construct the processing which extracts kidney and lung regions. Experimental results show that complex 3D image processing procedures can be constructed automatically.View full abstractDownload PDF (885K) -
Shoji KIDO, Hayaru SHOUNO2007 Volume 24 Issue 4 Pages 126-130
Published: November 01, 2007
Released on J-STAGE: February 06, 2008
JOURNAL FREE ACCESSWe have developed the temporal subtraction method of thoracic CT images by use of displacements of ribs and elastic object model. In the first step, we calculated the rotation parameters of the extracted rib centerlines those were extracted by a plane sweep method. In the next step, we estimated accuracy of registration for images by inputting displacements of the extracted ribs to elastic object model. In the third step, we registered one image to the other image with estimated parameters. Finally, subtracted images were obtained. We applied this method to 14 pairs of thoracic CT image series for evaluation of our method.View full abstractDownload PDF (509K) -
Tetsuo SHIMADA, Masaru SEKIYA, Shahriar AHMED, Masaki Turumaki, Naoki ...2007 Volume 24 Issue 4 Pages 131-135
Published: November 01, 2007
Released on J-STAGE: February 06, 2008
JOURNAL FREE ACCESSWe have been developing a portable X-ray Photography Preview System for past few years for the use in Home Medical Care. In order to develop a convenient and low cost Preview System we have focused on the penetrated ray of a conventional film /screen X-ray photography system. Previously we have reported, a system using CDS array that detect penetrated X-ray to prepare a real time preview image through intensifying screen. However, the electrical response and physical size of the CDS dominated the quality of an acceptable preview image. In this study we have therefore, proposed a detector with fiber optic instead of CDS. We have fabricated an array of 1, 273 fibers those arranged in order on a 35cm× 35cm cassette. As our proposed detector is integrated into the conventional X-ray film cassette, it neither generates additional exposure, nor increases additional workload for preparing a preview image. In order to demonstrate the quality of preview image and adequateness of the system, we have experimented applying X-ray. We have succeeded to get a preview image suggesting higher possibility of clinical use as a detector for a real time preview system.View full abstractDownload PDF (512K)
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