Presentation | 2007-01-26 Body part classification Algorithm baced on Spatial Structure that uses Multi-detector row CT images Mami NOHARA, Hidenobu SUZUKI, Shinsuke SAITA, Mitsuru KUBO, Yoshiki KAWATA, Noboru NIKI, Hiromu NISHITANI, Hironobu OHMATSU, Ryutaro KAKINUMA, Kenji EGUTI, Masahiro KANEKO, Noriyuki MORIYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently multi-detector row CT (MDCT) scanners allow us to measure whole-body CT images with high spatial resolution in a short time period. The large mount of image data acquired with MDCT may lead to information overload for the radiologist or physicians who must interpret the data. For this limitation, computerized methods for abnormalities detection are quickly becoming a necessity. It might be preferable to develop software modules of computerized method depending on body region of interest in whole-body CT images. This paper presents a method to automatically identify body parts from input CT images that took a picture of each part of body. In this method, we utilized bone region that anatomical shapes of typical body parts. This time report is that air area and bone area are wrapped by using close convex hull. Examination of features was done to training data and an excellent result was obtained. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | The multi-slice CT images / DICOM / Classification of examined region |
Paper # | MI2006-88 |
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Committee | MI |
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Conference Date | 2007/1/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Medical Imaging (MI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Body part classification Algorithm baced on Spatial Structure that uses Multi-detector row CT images |
Sub Title (in English) | |
Keyword(1) | The multi-slice CT images |
Keyword(2) | DICOM |
Keyword(3) | Classification of examined region |
1st Author's Name | Mami NOHARA |
1st Author's Affiliation | Optical Science and Technology, The University of Tokushima() |
2nd Author's Name | Hidenobu SUZUKI |
2nd Author's Affiliation | System Innovation Engineering Graduate School of Advanced Technology and Science, The University of Tokushima |
3rd Author's Name | Shinsuke SAITA |
3rd Author's Affiliation | System Innovation Engineering Graduate School of Advanced Technology and Science, The University of Tokushima:Institute of Technology and Science, The University of Tokushima |
4th Author's Name | Mitsuru KUBO |
4th Author's Affiliation | System Innovation Engineering Graduate School of Advanced Technology and Science, The University of Tokushima:Institute of Technology and Science, The University of Tokushima |
5th Author's Name | Yoshiki KAWATA |
5th Author's Affiliation | System Innovation Engineering Graduate School of Advanced Technology and Science, The University of Tokushima:Institute of Technology and Science, The University of Tokushima |
6th Author's Name | Noboru NIKI |
6th Author's Affiliation | System Innovation Engineering Graduate School of Advanced Technology and Science, The University of Tokushima:Institute of Technology and Science, The University of Tokushima |
7th Author's Name | Hiromu NISHITANI |
7th Author's Affiliation | Institute of Health Biosciences, The University of Tokushima Graduate School |
8th Author's Name | Hironobu OHMATSU |
8th Author's Affiliation | National Cancer Center Hospital East |
9th Author's Name | Ryutaro KAKINUMA |
9th Author's Affiliation | National Cancer Research Center for Cancer Prevention and Screening |
10th Author's Name | Kenji EGUTI |
10th Author's Affiliation | Tokai University, School of Medicine |
11th Author's Name | Masahiro KANEKO |
11th Author's Affiliation | National Cancer Center Hospital |
12th Author's Name | Noriyuki MORIYAMA |
12th Author's Affiliation | National Cancer Research Center for Cancer Prevention and Screening |
Date | 2007-01-26 |
Paper # | MI2006-88 |
Volume (vol) | vol.106 |
Number (no) | 509 |
Page | pp.pp.- |
#Pages | 4 |
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