| 講演名 | 2015-11-12 Approximate Finding Pathologic Lesion Volume from One Dimension CT Scan by Semi-automatically Select Area and Average Slop at 2 Points Conjunction Piyavach Khunsongkiet(Chiang Mai University), Ekkarat Boonchieng(Chiang Mai University), |
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| 抄録(和) | Computed tomography scanning (CT scanning) is widely used in Pathologic Lesion detecting, radiotherapy health care planning because it has proven so valuable as a medical diagnostic and follow up patient tool. CT shows electronic densities of tissues of interest which are mandatory area and help diagnostic. Some basic detect progression of healing is repeating ct scan with the patient on the next follow up. Example, if the Pathologic Lesion volume is smaller, the progression of medication is right. The simple method to find the increasing volume of the Pathologic Lesion is to measure the maximum width, maximum long and height by using two dimension of CT scanning (If the Pathologic Lesion is quite bald, it can measure like this). But in this case, it is hard to correctly detect and has a lot of error. If the Pathologic Lesion is not bald, but in unknown sharp like the coral shape, it is very hard to find the volume growing or not. From above the problem will solve by measurement the computer. The simple in this research concept is to find the contours of the Pathologic Lesion in the image. After that, connect the point of the edge by linear interpolation method and find the area. In the actual case, want the smooth curve and bald of the edge that is better shape. In this research, re-drawing the edge by using the slop interpolate every point to the curve of the edge and determine the area of the slop. Every area of each CT segments could be found by the method above. Finally, every area multiply by the distance of each slide and plus every volume together will be the approximate volume of the Pathologic Lesion. In the research will show you how to find the volume on the single dimension CT scan. At the last section, this research shows the linear interpolation area the comparison with average slop at two point conjunction interpolation technique and how much the difference volume is. |
| 抄録(英) | Computed tomography scanning (CT scanning) is widely used in Pathologic Lesion detecting, radiotherapy health care planning because it has proven so valuable as a medical diagnostic and follow up patient tool. CT shows electronic densities of tissues of interest which are mandatory area and help diagnostic. Some basic detect progression of healing is repeating ct scan with the patient on the next follow up. Example, if the Pathologic Lesion volume is smaller, the progression of medication is right. The simple method to find the increasing volume of the Pathologic Lesion is to measure the maximum width, maximum long and height by using two dimension of CT scanning (If the Pathologic Lesion is quite bald, it can measure like this). But in this case, it is hard to correctly detect and has a lot of error. If the Pathologic Lesion is not bald, but in unknown sharp like the coral shape, it is very hard to find the volume growing or not. From above the problem will solve by measurement the computer. The simple in this research concept is to find the contours of the Pathologic Lesion in the image. After that, connect the point of the edge by linear interpolation method and find the area. In the actual case, want the smooth curve and bald of the edge that is better shape. In this research, re-drawing the edge by using the slop interpolate every point to the curve of the edge and determine the area of the slop. Every area of each CT segments could be found by the method above. Finally, every area multiply by the distance of each slide and plus every volume together will be the approximate volume of the Pathologic Lesion. In the research will show you how to find the volume on the single dimension CT scan. At the last section, this research shows the linear interpolation area the comparison with average slop at two point conjunction interpolation technique and how much the difference volume is. |
| キーワード(和) | CT scan / area / Pathologic Lesion / volume / image processing / interpolation / approximate / linear |
| キーワード(英) | CT scan / area / Pathologic Lesion / volume / image processing / interpolation / approximate / linear |
| 資料番号 | IA2015-45 |
| 発行日 | 2015-11-05 (IA) |
| 研究会情報 | |
| 研究会 | IA |
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| 開催期間 | 2015/11/12(から2日開催) |
| 開催地（和） | 成田ビューホテル |
| 開催地（英） | NARITA VIEW HOTEL |
| テーマ（和） | IA2015 - Workshop on Internet Architecture and Applications 2015 （日本学術振興会 インターネット技術第163委員会 共催） |
| テーマ（英） | IA2015 - Workshop on Internet Architecture and Applications 2015, Co-hosted with ITRC meet38 as Asia Internet Technology Joint Symposium |
| 委員長氏名（和） | 吉田 健一(筑波大) |
| 委員長氏名（英） | Ken-ichi Yoshida(Univ. of Tsukuba) |
| 副委員長氏名（和） | 大崎 博之(関西学院大) / 地引 昌弘(NICT) / 中村 豊(九工大) |
| 副委員長氏名（英） | Hiroyuki Osaki(Kwansei Gakuin Univ.) / Masahiro Jibiki(NICT) / Yutaka Nakamura(Kyushu Inst. of Tech.) |
| 幹事氏名（和） | 松浦 知史(東工大) / 義久 智樹(阪大) |
| 幹事氏名（英） | Satoshi Matsuura(Tokyo Inst. of Tech.) / Tomoki Yoshihisa(Osaka Univ.) |
| 幹事補佐氏名（和） | 屏 雄一郎(KDDI研) / 山本 寛(立命館大) / 渡辺 俊貴(NEC) |
| 幹事補佐氏名（英） | Yuichiro Hei(KDDI R&D Labs.) / Hiroshi Yamamoto(Ritsumeikan Univ.) / Toshiki Watanabe(NEC) |
| 講演論文情報詳細 | |
| 申込み研究会 | Technical Committee on Internet Architecture |
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| 本文の言語 | ENG |
| タイトル（和） | |
| サブタイトル（和） | |
| タイトル（英） | Approximate Finding Pathologic Lesion Volume from One Dimension CT Scan by Semi-automatically Select Area and Average Slop at 2 Points Conjunction |
| サブタイトル（和） | |
| キーワード(1)（和/英） | CT scan / CT scan |
| キーワード(2)（和/英） | area / area |
| キーワード(3)（和/英） | Pathologic Lesion / Pathologic Lesion |
| キーワード(4)（和/英） | volume / volume |
| キーワード(5)（和/英） | image processing / image processing |
| キーワード(6)（和/英） | interpolation / interpolation |
| キーワード(7)（和/英） | approximate / approximate |
| キーワード(8)（和/英） | linear / linear |
| 第 1 著者 氏名（和/英） | Piyavach Khunsongkiet / Piyavach Khunsongkiet |
| 第 1 著者 所属（和/英） | Chiang Mai University(略称：Chiang Mai University) Chiang Mai University(略称：Chiang Mai University) |
| 第 2 著者 氏名（和/英） | Ekkarat Boonchieng / Ekkarat Boonchieng |
| 第 2 著者 所属（和/英） | Chiang Mai University(略称：Chiang Mai University) Chiang Mai University(略称：Chiang Mai University) |
| 発表年月日 | 2015-11-12 |
| 資料番号 | IA2015-45 |
| 巻番号（vol） | vol.115 |
| 号番号（no） | IA-307 |
| ページ範囲 | pp.41-46(IA), |
| ページ数 | 6 |
| 発行日 | 2015-11-05 (IA) |