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| Presentation | 2015-11-12 12:00 Approximate Finding Pathologic Lesion Volume from One Dimension CT Scan by Semi-automatically Select Area and Average Slop at 2 Points Conjunction Piyavach Khunsongkiet, Ekkarat Boonchieng (Chiang Mai University)  IA2015-45 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | 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. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | CT scan / area / Pathologic Lesion / volume / image processing / interpolation / approximate / linear | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 307, IA2015-45, pp. 41-46, Nov. 2015. | |
| Paper # | IA2015-45 | |
| Date of Issue | 2015-11-05 (IA) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IA2015-45 |
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| Conference Information | |
| Committee | IA |
| Conference Date | 2015-11-12 - 2015-11-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | NARITA VIEW HOTEL |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IA2015 - Workshop on Internet Architecture and Applications 2015, Co-hosted with ITRC meet38 as Asia Internet Technology Joint Symposium |
| Paper Information | |
| Registration To | IA |
| Conference Code | 2015-11-IA |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Approximate Finding Pathologic Lesion Volume from One Dimension CT Scan by Semi-automatically Select Area and Average Slop at 2 Points Conjunction |
| Sub Title (in English) | |
| Keyword(1) | CT scan |
| Keyword(2) | area |
| Keyword(3) | Pathologic Lesion |
| Keyword(4) | volume |
| Keyword(5) | image processing |
| Keyword(6) | interpolation |
| Keyword(7) | approximate |
| Keyword(8) | linear |
| 1st Author's Name | Piyavach Khunsongkiet |
| 1st Author's Affiliation | Chiang Mai University (Chiang Mai University) |
| 2nd Author's Name | Ekkarat Boonchieng |
| 2nd Author's Affiliation | Chiang Mai University (Chiang Mai University) |
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| Speaker | Author-1 |
| Date Time | 2015-11-12 12:00:00 |
| Presentation Time | 20 minutes |
| Registration for | IA |
| Paper # | IA2015-45 |
| Volume (vol) | vol.115 |
| Number (no) | no.307 |
| Page | pp.41-46 |
| #Pages | 6 |
| Date of Issue | 2015-11-05 (IA) |
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