{"title":"腹主动脉瘤的自动分割","authors":"S. Habib, J. Dehmeshki","doi":"10.1109/STC-CSIT.2018.8526709","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to develop an accurate automatic segmentation of Abdominal Aortic Aneurysm (AAA). Firstly, an anti -geometric diffusion technique was used to smooth the CTA. Following on, applying the segmentation and morphological operation, the Lumen can be identified from the pre-processed image. Through applying Geometrical information, mathematical morphology and cluster analysis the detention of the abdominal lumen is established. The process is succeeded with the geometrical transformation to align the lumen through the use of the centreline. As a result, to find the existence of the aneurysm, multiple evaluations are conducted on the abdominal lumen area. To test the automatic detection and segmentation, 40 CT Angiography scans have been tested and the results have been displayed in this paper.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Automatic Segmentation of Abdominal Aortic Aneurysm\",\"authors\":\"S. Habib, J. Dehmeshki\",\"doi\":\"10.1109/STC-CSIT.2018.8526709\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this paper is to develop an accurate automatic segmentation of Abdominal Aortic Aneurysm (AAA). Firstly, an anti -geometric diffusion technique was used to smooth the CTA. Following on, applying the segmentation and morphological operation, the Lumen can be identified from the pre-processed image. Through applying Geometrical information, mathematical morphology and cluster analysis the detention of the abdominal lumen is established. The process is succeeded with the geometrical transformation to align the lumen through the use of the centreline. As a result, to find the existence of the aneurysm, multiple evaluations are conducted on the abdominal lumen area. To test the automatic detection and segmentation, 40 CT Angiography scans have been tested and the results have been displayed in this paper.\",\"PeriodicalId\":403793,\"journal\":{\"name\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STC-CSIT.2018.8526709\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2018.8526709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Segmentation of Abdominal Aortic Aneurysm
The aim of this paper is to develop an accurate automatic segmentation of Abdominal Aortic Aneurysm (AAA). Firstly, an anti -geometric diffusion technique was used to smooth the CTA. Following on, applying the segmentation and morphological operation, the Lumen can be identified from the pre-processed image. Through applying Geometrical information, mathematical morphology and cluster analysis the detention of the abdominal lumen is established. The process is succeeded with the geometrical transformation to align the lumen through the use of the centreline. As a result, to find the existence of the aneurysm, multiple evaluations are conducted on the abdominal lumen area. To test the automatic detection and segmentation, 40 CT Angiography scans have been tested and the results have been displayed in this paper.