基于圆形分析的血管内超声图像恢复与分割

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI:10.1109/ICITEED.2017.8250499

Anusorn Wong-od, Annupan Rodtook, Suwanna Rasmequan, K. Chinnasarn

{"title":"基于圆形分析的血管内超声图像恢复与分割","authors":"Anusorn Wong-od, Annupan Rodtook, Suwanna Rasmequan, K. Chinnasarn","doi":"10.1109/ICITEED.2017.8250499","DOIUrl":null,"url":null,"abstract":"This work presents a novel approach to recover incomplete intravascular ultrasound image before segmenting the lumen and media-adventitia boundaries. The proposed algorithm used circular analysis to estimate lumen and media-adventitia boundaries and then applied diffusion technique to recover corrupted pixel within the detected area. The proposed method was tested with the standard dataset provided by the computer vision center, Universitat de Barcelona, Barcelona, ESP. The experimental result demonstrates that the proposed method provided an average improvement rate of 11% compared to others method on Jaccard index, 9% on Hausdorff distance, 12% on Percentage Area Distance, 6.2% on Area Overlap Error.","PeriodicalId":267403,"journal":{"name":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Intravascular ultrasound image recovery and segmentation based on circular analysis\",\"authors\":\"Anusorn Wong-od, Annupan Rodtook, Suwanna Rasmequan, K. Chinnasarn\",\"doi\":\"10.1109/ICITEED.2017.8250499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a novel approach to recover incomplete intravascular ultrasound image before segmenting the lumen and media-adventitia boundaries. The proposed algorithm used circular analysis to estimate lumen and media-adventitia boundaries and then applied diffusion technique to recover corrupted pixel within the detected area. The proposed method was tested with the standard dataset provided by the computer vision center, Universitat de Barcelona, Barcelona, ESP. The experimental result demonstrates that the proposed method provided an average improvement rate of 11% compared to others method on Jaccard index, 9% on Hausdorff distance, 12% on Percentage Area Distance, 6.2% on Area Overlap Error.\",\"PeriodicalId\":267403,\"journal\":{\"name\":\"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITEED.2017.8250499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2017.8250499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

这项工作提出了一种新的方法来恢复不完整的血管内超声图像之前分割管腔和中外膜边界。该算法使用圆形分析方法估计腔体和中外膜边界，然后应用扩散技术恢复检测区域内的损坏像素。利用巴塞罗那大学计算机视觉中心提供的标准数据集对所提出的方法进行了测试。实验结果表明，与其他方法相比，所提出的方法在Jaccard指数、Hausdorff距离、百分比面积距离和面积重叠误差方面的平均改进率分别为11%、9%、12%和6.2%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Intravascular ultrasound image recovery and segmentation based on circular analysis

This work presents a novel approach to recover incomplete intravascular ultrasound image before segmenting the lumen and media-adventitia boundaries. The proposed algorithm used circular analysis to estimate lumen and media-adventitia boundaries and then applied diffusion technique to recover corrupted pixel within the detected area. The proposed method was tested with the standard dataset provided by the computer vision center, Universitat de Barcelona, Barcelona, ESP. The experimental result demonstrates that the proposed method provided an average improvement rate of 11% compared to others method on Jaccard index, 9% on Hausdorff distance, 12% on Percentage Area Distance, 6.2% on Area Overlap Error.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)

自引率

0.00%

发文量