{"title":"利用前段光学相干断层扫描测量气泡高度、面积和范围","authors":"T. R. G. Babu, S. Nirmala, K. Vidhya","doi":"10.1504/ijcaet.2020.10026292","DOIUrl":null,"url":null,"abstract":"To image trabecolectomy blebs using anterior segment optical coherence tomography AS-OCT and to measure the blebs morphological features such as bleb height area and extend. In this paper fuzzy local information C-means clustering is used to segment the bleb boundary. A batch of 25 AS-OCT images are used to assess the performance of the determined parameters to the clinical parameters, and 91.43% accuracy is obtained in the determined parameters result. The mean value of bleb height, area and extend are 0.2 mm, 1.618 mm2, 0.343 mm respectively. The result shows the potential applicability of the method for automated and objective mass screening for detection of bleb boundary.","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measurement of bleb height area and extent using anterior segment optical coherence tomography\",\"authors\":\"T. R. G. Babu, S. Nirmala, K. Vidhya\",\"doi\":\"10.1504/ijcaet.2020.10026292\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To image trabecolectomy blebs using anterior segment optical coherence tomography AS-OCT and to measure the blebs morphological features such as bleb height area and extend. In this paper fuzzy local information C-means clustering is used to segment the bleb boundary. A batch of 25 AS-OCT images are used to assess the performance of the determined parameters to the clinical parameters, and 91.43% accuracy is obtained in the determined parameters result. The mean value of bleb height, area and extend are 0.2 mm, 1.618 mm2, 0.343 mm respectively. The result shows the potential applicability of the method for automated and objective mass screening for detection of bleb boundary.\",\"PeriodicalId\":38492,\"journal\":{\"name\":\"International Journal of Computer Aided Engineering and Technology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Aided Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijcaet.2020.10026292\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Aided Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijcaet.2020.10026292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Measurement of bleb height area and extent using anterior segment optical coherence tomography
To image trabecolectomy blebs using anterior segment optical coherence tomography AS-OCT and to measure the blebs morphological features such as bleb height area and extend. In this paper fuzzy local information C-means clustering is used to segment the bleb boundary. A batch of 25 AS-OCT images are used to assess the performance of the determined parameters to the clinical parameters, and 91.43% accuracy is obtained in the determined parameters result. The mean value of bleb height, area and extend are 0.2 mm, 1.618 mm2, 0.343 mm respectively. The result shows the potential applicability of the method for automated and objective mass screening for detection of bleb boundary.
期刊介绍:
IJCAET is a journal of new knowledge, reporting research and applications which highlight the opportunities and limitations of computer aided engineering and technology in today''s lifecycle-oriented, knowledge-based era of production. Contributions that deal with both academic research and industrial practices are included. IJCAET is designed to be a multi-disciplinary, fully refereed and international journal.