Rasha S. Aboul-Yazeed, Abdallah S. A. Mohamed, A. El-Bialy
{"title":"基于边缘的IVD分割系统","authors":"Rasha S. Aboul-Yazeed, Abdallah S. A. Mohamed, A. El-Bialy","doi":"10.1109/MECBME.2014.6783213","DOIUrl":null,"url":null,"abstract":"Computer-aided diagnosing (CAD) and computer-assisted surgery (CAS) systems for spine and intervertebral disc (IVD) necessitate highly speed, minimal memory usage and accurate segmentation system because such system has a direct impact on spinal disease diagnosis and surgical planning. An unsupervised edge-based IVD segmentation system is proposed and validated on eight different lower back pain patients with MR sagittal and axial plane images. It achieves 0.98275, 0.9924 mean dice similarity coefficient (DSC) and 0.9733, 0.9735 mean area under the receiver operating characteristic (ROC) curve for sagittal and axial planes respectively. It requires averages of 26.017s and 431MB of memory usage for axial plane.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Edge-based IVD segmentation system\",\"authors\":\"Rasha S. Aboul-Yazeed, Abdallah S. A. Mohamed, A. El-Bialy\",\"doi\":\"10.1109/MECBME.2014.6783213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computer-aided diagnosing (CAD) and computer-assisted surgery (CAS) systems for spine and intervertebral disc (IVD) necessitate highly speed, minimal memory usage and accurate segmentation system because such system has a direct impact on spinal disease diagnosis and surgical planning. An unsupervised edge-based IVD segmentation system is proposed and validated on eight different lower back pain patients with MR sagittal and axial plane images. It achieves 0.98275, 0.9924 mean dice similarity coefficient (DSC) and 0.9733, 0.9735 mean area under the receiver operating characteristic (ROC) curve for sagittal and axial planes respectively. It requires averages of 26.017s and 431MB of memory usage for axial plane.\",\"PeriodicalId\":384055,\"journal\":{\"name\":\"2nd Middle East Conference on Biomedical Engineering\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2nd Middle East Conference on Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECBME.2014.6783213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2nd Middle East Conference on Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECBME.2014.6783213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computer-aided diagnosing (CAD) and computer-assisted surgery (CAS) systems for spine and intervertebral disc (IVD) necessitate highly speed, minimal memory usage and accurate segmentation system because such system has a direct impact on spinal disease diagnosis and surgical planning. An unsupervised edge-based IVD segmentation system is proposed and validated on eight different lower back pain patients with MR sagittal and axial plane images. It achieves 0.98275, 0.9924 mean dice similarity coefficient (DSC) and 0.9733, 0.9735 mean area under the receiver operating characteristic (ROC) curve for sagittal and axial planes respectively. It requires averages of 26.017s and 431MB of memory usage for axial plane.
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