{"title":"A Liver Vessel Skeleton Line Reconstruction Method Based on Linear Interpolation","authors":"Zhenxiang Wu, Xiaoxi Guo, Xiaoyang Huang, Shaohui Huang","doi":"10.1109/ICVRV.2013.49","DOIUrl":null,"url":null,"abstract":"The liver is one of the largest internal organs in the human body and has the most complicated vascular system. However, it is difficult to obtain very high-quality images in clinical. Meanwhile, a good understanding and observation of skeleton lines of the liver vessel system is one of the key factors to the judgment and planning of surgeries. To recover the diameter information lost both in the CT imaging and in the following segmentation and thinning stages, in this paper the linear interpolation method was first discussed as an attempt, then some improvements and approaches for a better interpolation were introduced. The result showed that our reconstruction method was practical and had good performance.","PeriodicalId":179465,"journal":{"name":"2013 International Conference on Virtual Reality and Visualization","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Virtual Reality and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRV.2013.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The liver is one of the largest internal organs in the human body and has the most complicated vascular system. However, it is difficult to obtain very high-quality images in clinical. Meanwhile, a good understanding and observation of skeleton lines of the liver vessel system is one of the key factors to the judgment and planning of surgeries. To recover the diameter information lost both in the CT imaging and in the following segmentation and thinning stages, in this paper the linear interpolation method was first discussed as an attempt, then some improvements and approaches for a better interpolation were introduced. The result showed that our reconstruction method was practical and had good performance.