IR@PKUHSC  > 北京大学口腔医学院
学科主题口腔医学
Computed Tomography Imaging of Medpor: Graph-Cut Algorithm and Its Accuracy
Liu, Xiao-jing1,2; Chen, Li3; Song, Wei3; Guo, Chuan-bin1,2; Yu, Guang-yan1,2
关键词Porous polyethylene Medpor computed tomography Graph-cut algorithm gray-level algorithm
刊名JOURNAL OF CRANIOFACIAL SURGERY
2012-05-01
DOI10.1097/SCS.0b013e31824dbd2f
23期:3页:758-761
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Surgery
研究领域[WOS]Surgery
关键词[WOS]POROUS POLYETHYLENE IMPLANT ; FIBROVASCULAR INGROWTH ; ORBITAL IMPLANT ; RECONSTRUCTION
英文摘要

Porous polyethylene has become a popular alloplastic material for maxillofacial reconstruction. Despite its benefits, this material is radiolucent on conventional radiography. Computed tomography of traditional graphic segmentation based on gray levels was reported by a few authors, but the accuracy has not been described. The aim of this study was to image this material using segmentation based on Graph-cut algorithm. Another object was to compare accuracy of 2 algorithms. Between 2005 and 2010, 15 patients (12 females) participated in the study. Computed tomography was used for image acquisition. Graphic segmentation based on gray level involved use of the software OsiriX. Stroke-based specification for user interaction and Graph-cut segmentation involved a self-developed module. The accuracy of both segmentation algorithms was tested by comparing the volume of reconstructed Medpor with the actual volume measured by the draining method during surgery. Twenty-seven comparisons of the computed and actual volumes were gained. Linear regression was done between reconstructed and real volume. For the volume of Graph-cut algorithm, the regression equation was (T) over cap = -0.19425 + 1.02692S; the difference between the population intercept and zero was not significant (t = -0.83, P = 0.4172). For the volume of gray-level algorithm, the regression equation was (T) over cap = -1.15282 + 1.14101S; the difference between the population intercept and zero was significantd(t = -3.04, P = 0.0055). These results demonstrated porous polyethylene can be well defined by computed tomography segmentation with Graph-cut and gray-level algorithms. Graph-cut algorithm has a better accuracy compared with that of gray-level algorithm.

语种英语
WOS记录号WOS:000304479600073
项目编号D0906007000091 ; 2009AA045201
资助机构Beijing Major Scientific Program ; National High-tech RD Program
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/64503
专题北京大学口腔医学院
北京大学口腔医学院_外科
作者单位1.Peking Univ, Sch Stomatol, Dept Oral & Maxillofacial Surg, Beijing 100081, Peoples R China
2.Peking Univ, Hosp Stomatol, Dept Oral & Maxillofacial Surg, Beijing 100081, Peoples R China
3.Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714
Liu, Xiao-jing,Chen, Li,Song, Wei,et al. Computed Tomography Imaging of Medpor: Graph-Cut Algorithm and Its Accuracy[J]. JOURNAL OF CRANIOFACIAL SURGERY,2012,23(3):758-761.
APA Liu, Xiao-jing,Chen, Li,Song, Wei,Guo, Chuan-bin,&Yu, Guang-yan.(2012).Computed Tomography Imaging of Medpor: Graph-Cut Algorithm and Its Accuracy.JOURNAL OF CRANIOFACIAL SURGERY,23(3),758-761.
MLA Liu, Xiao-jing,et al."Computed Tomography Imaging of Medpor: Graph-Cut Algorithm and Its Accuracy".JOURNAL OF CRANIOFACIAL SURGERY 23.3(2012):758-761.
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