Computed tomography imaging of Medpor: Graph-cut algorithm and its accuracy

The Journal of Craniofacial Surgery
Xiao-Jing LiuGuang-yan Yu

Abstract

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 = -0.19425 + 1.02692S; the difference between the population intercept ...Continue Reading

References

May 4, 2004·Surgical Neurology·Jaechan Park, Murali Guthikonda
Dec 26, 2007·Aesthetic Plastic Surgery·Lai GuiZhiyong Zhang
Mar 26, 2008·The Journal of Craniofacial Surgery·Ilteris Murat Emsen, Erol Benlier

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Citations

Jun 10, 2014·The Journal of Craniofacial Surgery·Zhuyun Qian, Xianqun Fan
Feb 24, 2015·The Journal of Craniofacial Surgery·Zhuyun QianXianqun Fan

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