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-  2018 

不同CBCT图像分割技术在TMJOA诊断中的应用对比研究
Comparison on Image Segmentation Methods for Patients with Temporomandibular Joint Osteoarthrosis

DOI: 10.13701/j.cnki.kqyxyj.2018.08.018

Keywords: 图像分割,颞下颌关节骨关节病,无边界主动轮廓模型,
Image segmentation
,TMJ-OA,Borderless active contour model

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Abstract:

摘要 目的:对比不同关节CBCT图像分割算法的准确性和临床可用性,获得TMJ-OA关节结构理想的优化分割算法。方法:对46侧TMJ-OA髁突及46侧健康成年人髁突应用MIMICS 14.11软件重建髁突三维模型,分别采用手工分割法、阈值分割法及基于主动轮廓模型和区域生长的混合分割算法,对髁突进行图像分割。比较3种方法在髁突体积、表面积、分割时间及分割轮廓线的可调性、自适应性及软件界面友好度的差异。结果:对TMJ-OA组和正常对照组,混合分割算法重建的髁突与手工分割法均无统计学差异,阈值分割法重建髁突尺寸显著比其他两种方法小。混合分割算法较其他算法具有分割快、临床可用性高的优势。结论:基于主动轮廓模型和区域生长的混合分割算法在TMJ-OA CBCT图像分割中具有较高的准确性和临床可用性,优于目前临床常用的单一分割算法

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