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An application framework of 3D assessment image registration accuracy and untouched surface area in canal instrumentation laboratory research with micro-computed tomography.

Kayi LuiHe LiuHao WangXueqin YangDingming HuangXuedong ZhouYuan GaoYa Shen
Published in: Clinical oral investigations (2022)
This study developed a customized framework based on free software for evaluating the registration accuracy of different registration techniques and measuring the untouched surface area of canal instrumentation could help researchers to improve the quality of micro-CT studies of canal instrumentation.
Keyphrases
  • computed tomography
  • dual energy
  • positron emission tomography
  • image quality
  • contrast enhanced
  • magnetic resonance imaging
  • deep learning
  • magnetic resonance
  • quality improvement
  • case control
  • machine learning