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Motion correction of in vivo three-dimensional optical coherence tomography of human skin using a fiducial marker

机译:使用基准标记对人皮肤的体内三维光学相干断层扫描进行运动校正

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This paper presents a novel method based on a fiducial marker for correction of motion artifacts in 3D, in vivo, optical coherence tomography (OCT) scans of human skin and skin scars. The efficacy of this method was compared against a standard cross-correlation intensity-based registration method. With a fiducial marker adhered to the skin, OCT scans were acquired using two imaging protocols: direct imaging from air into tissue; and imaging through ultrasound gel into tissue, which minimized the refractive index mismatch at the tissue surface. The registration methods were assessed with data from both imaging protocols and showed reduced distortion of skin features due to motion. The fiducial-based method was found to be more accurate and robust, with an average RMS error below 20 µm and success rate above 90%. In contrast, the intensity-based method had an average RMS error ranging from 36 to 45 µm, and a success rate from 50% to 86%. The intensity-based algorithm was found to be particularly confounded by corrugations in the skin. By contrast, tissue features did not affect the fiducial-based method, as the motion correction was based on delineation of the flat fiducial marker. The average computation time for the fiducial-based algorithm was approximately 21 times less than for the intensity-based algorithm.
机译:本文提出了一种基于基准标记的新颖方法,用于校正人皮肤和皮肤疤痕的3D,体内,光学相干断层扫描(OCT)扫描中的运动伪影。将该方法的效果与基于标准互相关强度的配准方法进行了比较。将基准标记物粘附在皮肤上后,可使用两种成像方案进行OCT扫描:从空气直接成像到组织中;以及并通过超声凝胶成像进入组织,从而最大程度地减少了组织表面的折射率失配。通过两种成像方案的数据对配准方法进行了评估,结果表明,由于运动,皮肤特征的变形减少了。发现基于基准的方法更准确,更可靠,平均RMS误差低于20 µm,成功率超过90%。相比之下,基于强度的方法的平均RMS误差范围为36至45 µm,成功率为50%至86%。发现基于强度的算法特别容易引起皮肤皱纹的困扰。相比之下,组织特征不会影响基于基准的方法,因为运动校正是基于平面基准标记的描绘。基于基准的算法的平均计算时间比基于强度的算法的平均计算时间少约21倍。

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