Ghasemzadeh Hamzeh, Deliyski Dimitar D, Hillman Robert E, Mehta Daryush D
"Department of Communicative Sciences and Disorders" and "Department of Computational Mathematics Science and Engineering", Michigan State University, East Lansing, Michigan, USA.
"Department of Communicative Sciences and Disorders", Michigan State University, East Lansing, Michigan, USA.
Appl Sci (Basel). 2021 Jan 2;11(2). doi: 10.3390/app11020822. Epub 2021 Jan 17.
Calibrated horizontal measurements (.., mm) from endoscopic procedures could be utilized for advancement of evidence-based practice and personalized medicine. However, the size of an object in endoscopic images is not readily calibrated and depends on multiple factors, including the distance between the endoscope and the target surface. Additionally, acquired images may have significant non-linear distortion that would further complicate calibrated measurements. This study used a recently developed in-vivo laser-projection fiberoptic laryngoscope and proposes a method for calibrated spatial measurements.
A set of circular grids were recorded at multiple working distances. A statistical model was trained that would map from pixel length of the object, the working distance, and the spatial location of the target object into its mm length.
A detailed analysis of the performance of the proposed method is presented. The analyses have shown that the accuracy of the proposed method does not depend on the working distance and length of the target object. The estimated average magnitude of error was 0.27 mm, which is three times lower than the existing alternative.
The presented method can achieve sub-millimeter accuracy in horizontal measurement.
Evidence-based practice and personalized medicine could significantly benefit from the proposed method. Implications of the findings for other endoscopic procedures are also discussed.
内镜检查中的校准水平测量值(如……,毫米)可用于推进循证医学实践和个性化医疗。然而,内镜图像中物体的大小不易校准,且取决于多种因素,包括内镜与目标表面之间的距离。此外,采集的图像可能存在明显的非线性失真,这会使校准测量进一步复杂化。本研究使用了最近开发的体内激光投射光纤喉镜,并提出了一种校准空间测量的方法。
在多个工作距离下记录一组圆形网格。训练了一个统计模型,该模型将从物体的像素长度、工作距离和目标物体的空间位置映射到其毫米长度。
对所提出方法的性能进行了详细分析。分析表明,所提出方法的准确性不取决于工作距离和目标物体的长度。估计的平均误差幅度为0.27毫米,比现有的替代方法低三倍。
所提出的方法在水平测量中可实现亚毫米级的精度。
循证医学实践和个性化医疗可从所提出的方法中显著受益。还讨论了这些发现对其他内镜检查程序的影响。