Specular Reflection Removal for 3D Reconstruction of Tissues using Endoscopy Videos.

Muhammad Emaduddin, Tansel Halic, Doga Demirel, Coskun Bayrak, Venkata S Arikatla, Suvranu De
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引用次数: 0

Abstract

Endoscopy is widely employed for diagnostic examination of the interior of organs and body cavities and numerous surgical interventions. Still, the inability to correlate individual 2D images with 3D organ morphology limits its applications, especially in intra-operative planning and navigation, disease physiology, cancer surveillance, etc. As a result, most endoscopy videos, which carry enormous data potential, are used only for real-time guidance and are discarded after collection. We present a complete method for the 3D reconstruction of inner organs that suggests image extraction techniques from endoscopic videos and a novel image pre-processing technique to reconstruct and visualize a 3D model of organs from an endoscopic video. We use advanced computer vision methods and do not require any modifications to the clinical-grade endoscopy hardware. We have also formalized an image acquisition protocol through experimentation with a calibrated test bed. We validate the accuracy and robustness of our reconstruction using a test bed with known ground truth. Our method can significantly contribute to endoscopy-based diagnostic and surgical procedures using comprehensive tissue and tumor 3D visualization.

利用内窥镜视频进行组织三维重建的镜面反射去除。
内窥镜广泛用于器官内部和体腔的诊断检查以及许多外科干预措施。尽管如此,无法将个体2D图像与3D器官形态相关联限制了其应用,尤其是在术内规划和导航、疾病生理学、癌症监测等方面。因此,大多数具有巨大数据潜力的内窥镜检查视频仅用于实时指导,并在收集后丢弃。我们提出了一种用于内部器官3D重建的完整方法,该方法建议从内窥镜视频中提取图像技术,以及一种新的图像预处理技术,以从内窥镜中视频重建和可视化器官的3D模型。我们使用先进的计算机视觉方法,不需要对临床级内窥镜硬件进行任何修改。我们还通过校准测试台的实验,正式制定了图像采集协议。我们使用已知地面实况的测试台验证了重建的准确性和稳健性。我们的方法可以使用全面的组织和肿瘤3D可视化,为基于内窥镜的诊断和手术程序做出重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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