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首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >A quantitative performance measure for a clinical evaluation of comb structure removal algorithms in flexible endoscopy
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A quantitative performance measure for a clinical evaluation of comb structure removal algorithms in flexible endoscopy

机译：用于柔性内窥镜中梳状结构去除算法临床评估的定量性能指标

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摘要

Modern techniques for technical inspection as well as medical diagnostics and therapy in keyhole-surgery scenarios make use of flexible endoscopes. Common to both application fields are very small natural or manmade entry points to the observed scene, as well as the complexity of the hollow itself. These make the use of rigid lens-based endoscopes or tip chip videoscopes impossible. Due to the fact that the fiber-optic image guide of a flexible endoscope introduces a comb structure to the acquired images, many research has been devoted to algorithms for an effective removal of such artifacts. Oftentimes, this research has been motivated by the fact, that the comb structure prevents an application of some well-established methods offered by the computer vision and image processing community. Unfortunately, the performance of the presented approaches are commonly visually evaluated or with respect to proprietary, non-standardized metrics. Thus, the performances of individual algorithms are hard to compare with each other. For this reasons, we propose a performance measure for fiberoptic imaging devices that has been motivated by the physics of optics. In this field, an optical system is frequently described by linear systems theory and the system's quality can be expressed by its transfer function. The determination of this transfer function has been standardized by the ISO for lens based imaging systems and represents a widely accepted measure for the quality of such systems. In this contribution, we present methods that account for fiber-optic imaging systems and thus enable a standardized performance evaluation. Finally, we demonstrate its use by comparing two recent state of the art comb structure removal algorithms, each of them being a representative of a spatial and a frequency domain method, respectively.
机译：锁孔手术场景中用于技术检查以及医学诊断和治疗的现代技术使用了柔性内窥镜。这两个应用领域的共同点是观察到的场景的很小的自然或人造入口点，以及空心本身的复杂性。这些使得不可能使用基于刚性透镜的内窥镜或尖端芯片视频内窥镜。由于柔性内窥镜的光纤图像引导件将梳状结构引入所获取的图像的事实，因此许多研究致力于用于有效去除这种伪影的算法。通常，这项研究的动机是这样的事实，即梳状结构阻止了计算机视觉和图像处理社区提供的一些公认的方法的应用。不幸的是，所提出的方法的性能通常在视觉上或相对于专有的非标准化指标进行评估。因此，各个算法的性能很难相互比较。由于这个原因，我们提出了一种由光学物理学激发的光纤成像设备的性能指标。在该领域中，光学系统经常由线性系统理论来描述，并且系统的质量可以通过其传递函数来表达。对于基于透镜的成像系统，此传递函数的确定已通过ISO标准化，代表了此类系统质量的广泛接受的度量。在这一贡献中，我们提出了解决光纤成像系统问题的方法，从而实现了标准化的性能评估。最后，我们通过比较两种最新的梳状结构去除算法来证明它的使用，它们分别代表空间和频域方法。

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