In the practice of clinical gastrointestinal endoscopy, precise estimation of the size of a lesion/finding, such as a polyp, is quintessential in diagnosis, e.g. risk estimation for malignancy. However, various studies confirmed that endoscopic assessment of lesion size has inherent limitations and significant measurement errors. Image-based methods proposed for in-vivo -size measurements, rely on reference objects such as the endoscopic biopsy forceps. The aforementioned problem becomes more challenging in the field of capsule endoscopy, as capsules lack navigation and/or biopsy capabilities. To cope with this problem, we propose a methodology that requires only an endoscopic image—without any need for a reference object—in order to estimate the size of an object of interest in it. The first step in this methodology requires the user to define a linear segment within the image. Then, it takes into consideration the intrinsic parameters of the camera, to project known 3D p...

中文翻译：

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内窥镜单图像尺寸测量

在临床胃肠道内窥镜检查的实践中，对病变/发现物（例如息肉）的大小的精确估计在诊断中至关重要，例如恶性肿瘤的风险估计。然而，各种研究证实，内镜评估病变大小有其固有的局限性和明显的测量误差。提出用于体内尺寸​​测量的基于图像的方法依赖于诸如内窥镜活检钳之类的参考对象。由于胶囊缺乏导航和/或活检能力，上述问题在胶囊内窥镜检查领域变得更具挑战性。为了解决这个问题，我们提出了一种方法，该方法只需要一个内窥镜图像，而不需要参考对象，即可估算其中的目标对象的大小。这种方法的第一步要求用户在图像内定义线性段。然后，考虑摄像机的固有参数，以投影已知的3D图像。