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Shape Recovery of Polyp from Endoscope Image Using Blood Vessel Information

机译:利用血管信息从内窥镜图像中恢复息肉的形状

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摘要

Endoscope is used to remove the polyp in the medical diagnosis. Absolute size of polyp has been usually estimated by medical doctor with their empirical judgement using endoscope. However this estimation depends on the experience and skill of medical doctor and it is sometimes necessary to use the medical thread with known size for estimating the size of polyp. This paper aims to help medical doctor by proposing a new approach to estimate the size and 3D shape of polyp as a medical supporting system. This proposed approach uses blood vessel as a target with a known size to estimate the absolute size of polyp. Using sequential two images make it possible to estimate the movement of endoscope and reflectance parameter. The idea of using blood vessel is the key idea of this paper, where color information, labeling, morphology processing are used estimate the size and 3D shape of polyp as a final goal. Experiments with endoscope images are demonstrated to evaluate the validity of proposed approach.
机译:内窥镜用于在医学诊断中去除息肉。息肉的绝对大小通常由医生根据内窥镜的经验判断来估计。然而,该估计取决于医生的经验和技能,并且有时有必要使用已知大小的医疗线来估计息肉的大小。本文旨在通过提出一种新的方法来评估息肉的大小和3D形状作为医学支持系统,以帮助医生。该提议的方法使用具有已知大小的血管作为目标来估计息肉的绝对大小。使用连续的两个图像可以估计内窥镜的运动和反射率参数。使用血管的想法是本文的关键思想,其中使用颜色信息,标记,形态学处理来估计息肉的大小和3D形状作为最终目标。内窥镜图像实验被证明可以评估所提出方法的有效性。

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  • 来源
  • 会议地点 Hamamatsu(JP)
  • 作者单位

    Department of Computer Science, Chubu University, 1200 Matsumoto-cho, Kasugai 487-8501, Japan;

    Department of Computer Science, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan;

    Department of Computer Science, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan;

    Department of Computer Science, Chubu University, 1200 Matsumoto-cho, Kasugai 487-8501, Japan;

    Department of Communication Engineering, Harbin University of Science and Technology, Harbin, China;

    Department of Electronics Electrical Engineering IIT Guwahati, Guwahati 781039, India;

    Department of Gastroenterology, Aichi Medical University, Nagakute, Aichi 480-1195, Japan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Svm; Multiple classes; Defect candidate region; Defect classification;

    机译:SVM;多班;缺陷候选区域;缺陷分类;

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