利用医用缝合线从单个内窥镜图像中恢复息肉形状

Q3 Computer Science Open Bioinformatics Journal Pub Date : 2019-01-31 DOI:10.2174/1875036201912010001
Hiroyasu Usami, Y. Iwahori, Aili Wang, M. Bhuyan, N. Ogasawara, K. Kasugai
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引用次数: 0

摘要

息肉形状在结直肠诊断中起着重要作用。然而,内窥镜检查图像通常由非刚性物体组成,如息肉。因此,息肉形状的恢复具有挑战性。需要建立一个基于息肉形态的结直肠诊断系统的支持系统。阴影形状(SFS)是一种有价值的基于光测斜的息肉形状恢复方法。SFS和内窥镜图像在第一眼上是兼容的,但将SFS应用于内窥镜的图像存在限制。这些方法需要一些参数,如从内窥镜透镜到表面的深度和表面反射率。此外,这些方法假设整个曲面具有与朗伯曲面相同的值。本文有助于减轻基于医学结构的提示将SFS应用于内窥镜图像的约束。使用提取的医用缝线来估计参数,并利用几何约束方程和光度约束方程提出了息肉形状恢复方法。值得注意的是,所提出的方法实现了从单个内窥镜图像中恢复息肉形状。从实验中证实,近似的息肉模型形状被恢复,并且所提出的方法使用医用缝合线信息和从单个内窥镜图像获得的参数来恢复息肉的绝对大小和形状。本文提出了一种息肉形状恢复方法,该方法减轻了将SFS应用于医用缝线内窥镜图像的约束。值得注意的是,所提出的方法在不产生均匀朗伯反射率的情况下实现了从单个内窥镜图像中恢复息肉形状。
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Polyp Shape Recovery from Single Endoscope Image using Medical Suture
Polyp shapes play an important role in colorectal diagnosis. However, endoscopy images are usually composed of nonrigid objects such as a polyp. Hence, it is challenging for polyp shape recovery. It is demanded to establish a support system of the colorectal diagnosis system based on polyp shape.Shape from Shading (SFS) is one valuable approach based on photoclinometry for polyp shape recovery. SFS and endoscope image are compatible on the first sight, but there are constraints for applying SFS to endoscope image. Those approaches need some parameters like a depth from the endoscope lens to the surface, and surface reflectance factor . Furthermore, those approaches assume the whole surface which has the same value of for the Lambertian surface.This paper contributes to mitigating constraint for applying SFS to the endoscope image based on a cue from the medical structure. An extracted medical suture is used to estimate parameters, and a method of polyp shape recovery method is proposed using both geometric and photometric constraint equations. Notably, the proposed method realizes polyp shape recovery from a single endoscope image.From experiments it was confirmed that the approximate polyp model shape was recovered and the proposed method recovered absolute size and shape of polyp using medical suture information and obtained parameters from a single endoscope image.This paper proposed a polyp shape recovery method which mitigated the constraint for applying SFS to the endoscope image using the medical suture. Notably, the proposed method realized polyp shape recovery from a single endoscope image without generating uniform Lambertian reflectance.
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来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
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