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首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >Bleeding Detection in Wireless Capsule Endoscopy using adaptive colour histogram model and Support Vector Classification
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Bleeding Detection in Wireless Capsule Endoscopy using adaptive colour histogram model and Support Vector Classification

机译：使用自适应颜色直方图模型和支持向量分类的无线胶囊内窥镜出血检测

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摘要

Wireless Capsule Endoscopy (WCE) is a colour imaging technology that enables detailed examination of the interior of the gastrointestinal tract. A typical WCE examination takes ～ 8 hours and captures ～40,000 useful images. After the examination, the images are viewed as a video sequence, which generally takes a clinician over an hour to analyse. The manufacturers of the WCE provide certain automatic image analysis functions e.g. Given Imaging offers in their Rapid Reader software: The Suspected Blood Indicator (SBI), which is designed to report the location in the video of areas of active bleeding. However, this tool has been reported to have insufficient specificity and sensitivity. Therefore it does not free the specialist from reviewing the entire footage and was suggested only to be used as a fast screening tool. In this paper we propose a method of bleeding detection that uses in its first stage Hue-Saturation-Intensity colour histograms to track a moving background and bleeding colour distributions over time. Such an approach addresses the problem caused by drastic changes in blood colour distribution that occur when it is altered by gastrointestinal fluids and allow detection of other red lesions, which although are usually "less red" than fresh bleeding, they can still be detected when the difference between their colour distributions and the background is large enough. In the second stage of our method, we analyse all candidate blood frames, by extracting colour (HSI) and texture (LBP) features from the suspicious image regions (obtained in the first stage) and their neighbourhoods and classifying them using Support Vector Classifier into Bleeding, Lesion and Normal classes. We show that our algorithm compares favourably with the SBI on the test set of 84 full length videos.
机译：无线胶囊内窥镜检查（WCE）是一种彩色成像技术，可对胃肠道内部进行详细检查。典型的WCE检查需要大约8个小时，并可以捕获40,000个有用的图像。检查后，将图像视为视频序列，通常需要一个多小时的临床医生来进行分析。 WCE的制造商提供某些自动图像分析功能，例如在他们的Rapid Reader软件中，Given Imaging提供了：疑似血液指示器（SBI），用于在活动性出血区域的视频中报告位置。但是，据报道该工具的特异性和敏感性不足。因此，它不会使专家从整个录像中解放出来，建议仅用作快速筛选工具。在本文中，我们提出了一种渗色检测方法，该方法在其第一阶段使用色相饱和度颜色直方图来跟踪运动的背景和渗色随时间的分布。这种方法解决了由于胃肠道液体改变而引起的血色分布急剧变化所引起的问题，并且可以检测到其他红色病变，尽管这些病变通常比新鲜出血少“红色”，但是当血流过多时仍可以检测到。它们的颜色分布和背景之间的差异足够大。在我们方法的第二阶段，我们通过从可疑图像区域（在第一阶段获得）及其邻域中提取颜色（HSI）和纹理（LBP）特征，并使用支持向量分类器将其分类，来分析所有候选血帧出血，病变和正常类。我们显示，在84个全长视频的测试集上，我们的算法与SBI相比具有优势。

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