首页> 外文会议>Conference on Signal Processing, Sensor Fusion, and Target Recognition Ⅹ Apr 16-18, 2001, Orlando, USA >Multi-sensor fusion in gastro-enterology domain through video and echo endoscopic images combination: a challenge
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Multi-sensor fusion in gastro-enterology domain through video and echo endoscopic images combination: a challenge

机译:通过视频和回声内窥镜图像组合在胃肠病学领域进行多传感器融合:一个挑战

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摘要

Medical domain makes intensive use of information fusion. In particular, the gastro-enterology is a discipline where physicians have the choice between several imagery modalities that offer complementary advantages. Among all existing systems. Videoendoscopy (based on a CCD sensor) and echoendoscopy (based on an ultrasound sensor) are the most efficient. The use of each system corresponds to a given step in the physician diagnostic elaboration. Nowadays, several works aim to achieve automatic interpretation of videoendoscopic sequences. These systems can quantify color and superficial textures of the digestive tube. Unfortunately the relief information, which is important for the diagnostic, is very difficult to retrieve. On the other hand, some studies have proved that 3D information can be easily quantified using echoendoscopy image sequences. That is why the idea to combine these information, acquired from two very different points of view, can be considered as a real challenge for the medical image fusion topic. In this paper, after a review of actual works concerning numerical exploitation of videoendoscopy and echoendoscopy, the following question will be discussed: how can the use of complementary aspects of the different systems ease the automatic exploitation of videoendoscopy? In a second time, we will evaluate the feasibility of the achievement of a realistic 3D reconstruction based both on information given by echoendoscopy (relief) and videoendoscopy (texture). Enumeration of potential applications of such a fusion system will then follow. Further discussions and perspectives will conclude this first study.
机译:医学领域大量使用信息融合。特别是,胃肠病学是一门学科,医师可以在提供互补优势的几种图像模式之间进行选择。在所有现有系统中。视频内窥镜检查(基于CCD传感器)和回声内窥镜检查(基于超声传感器)效率最高。每个系统的使用对应于医生诊断过程中的给定步骤。如今,一些工作旨在实现视频内窥镜序列的自动解释。这些系统可以量化消化管的颜色和表面纹理。不幸的是,对于诊断很重要的救济信息很难检索。另一方面,一些研究证明,使用超声内窥镜图像序列可以轻松地量化3D信息。因此,从两个截然不同的角度获取这些信息的想法可以被认为是医学图像融合主题的真正挑战。在对涉及视频内窥镜和超声内窥镜的数值开发的实际工作进行回顾之后,本文将讨论以下问题:如何利用不同系统的互补方面来简化视频内窥镜的自动开发?第二次,我们将基于超声内窥镜检查(浮雕)和视频内窥镜检查(纹理)提供的信息,评估实现逼真的3D重建的可行性。然后将列举这种融合系统的潜在应用。进一步的讨论和展望将结束本项研究。

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