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首页> 外文会议>The Second International Conference on Information Jul 24-27, 2002 Beijing, China >Application of an Edge Detection Method to Image Processing in Fluorescence-guided Resection Method
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Application of an Edge Detection Method to Image Processing in Fluorescence-guided Resection Method

机译：边缘检测方法在荧光引导切除法图像处理中的应用

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As one of minimally invasive surgery, fluorescence guided resection method has considerable attention. However, the system must provide a large-scale equipment and the operator often have some troubles. So, we have developed a new system that includes the probe for a floodlight by a blue LED light, a CCD camera and image processing to improve the accuracy of the border in imaging of intraoperative visualization by fluorescence. To identify the border of tumour sites in the image processing, the detection method of a distinct character in imaging simulating characteristics of human eyesight is employed. Lighting the blue LED light on twelve kinds of compound liquids of blood and fluorescent substance, we took computational images through the CCD camera and tried to detect the margins for each data. By comparing the results from the proposed method with those from the traditional edge detection method, we demonstrated the validity of the proposed method. Moreover, we examined the accuracy of the detected area by calculating the error between the radius of the laboratory dish and the calculated.
机译：作为微创手术的一种，荧光引导切除法引起了广泛的关注。但是，该系统必须提供大型设备，并且操作员经常会遇到一些麻烦。因此，我们开发了一种新系统，其中包括用于蓝光LED灯的泛光灯探头，CCD相机和图像处理，以提高术中通过荧光成像的边界的准确性。为了在图像处理中识别肿瘤部位的边界，在人眼视力成像模拟中采用了特征鲜明的检测方法。我们将十二种血液和荧光物质的复合液体点亮蓝色的LED灯，然后通过CCD相机拍摄了计算图像，并尝试检测每个数据的余量。通过比较所提出的方法和传统边缘检测方法的结果，我们证明了所提出方法的有效性。此外，我们通过计算实验室培养皿的半径与所计算出的误差来检查检测区域的准确性。

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