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A Contour Extraction Method using Active Contour Model on Ultrasonic Images

机译:超声图像主动轮廓模型的轮廓提取方法

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At excision operations of a breast tumor, a navigation to display three-dimensional models during the operations is demanded to grasp a position and a size of the tumor, and to decide an area of the excision. Speckle noises which are characteristic of an ultrasonic image are caused by interference of sound waves. The noises cause a low resolution of a region of interest (ROI), and those are obstacle of constructing recognizable three-dimensional image. To reconstruct a three-dimensional model from two-dimensional ultrasonic tomograms, a speckle reduction and a contour extraction of the ROI are demanded. The purpose of this study is a contour extraction of a ROI on ultrasonic images. An active contour model using a gradient vector flow was employed. The contour of a lesion area of the ultrasonic images which speckle are reduced was extracted.
机译:在乳腺肿瘤的切除操作时,需要在操作期间显示三维模型的导航来掌握肿瘤的位置和尺寸,并决定切除区域。斑点噪声是超声波图像的特征是由声波的干扰引起的。噪音导致感兴趣区域(ROI)的低分辨率,并且那些是构建可识别的三维图像的障碍。为了重建来自二维超声波断层图像的三维模型,需要散斑减小和投资回报的轮廓提取。本研究的目的是超声图像上ROI的轮廓提取。采用使用梯度矢量流的有源轮廓模型。提取斑点减少的超声图像的病变区域的轮廓。

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