基于多梯度场活动轮廓的直肠壁结构圈定与破层识别

D. Xiao, W. Ng, U. Abeyratne, K. C. Keong, C. B. Tsang, Seow Cheon
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引用次数: 4

摘要

本文提出了一种新的多梯度场活动轮廓算法,该算法具有扩展的多目标描绘能力,克服了普通活动轮廓模型(蛇形)的一些局限性。目的之一是将该技术应用于超声直肠壁图像的多层边界检测,在直肠肿瘤分期的结肠直肠临床诊断中具有重要意义。该算法的核心部分是提出多梯度矢量场概念,用多梯度矢量场概念代替活动轮廓运动方程中的图像力。针对肿瘤穿透后的直肠壁破裂层,提出了一种改进的局部代价函数方法,从当前得到的边界中识别破裂段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rectal wall structure delineation and broken layer recognition by multigradient field active contour
This paper presents a novel multigradient field active contour algorithm with an extended ability for multiple object delineation, which overcomes some limitations of ordinary active contour model (snakes). One of the aims is to apply this technique for multilayer boundary detection from ultrasound rectal wall image, which is important in colorectal clinical diagnosis for rectal tumor staging. The core part in the algorithm is the proposal of multigradient vector field concept, which is used to replace the image forces in the kinetic equation of the active contour. For some broken layers on the rectal wall from the penetration by tumor, a modified local cost function approach is proposed to recognize the broken segments from the current obtained boundaries.
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