Techniques for improvement of medical images

M. Viswanath, R. Seetharaman, D. Nedumaran
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引用次数: 2

Abstract

Topological Derivative's application in the field of image processing usually involves restoration and segmentation. This paper focussing on techniques of Topological derivative for solving domain related issues and condition for boundary in the domain, besides solving for shape sensitivity. This helps in detecting the changes caused in the diseased organs. Lagrange Multiplier helps us to solve for the maxima problem related to curvature/boundary as founded with the Topological method. This is a step forward because it addresses boundary problems directly by taking into account constraints involved in the problem. Level Set Method further solves the problem as it helps in implicit representation. Besides, it handles changes in topology easily during evolution of the surface. Many dimension problem is also solved with the help of velocity field and normal vector. Updating over a narrow region instead of the whole image is another advantage.
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医学图像改进技术
拓扑导数在图像处理领域的应用通常涉及到恢复和分割。本文重点讨论了拓扑导数技术在求解领域相关问题和领域边界条件方面的应用,以及形状敏感性问题的求解。这有助于检测病变器官引起的变化。拉格朗日乘法器帮助我们解决了用拓扑学方法建立的曲率/边界的极大值问题。这是向前迈出的一步,因为它通过考虑问题中涉及的约束,直接解决了边界问题。水平集方法进一步解决了这一问题,因为它有助于隐式表示。此外,它还能很容易地处理曲面演化过程中拓扑结构的变化。并利用速度场和法向量求解了多维问题。在一个狭窄的区域而不是整个图像上更新是另一个优势。
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