Head and neck lymph node region delineation with 3-D CT image registration
Head and neck lymph node region delineation with 3-D CT image registration
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发表时间：
2002
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通讯作者：
Chia Chi Teng;M. Austin-Seymour;J. Barker;I. Kalet;L. Shapiro;M. Whipple
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作者：
Chia Chi Teng;M. Austin-Seymour;J. Barker;I. Kalet;L. Shapiro;M. Whipple
放射治疗的成功关键取决于准确地描绘靶区，靶区是患者已知或疑似疾病的区域。能够在一组患者图像上计算定义目标体积的轮廓集的方法将极大地有助于放射治疗的成功，并极大地减少放射肿瘤学家的工作量，他们目前使用简单的计算机绘图工具在图像上手工绘制靶点。这一过程中最具挑战性的部分是估计哪里有微观的疾病传播。我们正在开发基于标准或参考病例中的淋巴结位置自动选择和调整肿瘤扩散的标准化区域的方法，以及图像配准技术。最好的可用图像配准技术(使用“互信息”优化计算的可变形变换)看起来很有希望，但需要基于解剖学知识的方法来补充，以实现临床上可接受的匹配。
The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient images will contribute greatly to the success of radiation therapy and dramatically reduce the workload of radiation oncologists, who currently draw the target by hand on the images using simple computer drawing tools. The most challenging part of this process is to estimate where there is microscopic spread of disease. We are developing methods for automatically selecting and adapting standardized regions of tumor spread based on the location of lymph nodes in a standard or reference case, together with image registration techniques. The best available image registration techniques (deformable transformations computed using "mutual information" optimization) appear promising but will need to be supplemented by anatomic knowledge-based methods to achieve a clinically acceptable match.