提高肿瘤治疗放射界模糊建模的透明度

2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) Pub Date : 2011-04-11 DOI:10.1109/CIBCB.2011.5948453

B. Mzenda, David J. Brown, A. Gegov

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引用次数: 0

摘要

本研究介绍了模糊网络概念的新应用，以获得使用外束放射治疗癌症的最佳边际。该模型的输入数据是基于治疗错误的影响，就描绘、器官运动和患者设置错误而言，对肿瘤覆盖和对关键器官的剂量。与传统的模糊系统相比，模糊网络的应用明显提高了模型的透明度，同时模型的精度也得到了提高。

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Improving the transparency in fuzzy modelling of radiotherapy margins in cancer treatment

This study introduces the novel application of a fuzzy network concept to derive optimal margins for use in the treatment of cancer using external beam radiotherapy. The input data for the model is based on the effects of treatment errors, in terms of delineation, organ motion and patient set-up errors, on tumour coverage and doses to critical organs. A demonstrable improvement in the model transparency is shown by application of the fuzzy network compared to a conventional fuzzy system, whilst the model accuracy is also improved.

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来源期刊

2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

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