@inproceedings{67bddb4eedb4452894b1eee9da11f8ce,
title = "Intensity modulated radiotherapy target volume definition by means of wavelet segmentation",
abstract = "This study aimed to develop an advance precision three-dimensional (3-D) image segmentation algorithm to enhance the blurred edges clearly and then introduce the result onto the intensity modulated radiotherapy (IMRT) for tumor target volume definition. This will achieve what physicians usually demand that tumor doses escalation characteristics of IMRT. A proposed algorithm flowchart designed for this precision 3-D treatment targeting was introduced in this paper. Different medical images were used to test the validity of the proposed method. The 3-D wavelet based targeting preprocessing segmentation allows physicians to improve the traditional treatments or IMRT much more accurately and effectively. This will play an important role in image-guided radiotherapy (IGRT) and many other medical applications in the future.",
keywords = "Intensity modulated radiotherapy, Segmentation, Target volume, Wavelet",
author = "Lee, \{Tsair Fwu\} and Chao, \{Pei Ju\} and Fang, \{Fu Min\} and Huang, \{Eng Yen\} and Chang, \{Ying Chen\}",
year = "2006",
doi = "10.1007/11893004\_1",
language = "英语",
isbn = "3540465375",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1--10",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings",
address = "德国",
note = "10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 ; Conference date: 09-10-2006 Through 11-10-2006",
}