Intensity modulated radiotherapy target volume definition by means of wavelet segmentation

Authors:
Tsair-Fwu Lee;Pei-Ju Chao;Fu-Min Fang;Eng-Yen Huang;Ying-Chen Chang
Affiliations:
Chang Gung Memorial Hospital-Kaohsiung, Taiwan, ROC;Kaohsiung Yuan’s General Hospital, Kaohsiung, Taiwan, ROC;Chang Gung Memorial Hospital-Kaohsiung, Taiwan, ROC;Chang Gung Memorial Hospital-Kaohsiung, Taiwan, ROC;Kaohsiung Yuan’s General Hospital, Kaohsiung, Taiwan, ROC
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2006

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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.