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Intensity Modulated Radiotherapy Target Volume Definition by Means of Wavelet Segmentation

  • Tsair-Fwu Lee
  • Pei-Ju Chao
  • Fu-Min Fang
  • Eng-Yen Huang
  • Ying-Chen Chang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)

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 target volume wavelet segmentation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tsair-Fwu Lee
    • 1
  • Pei-Ju Chao
    • 2
  • Fu-Min Fang
    • 1
  • Eng-Yen Huang
    • 1
  • Ying-Chen Chang
    • 2
  1. 1.Chang Gung Memorial Hospital-KaohsiungTaiwan, ROC
  2. 2.Kaohsiung Yuan’s General HospitalKaohsiungTaiwan, ROC

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