Intensity Modulated Radiotherapy Target Volume Definition by Means of Wavelet Segmentation (original) (raw)

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.

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Authors and Affiliations

  1. Chang Gung Memorial Hospital-Kaohsiung, 83342, Taiwan, ROC
    Tsair-Fwu Lee, Fu-Min Fang & Eng-Yen Huang
  2. Kaohsiung Yuan’s General Hospital, Kaohsiung, 800, Taiwan, ROC
    Pei-Ju Chao & Ying-Chen Chang

Authors

  1. Tsair-Fwu Lee
  2. Pei-Ju Chao
  3. Fu-Min Fang
  4. Eng-Yen Huang
  5. Ying-Chen Chang

Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK
    Bogdan Gabrys
  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK
    Robert J. Howlett
  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia
    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Lee, TF., Chao, PJ., Fang, FM., Huang, EY., Chang, YC. (2006). Intensity Modulated Radiotherapy Target Volume Definition by Means of Wavelet Segmentation. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004\_1

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