Lung tumor motion estimation using 3-D phase correlation for radiotherapy treatment

Xiaoyong Zhang, Noriyasu Homma, Yoshihiro Takai, Yuichiro Narita, Makoto Abe, Norihiro Sugita, Makoto Yoshizawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a three-dimensional (3-D) phase correlation-based rigid volume registration method for estimation of the lung tumor motion in four-dimensional (4-D) computed tomography (CT). In the lung cancer radiotherapy treatment, the 4-D thorax CT has been used to observe the spatiotemporal tumor motion with the patient's respiration. In the proposed method, the respiration-induced lung tumor motion is approximately modeled as a 3-D translation between two CT volumes obtained from two respiratory stages. A 3-D phase correlation of the two CT volumes is calculated by using the 3-D inverse discrete Fourier transform (IDFT) of the normalized cross power spectrum of the two volumes. The tumor motion values along three directions are estimated by locating the highest peak of the 3-D phase correlation. The experimental results show that the proposed method is capable of estimating the tumor motion with high accuracy and low computational cost.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages754-758
Number of pages5
ISBN (Print)9781467322591
Publication statusPublished - 2012 Jan 1
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012 Aug 202012 Aug 23

Publication series

NameProceedings of the SICE Annual Conference

Other

Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
CountryJapan
CityAkita
Period12/8/2012/8/23

Keywords

  • 4-D CT
  • IGRT
  • phase correlation
  • volume registration

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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