A new motion management method for lung tumor tracking radiation therapy

Noriyasu Homma, Masao Sakai, Haruna Endo, Masatoshi Mitsuya, Yoshihiro Takai, Makoto Yoshizawa

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

We propose a new motion management method for lung tumor tracking radiotherapy by using a novel time series prediction technique. In radiotherapy, the target motion often affects the conformability of the therapeutic dose distribution delivered to thoracic and abdominal tumors, and thus tumor motion monitoring systems have been developed. Even we can observe tumor motion accurately, however, radiotherapy systems may inherently have mechanical and computational delays to be compensated for synchronizing dose delivery with the motion. For solving the delay problem, we develop a novel system to predict complex time series of the lung tumor motion. An essential core of the system is an adaptive prediction modeling with a phase locking technique by which time-varying cyclic dynamics is transferred into a time invariant one. Simulation studies demonstrate that the proposed system can achieve a clinically useful high accuracy and long-term prediction of the average error 1.05 ± 0.99 [mm] at 1 [sec] ahead prediction.

Original languageEnglish
Pages (from-to)471-480
Number of pages10
JournalWSEAS Transactions on Systems
Volume8
Issue number4
Publication statusPublished - 2009

Keywords

  • Adaptive modeling
  • And motion management
  • Lung tumor
  • Radiation therapy
  • Time series prediction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'A new motion management method for lung tumor tracking radiation therapy'. Together they form a unique fingerprint.

Cite this