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Adaptive prediction of internal target motion using external marker motion: a technical study.

Publication ,  Journal Article
Yan, H; Yin, F-F; Zhu, G-P; Ajlouni, M; Kim, JH
Published in: Phys Med Biol
January 7, 2006

An adaptive prediction approach was developed to infer internal target position by external marker positions. First, a prediction model (or adaptive neural network) is developed to infer target position from its former positions. For both internal target and external marker motion, two networks with the same type are created. Next, a linear model is established to correlate the prediction errors of both neural networks. Based on this, the prediction error of an internal target position can be reconstructed by the linear combination of the prediction errors of the external markers. Finally, the next position of the internal target is estimated by the network and subsequently corrected by the reconstructed prediction error. In a similar way, future positions are inferred as their previous positions are predicted and corrected. This method was examined by clinical data. The results demonstrated that an improvement (10% on average) of correlation between predicted signal and real internal motion was achieved, in comparison with the correlation between external markers and internal target motion. Based on the clinical data (with correlation coefficient 0.75 on average) observed between external marker and internal target motions, a prediction error (23% on average) of internal target position was achieved. The preliminary results indicated that this method is helpful to improve the predictability of internal target motion with the additional information of external marker signals. A consistent correlation between external and internal signals is important for prediction accuracy.

Duke Scholars

Published In

Phys Med Biol

DOI

ISSN

0031-9155

Publication Date

January 7, 2006

Volume

51

Issue

1

Start / End Page

31 / 44

Location

England

Related Subject Headings

  • Risk
  • Respiration
  • Reproducibility of Results
  • Radiotherapy, Computer-Assisted
  • Radiotherapy Planning, Computer-Assisted
  • Radiotherapy Dosage
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Neural Networks, Computer
  • Movement
 

Citation

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Yan, H., Yin, F.-F., Zhu, G.-P., Ajlouni, M., & Kim, J. H. (2006). Adaptive prediction of internal target motion using external marker motion: a technical study. Phys Med Biol, 51(1), 31–44. https://doi.org/10.1088/0031-9155/51/1/003
Yan, Hui, Fang-Fang Yin, Guo-Pei Zhu, Munther Ajlouni, and Jae Ho Kim. “Adaptive prediction of internal target motion using external marker motion: a technical study.Phys Med Biol 51, no. 1 (January 7, 2006): 31–44. https://doi.org/10.1088/0031-9155/51/1/003.
Yan H, Yin F-F, Zhu G-P, Ajlouni M, Kim JH. Adaptive prediction of internal target motion using external marker motion: a technical study. Phys Med Biol. 2006 Jan 7;51(1):31–44.
Yan, Hui, et al. “Adaptive prediction of internal target motion using external marker motion: a technical study.Phys Med Biol, vol. 51, no. 1, Jan. 2006, pp. 31–44. Pubmed, doi:10.1088/0031-9155/51/1/003.
Yan H, Yin F-F, Zhu G-P, Ajlouni M, Kim JH. Adaptive prediction of internal target motion using external marker motion: a technical study. Phys Med Biol. 2006 Jan 7;51(1):31–44.
Journal cover image

Published In

Phys Med Biol

DOI

ISSN

0031-9155

Publication Date

January 7, 2006

Volume

51

Issue

1

Start / End Page

31 / 44

Location

England

Related Subject Headings

  • Risk
  • Respiration
  • Reproducibility of Results
  • Radiotherapy, Computer-Assisted
  • Radiotherapy Planning, Computer-Assisted
  • Radiotherapy Dosage
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Neural Networks, Computer
  • Movement