Papers

Peer-reviewed
Nov, 2018

Development of Monitoring Method of Respiratory Waveform in Thoracicoabdominal Part Using Web Camera

Japanese Journal of Radiological Technology
  • Lee Yongbum
  • ,
  • Hayakawa Takahide
  • ,
  • Sasamoto Ryuta

Volume
74
Number
11
First page
1286
Last page
1292
Language
Japanese
Publishing type
Research paper (scientific journal)
DOI
10.6009/jjrt.2018_JSRT_74.11.1286
Publisher
Japanese Society of Radiological Technology

Countermeasures against respiratory movement are important for tumors of thorax and abdomen in stereotactic body radiation therapy. In the present paper, a web-camera-based-respiratory monitoring method without contact with patient’s body was proposed for respiratory study. Thoracic and abdominal motion images were taken by a web camera, and were analyzed using simple image-processing techniques for obtaining respiratory waveforms. Four motion images with different respiration rate were obtained from resusci anne simulator. Respiration waveforms were estimated from the moving images by the proposed method, and were compared with respiration waveforms obtained by the conventional respiratory monitoring device. That was found to have a strong correlation. In addition, the two waveforms were similar in Bland–Altman method comparison. The proposed method can provide non-contact, non-invasive, simple, and realistic respiratory monitoring system for radiotherapy.

Link information
DOI
https://doi.org/10.6009/jjrt.2018_JSRT_74.11.1286
CiNii Books
http://ci.nii.ac.jp/ncid/AN00197784
CiNii Research
https://cir.nii.ac.jp/crid/1390564238044040960?lang=en
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/30464096
URL
https://www.jstage.jst.go.jp/article/jjrt/74/11/74_2018_JSRT_74.11.1286/_pdf
URL
http://id.ndl.go.jp/bib/029359646
URL
https://search.jamas.or.jp/link/ui/2019123063
ID information
  • DOI : 10.6009/jjrt.2018_JSRT_74.11.1286
  • ISSN : 0369-4305
  • eISSN : 1881-4883
  • CiNii Articles ID : 130007519721
  • CiNii Books ID : AN00197784
  • CiNii Research ID : 1390564238044040960
  • Pubmed ID : 30464096

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