Literature DB >> 18072517

Guiding curve based on the normal breathing as monitored by thermocouple for regular breathing.

Sangwook Lim1, Sung Ho Park, Seung Do Ahn, Yelin Suh, Seong Soo Shin, Sang-wook Lee, Jong Hoon Kim, Eun Kyoung Choi, Byong Yong Yi, Soo Il Kwon, Sookil Kim, Tae Sig Jeung.   

Abstract

Adapting radiation fields to a moving target requires information continuously on the location of internal target by detecting it directly or indirectly. The aim of this study is to make the breathing regular effectively with minimizing stress to the patient. A system for regulating patient's breath consists of a respiratory monitoring mask (ReMM), a thermocouple module, a screen, inner earphones, and a personal computer. A ReMM with thermocouple was developed previously to measure the patient's respiration. A software was written in LabView 7.0 (National Instruments, TX), which acquires respiration signal and displays its pattern. Two curves are displayed on the screen: One is a curve indicating the patient's current breathing pattern; the other is a guiding curve, which is iterated with one period of the patient's normal breathing curve. The guiding curves were acquired for each volunteer before they breathed with guidance. Ten volunteers participated in this study to evaluate this system. A cycle of the representative guiding curve was acquired by monitoring each volunteer's free breathing with ReMM and was then generated iteratively. The regularity was compared between a free breath curve and a guided breath curve by measuring standard deviations of amplitudes and periods of two groups of breathing. When the breathing was guided, the standard deviation of amplitudes and periods on average were reduced from 0.0029 to 0.00139 (arbitrary units) and from 0.359 s to 0.202 s, respectively. And the correlation coefficients between breathing curves and guiding curves were greater than 0.99 for all volunteers. The regularity was improved statistically when the guiding curve was used.

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Year:  2007        PMID: 18072517     DOI: 10.1118/1.2795829

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  7 in total

1.  Audiovisual biofeedback improves diaphragm motion reproducibility in MRI.

Authors:  Taeho Kim; Sean Pollock; Danny Lee; Ricky O'Brien; Paul Keall
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

2.  Respiratory motion management using audio-visual biofeedback for respiratory-gated radiotherapy of synchrotron-based pulsed heavy-ion beam delivery.

Authors:  Pengbo He; Qiang Li; Xinguo Liu; Zhongying Dai; Ting Zhao; Tingyan Fu; Guosheng Shen; Yuanyuan Ma; Qiyan Huang; Yuanlin Yan
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

3.  Comparison of visual biofeedback system with a guiding waveform and abdomen-chest motion self-control system for respiratory motion management.

Authors:  Yujiro Nakajima; Noriyuki Kadoya; Takayuki Kanai; Kengo Ito; Kiyokazu Sato; Suguru Dobashi; Takaya Yamamoto; Yojiro Ishikawa; Haruo Matsushita; Ken Takeda; Keiichi Jingu
Journal:  J Radiat Res       Date:  2016-02-27       Impact factor: 2.724

4.  Comparison between audio-only and audiovisual biofeedback for regulating patients' respiration during four-dimensional radiotherapy.

Authors:  Jesang Yu; Ji Hoon Choi; Sun Young Ma; Tae Sig Jeung; Sangwook Lim
Journal:  Radiat Oncol J       Date:  2015-09-30

5.  Impact of incorporating visual biofeedback in 4D MRI.

Authors:  David T To; Joshua P Kim; Ryan G Price; Indrin J Chetty; Carri K Glide-Hurst
Journal:  J Appl Clin Med Phys       Date:  2016-05-08       Impact factor: 2.102

6.  Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer.

Authors:  Soo Yong Lee; Sangwook Lim; Sun Young Ma; Jesang Yu
Journal:  Radiat Oncol J       Date:  2017-09-29

7.  Direct tumor visual feedback during free breathing in 0.35T MRgRT.

Authors:  Taeho Kim; Benjamin C Lewis; Alex Price; Thomas Mazur; H Michael Gach; Justin C Park; Bin Cai; Erin Wittland; Lauren Henke; Hyun Kim; Sasa Mutic; Olga Green
Journal:  J Appl Clin Med Phys       Date:  2020-09-15       Impact factor: 2.102

  7 in total

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