Document Detail


Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback.
MedLine Citation:
PMID:  21081883     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A respiratory training system based on audiovisual biofeedback has been implemented at our institution. It is intended to improve patients' respiratory regularity during four-dimensional (4D) computed tomography (CT) image acquisition. The purpose is to help eliminate the artifacts in 4D-CT images caused by irregular breathing, as well as improve delivery efficiency during treatment, where respiratory irregularity is a concern. This article describes the commissioning and quality assurance (QA) procedures developed for this peripheral respiratory training system, the Stanford Respiratory Training (START) system. Using the Varian real-time position management system for the respiratory signal input, the START software was commissioned and able to acquire sample respiratory traces, create a patient-specific guiding waveform, and generate audiovisual signals for improving respiratory regularity. Routine QA tests that include hardware maintenance, visual guiding-waveform creation, auditory sounds synchronization, and feedback assessment, have been developed for the START system. The QA procedures developed here for the START system could be easily adapted to other respiratory training systems based on audiovisual biofeedback.
Authors:
Guoqiang Cui; Siddharth Gopalan; Tokihiro Yamamoto; Jonathan Berger; Peter G Maxim; Paul J Keall
Related Documents :
23921773 - Superimposition-based personal identification using skull computed tomographic images: ...
23542933 - Optical coherence tomography for rapid tissue screening and directed histological secti...
18232383 - Vessel extraction under non-uniform illumination: a level set approach.
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2010-07-12
Journal Detail:
Title:  Journal of applied clinical medical physics / American College of Medical Physics     Volume:  11     ISSN:  1526-9914     ISO Abbreviation:  J Appl Clin Med Phys     Publication Date:  2010  
Date Detail:
Created Date:  2010-11-18     Completed Date:  2011-03-10     Revised Date:  2013-07-03    
Medline Journal Info:
Nlm Unique ID:  101089176     Medline TA:  J Appl Clin Med Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3262     Citation Subset:  IM    
Affiliation:
Department of Radiation Oncology, Stanford University. Stanford, CA, USA. guoqiang.cui@stanford.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms
Biofeedback, Psychology*
Female
Humans
Imaging, Three-Dimensional
Quality Assurance, Health Care*
Radiographic Image Enhancement
Radiographic Image Interpretation, Computer-Assisted
Respiratory Mechanics / physiology*
Software
Tomography, X-Ray Computed / methods*
Video Recording / methods*
Grant Support
ID/Acronym/Agency:
R01 93626//PHS HHS; R01 CA093626/CA/NCI NIH HHS; R01 CA093626-07/CA/NCI NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Dosimetric comparison study between intensity modulated radiation therapy and three-dimensional conf...
Next Document:  Portal dosimetry for pretreatment verification of IMRT plan: a comparison with 2D ion chamber array.