A statistical analysis of external respiratory motion using Microsoft Kinect

Fatemeh Tahavori, Ashrani Aizzuddin Abd Rahni, Kevin Wells

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

External respiratory motion has been extracted from a set of normal volunteers (14 males and 6 females) using Kinect for Windows - a low cost 3D depth camera, which is non-invasive and where there is no marker placement requirement. Such motion was captured on three separate occasions for each individual. We present the first analysis of this respiratory motion. All volunteers were registered to a common reference using a 2D affine transformation so that inter- and intra-session analysis could be successfully completed. A map representing the standard deviation of the depth displacement across the chest was obtained to categorise the dominant mode of breathing. To investigate this hypothesis, the first Eigen image obtained was segmented. Then statistical characteristics of this motion were extracted for each individual including amplitude, period, end exhale, as well as baseline drift and duty cycle, as represented by binning the data into 10 phases as commonly used in dynamic CT. We also demonstrate the intrinsic relationship between respiratory frequency and respiratory amplitude. This work demonstrates for the first time the effectiveness of Kinect in acquiring external respiratory motion data across a significant cohort of volunteers without the need for marker placement. Moreover this analysis offers insight into the inter- and intra session variations in respiratory motion. Such information may be used to inform the development of motion correction and motion prediction strategies in diagnostic and therapeutic imaging.

Original languageEnglish
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479960972
DOIs
Publication statusPublished - 10 Mar 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: 8 Nov 201415 Nov 2014

Other

OtherIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
CountryUnited States
CitySeattle
Period8/11/1415/11/14

Fingerprint

statistical analysis
markers
Volunteers
chest
Diagnostic Imaging
breathing
standard deviation
Healthy Volunteers
Respiration
Thorax
cameras
Costs and Cost Analysis
requirements
cycles
predictions

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Cite this

Tahavori, F., Abd Rahni, A. A., & Wells, K. (2016). A statistical analysis of external respiratory motion using Microsoft Kinect. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 [7430893] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2014.7430893

A statistical analysis of external respiratory motion using Microsoft Kinect. / Tahavori, Fatemeh; Abd Rahni, Ashrani Aizzuddin; Wells, Kevin.

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. Institute of Electrical and Electronics Engineers Inc., 2016. 7430893.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tahavori, F, Abd Rahni, AA & Wells, K 2016, A statistical analysis of external respiratory motion using Microsoft Kinect. in 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014., 7430893, Institute of Electrical and Electronics Engineers Inc., IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014, Seattle, United States, 8/11/14. https://doi.org/10.1109/NSSMIC.2014.7430893
Tahavori F, Abd Rahni AA, Wells K. A statistical analysis of external respiratory motion using Microsoft Kinect. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. Institute of Electrical and Electronics Engineers Inc. 2016. 7430893 https://doi.org/10.1109/NSSMIC.2014.7430893
Tahavori, Fatemeh ; Abd Rahni, Ashrani Aizzuddin ; Wells, Kevin. / A statistical analysis of external respiratory motion using Microsoft Kinect. 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. Institute of Electrical and Electronics Engineers Inc., 2016.
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