An investigation of a video-based patient repositioning technique

Yulong Yan, Yulin Song, Arthur L. Boyer

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Purpose: We have investigated a video-based patient repositioning technique designed to use skin features for radiotherapy repositioning. We investigated the feasibility of the clinical application of this system by quantitative evaluation of performance characteristics of the methodology. Methods and Materials: Multiple regions of interest (ROI) were specified in the field of view of video cameras. We used a normalized correlation pattern-matching algorithm to compute the translations of each ROI pattern in a target image. These translations were compared against trial translations using a quadratic cost function for an optimization process in which the patient rotation and translational parameters were calculated. Results: A hierarchical search technique achieved high-speed (compute correlation for 128 × 128 ROI in 512 × 512 target image within 0.005 s) and subpixel spatial accuracy (as high as 0.2 pixel). By treating the observed translations as movements of points on the surfaces of a hypothetical cube, we were able to estimate accurately the actual translations and rotations of the test phantoms used in our experiments to less than 1 mm and 0.2° with a standard deviation of 0.3 mm and 0.5° respectively. For human volunteer cases, we estimated the translations and rotations to have an accuracy of 2 mm and 1.2°. Conclusion: A personal computer-based video system is suitable for routine patient setup of fractionated conformal radiotherapy. It is expected to achieve high-precision repositioning of the skin surface with high efficiency.

Original languageEnglish (US)
Pages (from-to)606-614
Number of pages9
JournalInternational Journal of Radiation Oncology Biology Physics
Volume54
Issue number2
DOIs
StatePublished - Oct 1 2002

Fingerprint

Moving and Lifting Patients
radiation therapy
Conformal Radiotherapy
Skin
personal computers
Microcomputers
field of view
Volunteers
standard deviation
Radiotherapy
pixels
cameras
high speed
methodology
costs
Costs and Cost Analysis
optimization
evaluation
estimates

Keywords

  • Conformal radiotherapy
  • Optimization
  • Patient repositioning
  • Pattern recognition
  • Video imaging

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Radiation

Cite this

An investigation of a video-based patient repositioning technique. / Yan, Yulong; Song, Yulin; Boyer, Arthur L.

In: International Journal of Radiation Oncology Biology Physics, Vol. 54, No. 2, 01.10.2002, p. 606-614.

Research output: Contribution to journalArticle

@article{c534a78d2b95419c8cdf6612bd8c449f,
title = "An investigation of a video-based patient repositioning technique",
abstract = "Purpose: We have investigated a video-based patient repositioning technique designed to use skin features for radiotherapy repositioning. We investigated the feasibility of the clinical application of this system by quantitative evaluation of performance characteristics of the methodology. Methods and Materials: Multiple regions of interest (ROI) were specified in the field of view of video cameras. We used a normalized correlation pattern-matching algorithm to compute the translations of each ROI pattern in a target image. These translations were compared against trial translations using a quadratic cost function for an optimization process in which the patient rotation and translational parameters were calculated. Results: A hierarchical search technique achieved high-speed (compute correlation for 128 × 128 ROI in 512 × 512 target image within 0.005 s) and subpixel spatial accuracy (as high as 0.2 pixel). By treating the observed translations as movements of points on the surfaces of a hypothetical cube, we were able to estimate accurately the actual translations and rotations of the test phantoms used in our experiments to less than 1 mm and 0.2° with a standard deviation of 0.3 mm and 0.5° respectively. For human volunteer cases, we estimated the translations and rotations to have an accuracy of 2 mm and 1.2°. Conclusion: A personal computer-based video system is suitable for routine patient setup of fractionated conformal radiotherapy. It is expected to achieve high-precision repositioning of the skin surface with high efficiency.",
keywords = "Conformal radiotherapy, Optimization, Patient repositioning, Pattern recognition, Video imaging",
author = "Yulong Yan and Yulin Song and Boyer, {Arthur L.}",
year = "2002",
month = "10",
day = "1",
doi = "10.1016/S0360-3016(02)02934-6",
language = "English (US)",
volume = "54",
pages = "606--614",
journal = "International Journal of Radiation Oncology Biology Physics",
issn = "0360-3016",
publisher = "Elsevier Inc.",
number = "2",

}

TY - JOUR

T1 - An investigation of a video-based patient repositioning technique

AU - Yan, Yulong

AU - Song, Yulin

AU - Boyer, Arthur L.

PY - 2002/10/1

Y1 - 2002/10/1

N2 - Purpose: We have investigated a video-based patient repositioning technique designed to use skin features for radiotherapy repositioning. We investigated the feasibility of the clinical application of this system by quantitative evaluation of performance characteristics of the methodology. Methods and Materials: Multiple regions of interest (ROI) were specified in the field of view of video cameras. We used a normalized correlation pattern-matching algorithm to compute the translations of each ROI pattern in a target image. These translations were compared against trial translations using a quadratic cost function for an optimization process in which the patient rotation and translational parameters were calculated. Results: A hierarchical search technique achieved high-speed (compute correlation for 128 × 128 ROI in 512 × 512 target image within 0.005 s) and subpixel spatial accuracy (as high as 0.2 pixel). By treating the observed translations as movements of points on the surfaces of a hypothetical cube, we were able to estimate accurately the actual translations and rotations of the test phantoms used in our experiments to less than 1 mm and 0.2° with a standard deviation of 0.3 mm and 0.5° respectively. For human volunteer cases, we estimated the translations and rotations to have an accuracy of 2 mm and 1.2°. Conclusion: A personal computer-based video system is suitable for routine patient setup of fractionated conformal radiotherapy. It is expected to achieve high-precision repositioning of the skin surface with high efficiency.

AB - Purpose: We have investigated a video-based patient repositioning technique designed to use skin features for radiotherapy repositioning. We investigated the feasibility of the clinical application of this system by quantitative evaluation of performance characteristics of the methodology. Methods and Materials: Multiple regions of interest (ROI) were specified in the field of view of video cameras. We used a normalized correlation pattern-matching algorithm to compute the translations of each ROI pattern in a target image. These translations were compared against trial translations using a quadratic cost function for an optimization process in which the patient rotation and translational parameters were calculated. Results: A hierarchical search technique achieved high-speed (compute correlation for 128 × 128 ROI in 512 × 512 target image within 0.005 s) and subpixel spatial accuracy (as high as 0.2 pixel). By treating the observed translations as movements of points on the surfaces of a hypothetical cube, we were able to estimate accurately the actual translations and rotations of the test phantoms used in our experiments to less than 1 mm and 0.2° with a standard deviation of 0.3 mm and 0.5° respectively. For human volunteer cases, we estimated the translations and rotations to have an accuracy of 2 mm and 1.2°. Conclusion: A personal computer-based video system is suitable for routine patient setup of fractionated conformal radiotherapy. It is expected to achieve high-precision repositioning of the skin surface with high efficiency.

KW - Conformal radiotherapy

KW - Optimization

KW - Patient repositioning

KW - Pattern recognition

KW - Video imaging

UR - http://www.scopus.com/inward/record.url?scp=0036804457&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036804457&partnerID=8YFLogxK

U2 - 10.1016/S0360-3016(02)02934-6

DO - 10.1016/S0360-3016(02)02934-6

M3 - Article

C2 - 12243841

AN - SCOPUS:0036804457

VL - 54

SP - 606

EP - 614

JO - International Journal of Radiation Oncology Biology Physics

JF - International Journal of Radiation Oncology Biology Physics

SN - 0360-3016

IS - 2

ER -