Computerized method to compensate for breathing body motion in dynamic chest radiographs

H. Matsuda; R. Tanaka; S. Sanada

doi:10.1117/12.2254359

13 March 2017 Computerized method to compensate for breathing body motion in dynamic chest radiographs

H. Matsuda, R. Tanaka, S. Sanada

Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101371Q (2017) https://doi.org/10.1117/12.2254359
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Dynamic chest radiography combined with computer analysis allows quantitative analyses on pulmonary function and rib motion. The accuracy of kinematic analysis is directly linked to diagnostic accuracy, and thus body motion compensation is a major concern. Our purpose in this study was to develop a computerized method to reduce a breathing body motion in dynamic chest radiographs. Dynamic chest radiographs of 56 patients were obtained using a dynamic flat-panel detector. The images were divided into a 1 cm-square and the squares on body counter were used to detect the body motion. Velocity vector was measured using cross-correlation method on the body counter and the body motion was then determined on the basis of the summation of motion vector. The body motion was then compensated by shifting the images based on the measured vector. By using our method, the body motion was accurately detected by the order of a few pixels in clinical cases, mean 82.5% in right and left directions. In addition, our method detected slight body motion which was not able to be identified by human observations. We confirmed our method effectively worked in kinetic analysis of rib motion. The present method would be useful for the reduction of a breathing body motion in dynamic chest radiography.

Citation Download Citation

H. Matsuda, R. Tanaka, and S. Sanada "Computerized method to compensate for breathing body motion in dynamic chest radiographs", Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101371Q (13 March 2017); https://doi.org/10.1117/12.2254359

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KEYWORDS

Chest imaging

Chest

Motion analysis

Motion detection

Radiography

Abdomen

Motion measurement

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