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13 August 2019 Three-dimensional measurement of the thoracoabdominal body surface during respiration using three-dimensional wavelet transform
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Abstract

We present a measurement method for obtaining three-dimensional (3-D) images of the thoracic and abdominal body surface during respiration. This method generates a color pattern composed of R, G, and B cosine stripe patterns to obtain a single image-based 3-D measurement. The 3-D wavelet transform is adopted to extract wrapped phases from a stripe image sequence to improve the accuracy of the wrapped phase extraction. Then, a two-frequency temporal phase unwrapping formula is proposed and extended to a multifrequency formula according to the geometric relationship between the wrapped and the unwrapped phase curves, which enhances its anti-interference performance and calculation speed. Simulations and body measurements reveal that the proposed method can effectively measure the 3-D body surface during respiration. By using multiple characteristic parameters, this method overcomes the limitation of only using feature points to represent respiratory movement on the thoracic and abdominal body surface. This method has important applications for tracking respiratory motion during clinical radiotherapy.

© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2019/$28.00 © 2019 SPIE
Xiaoyang Yu, Qi Fan, Shuang Yu, Yanqiao Zhao, Xiaoliang Meng, Haibin Wu, and Deyun Chen "Three-dimensional measurement of the thoracoabdominal body surface during respiration using three-dimensional wavelet transform," Optical Engineering 58(8), 084102 (13 August 2019). https://doi.org/10.1117/1.OE.58.8.084102
Received: 17 April 2019; Accepted: 23 July 2019; Published: 13 August 2019
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