Fuli Zhang,Huayong Jiang,Weidong Xu,Yadi Wang,Qingzhi Liu,Na Lu,Diandian Chen,Bo Yao. Phantom-based evaluations of two binning algorithms for four-dimensional CT reconstruction in lung cancer radiation therapy. Oncol Transl Med, 2014, 13: 563-566.
Phantom-based evaluations of two binning algorithms for four-dimensional CT reconstruction in lung cancer radiation therapy
Received:November 03, 2014  Revised:December 09, 2014
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KeyWord:four-dimensional computed tomography (4DCT); phase-binning algorithm; amplitude-binning algorithm; lung cancer
Author NameAffiliationE-mail
Fuli Zhang Department of Radiation Oncology, The Military General Hospital of Beijing PLA radiozfli@163.com 
Huayong Jiang Department of Radiation Oncology, The Military General Hospital of Beijing PLA, Beijing 100700, China  
Weidong Xu Department of Radiation Oncology, The Military General Hospital of Beijing PLA, Beijing 100700, China  
Yadi Wang Department of Radiation Oncology, The Military General Hospital of Beijing PLA, Beijing 100700, China  
Qingzhi Liu Department of Radiation Oncology, The Military General Hospital of Beijing PLA, Beijing 100700, China  
Na Lu Department of Radiation Oncology, The Military General Hospital of Beijing PLA, Beijing 100700, China  
Diandian Chen Department of Radiation Oncology, The Military General Hospital of Beijing PLA, Beijing 100700, China  
Bo Yao Department of Radiation Oncology, The Military General Hospital of Beijing PLA, Beijing 100700, China  
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Abstract:
      Objective: The purpose of this study was to evaluate the performance of the phase-binning algorithm and amplitude-binning algorithm for four-dimensional computed tomography (4DCT) reconstruction in lung cancer radiation therapy. Methods: Quasar phantom data were used for evaluation. A phantom of known geometry was mounted on a four-dimensional (4D) motion platform programmed with twelve respiratory waves (twelve lung patients trajectories) and scanned with a Philips Brilliance Big bore 16-slice CT simulator. The 4DCT images were reconstructed using both phase- and amplitude-binning algorithms. Internal target volumes (ITVs) of the phase- and amplitude-binned image sets were compared by evaluation of shape and volume distortions. Results: The phantom experiments illustrated that, as expected, maximum inhalation occurred at the 0% amplitude and maximum exhalation occurred at the 50% amplitude of the amplitude-binned 4DCT image sets. The amplitude-binned algorithm rendered smaller ITV than the phase-binning algorithm. Conclusion: The amplitude-binning algorithm for 4DCT reconstruction may have a potential advantage in reducing the margin and protecting normal lung tissue from unnecessary irradiation.
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