文章摘要
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.
两种四维CT重建算法对肺癌放疗靶区勾画影响的体模研究
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
DOI:10.1007/s10330-314-0021-9
中文关键词: 肺癌;4DCT;相位分段算法;振幅分段算法
英文关键词: four-dimensional computed tomography (4DCT); phase-binning algorithm; amplitude-binning algorithm; lung cancer
基金项目:全军军事医学计量专项课题(2011-JL2-005)
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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中文摘要:
  摘要 目的: 基于呼吸运动模体,评估相位分段和振幅分段两种四维CT重建算法对肺癌放疗靶区勾画的影响。材料与方法: 对12例非小细胞肺癌患者行4DCT模拟定位,将4DCT图像依据呼吸曲线均分为0%~90%的10个呼吸时相,将采集到的患者的呼吸信号导入Quasar呼吸运动模体,用以模拟肿瘤的呼吸动度,分析两种算法对靶区勾画的影响。结果: 较之相位分段算法,基于振幅分段重建算法获得的4DCT图像靶区体积较小。结论: 振幅分段重建算法在降低肿瘤外放边缘和保护正常肺组织免受不必要照射方面有一定优势。
英文摘要:
    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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