Accuracy of radiotherapy dose calculations based on cone-beam CT: comparison of deformable registration and image correction based methods

被引:37
|
作者
Marchant, T. E. [1 ,2 ]
Joshi, K. D. [2 ]
Moore, C. J. [1 ]
机构
[1] Univ Manchester, Christie NHS Fdn Trust, Manchester Acad Hlth Sci Ctr, Manchester M20 4BX, Lancs, England
[2] Christie NHS Fdn Trust, Christie Med Phys & Engn, Manchester M20 4BX, Lancs, England
来源
PHYSICS IN MEDICINE AND BIOLOGY | 2018年 / 63卷 / 06期
基金
英国医学研究理事会;
关键词
cone-beam CT; image guided radiotherapy; deformable image registration; GUIDED RADIATION-THERAPY; SHADING CORRECTION; ADAPTIVE RADIOTHERAPY; COMPUTED-TOMOGRAPHY; CBCT; SCATTER;
D O I
10.1088/1361-6560/aab0f0
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Radiotherapy dose calculations based on cone-beam CT (CBCT) images can be inaccurate due to unreliable Hounsfield units (HU) in the CBCT. Deformable image registration of planning CT images to CBCT, and direct correction of CBCT image values are two methods proposed to allow heterogeneity corrected dose calculations based on CBCT. In this paper we compare the accuracy and robustness of these two approaches. CBCT images for 44 patients were used including pelvis, lung and head & neck sites. CBCT HU were corrected using a 'shading correction' algorithm and via deformable registration of planning CT to CBCT using either Elastix or Niftyreg. Radiotherapy dose distributions were re-calculated with heterogeneity correction based on the corrected CBCT and several relevant dose metrics for target and OAR volumes were calculated. Accuracy of CBCT based dose metrics was determined using an 'override ratio' method where the ratio of the dose metric to that calculated on a bulk-density assigned version of the same image is assumed to be constant for each patient, allowing comparison to the patient's planning CT as a gold standard. Similar performance is achieved by shading corrected CBCT and both deformable registration algorithms, with mean and standard deviation of dose metric error less than 1% for all sites studied. For lung images, use of deformed CT leads to slightly larger standard deviation of dose metric error than shading corrected CBCT with more dose metric errors greater than 2% observed (7% versus 1%).
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Deformable planning CT to cone-beam CT image registration in head-and-neck cancer
    Hou, Jidong
    Guerrero, Mariana
    Chen, Wenjuan
    D'Souza, Warren D.
    MEDICAL PHYSICS, 2011, 38 (04) : 2088 - 2094
  • [32] Evaluation of deformable image registration for contour propagation between CT and cone-beam CT images in adaptive head and neck radiotherapy
    Li, X.
    Zhang, Y. Y.
    Shi, Y. H.
    Zhou, L. H.
    Zhen, X.
    TECHNOLOGY AND HEALTH CARE, 2016, 24 : S747 - S755
  • [33] Deformable registration of CT and cone-beam CT with local intensity matching
    Park, Seyoun
    Plishker, William
    Quon, Harry
    Wong, John
    Shekhar, Raj
    Lee, Junghoon
    PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (03): : 927 - 947
  • [34] Investigation of dosimetric variations of liver radiotherapy using deformable registration of planning CT and cone-beam CT
    Huang, Pu
    Yu, Gang
    Chen, Jinhu
    Ma, Changsheng
    Qin, Shaohua
    Yin, Yong
    Liang, Yueqiang
    Li, Hongsheng
    Li, Dengwang
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2017, 18 (01): : 66 - 75
  • [35] Shading correction for cone-beam CT in radiotherapy: Validation of dose calculation accuracy using clinical images
    Marchant, T. E.
    Joshi, K. D.
    Moore, C. J.
    MEDICAL IMAGING 2017: PHYSICS OF MEDICAL IMAGING, 2017, 10132
  • [36] An adversarial machine learning based approach and biomechanically-guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT for adaptive prostate radiotherapy applications
    Santhanam, Anand P.
    Lauria, Michael
    Stiehl, Brad
    Elliott, Daniel
    Seshan, Saty
    Hsieh, Scott
    Cao, Minsong
    Low, Daniel
    MEDICAL IMAGING 2020: IMAGE PROCESSING, 2021, 11313
  • [37] Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT
    Li, Na
    Zhou, Xuanru
    Chen, Shupeng
    Dai, Jingjing
    Wang, Tangsheng
    Zhang, Chulong
    He, Wenfeng
    Xie, Yaoqin
    Liang, Xiaokun
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [38] Dose of the Day Calculations Based On Cone Beam Computed Tomography and Deformable Image Registration for Locally Advanced Lung Cancer
    Yuan, Z.
    Rong, Y.
    Benedict, S.
    Daly, M.
    Qiu, J.
    Yamamoto, T.
    MEDICAL PHYSICS, 2018, 45 (06) : E170 - E170
  • [39] A study of accuracy evaluation of dose distribution calculation based on the cone-beam CT
    Fujimoto, K.
    Tateoka, K.
    Hareyama, M.
    RADIOTHERAPY AND ONCOLOGY, 2015, 115 : S839 - S839
  • [40] Patient dose in KV cone-beam CT image-guided radiotherapy
    Islam, M
    Purdie, T
    Moseley, D
    Alasti, H
    Norrlinger, B
    Sharpe, M
    Siewerdsen, J
    Jaffray, D
    MEDICAL PHYSICS, 2004, 31 (06) : 1830 - 1830