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Evaluation of four-dimensional cone beam computed tomography ventilation images acquired with two different linear accelerators at various gantry speeds using a deformable lung phantom

Published:August 11, 2020DOI:https://doi.org/10.1016/j.ejmp.2020.07.030

      Highlights

      • We evaluated VICBCT obtained with TrueBeam and Versa HD at various gantry speeds.
      • Jacobian-based VICBCT had better agreement with the VICT compared with the HU-based VICBCT.
      • The Versa HD VICBCT had higher agreement with the VICT than the TrueBeam VICBCT.

      Abstract

      We evaluated four-dimensional cone beam computed tomography (4D-CBCT) ventilation images (VICBCT) acquired with two different linear accelerator systems at various gantry speeds using a deformable lung phantom.
      The 4D-CT and 4D-CBCT scans were performed using a computed tomography (CT) scanner, an X-ray volume imaging system (Elekta XVI) mounted in Versa HD, and an On-Board Imager (OBI) system mounted in TrueBeam. Intensity-based deformable image registration (DIR) was performed between peak-exhale and peak-inhale images. VICBCT- and 4D-CT-based ventilation images (VICT) were derived by DIR using two metrics: one based on the Jacobian determinant and one on changes in the Hounsfield unit (HU). Three different DIR regularization values (λ) were used for VICBCT. Correlations between the VICBCT and VICT values were evaluated using voxel-wise Spearman’s rank correlation coefficient (r).
      In case of both metrics, the Jacobian-based VICBCT with a gantry speed of 0.6 deg/sec in Versa HD showed the highest correlation for all the gantry speeds (e.g., λ = 0.05 and r = 0.68). Thus, the r value of the Jacobian-based VICBCT was greater or equal to that of the HU-based VICBCT. In addition, the ventilation accuracy of VICBCT increased at low gantry speeds.
      Thus, the image quality of VICBCT was affected by the change in gantry speed in both the imaging systems. Additionally, DIR regularization considerably influenced VICBCT in both the imaging systems. Our results have the potential to assist in designing CBCT protocols, incorporating VICBCT imaging into the functional avoidance planning process.

      Keywords

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      References

        • Guerrero T.
        • Sanders K.
        • Noyola-Martinez J.
        • Castillo E.
        • Zhang Y.
        • Tapia R.
        • et al.
        Quantification of regional ventilation from treatment planning CT.
        Int J Radiat Oncol Biol Phys. 2005; 62: 630-634
        • Guerrero T.
        • Sanders K.
        • Castillo E.
        • Zhang Y.
        • Bidaut L.
        • Pan T.
        • et al.
        Dynamic ventilation imaging from four-dimensional computed tomography.
        Phys Med Biol. 2006; 51: 777-791
        • Reinhardt J.M.
        • Ding K.
        • Cao K.
        • Christensen G.E.
        • Hoffman E.A.
        • Bodas S.V.
        Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation.
        Med Image Anal. 2008; 12: 752-763
        • McGuire S.M.
        • Zhou S.
        • Marks L.B.
        • Dewhirst M.
        • Yin F.F.
        • Das S.K.
        A methodology for using SPECT to reduce intensity-modulated radiation therapy (IMRT) dose to functioning lung.
        Int J Radiat Oncol Biol Phys. 2006; 66: 1543-1552
        • Ireland R.H.
        • Bragg C.M.
        • McJury M.
        • Woodhouse N.
        • Fichele S.
        • van Beek E.J.R.
        • et al.
        Feasibility of image registration and intensity-modulated radiotherapy planning with hyperpolarized helium-3 magnetic resonance imaging for non–small-cell lung cancer.
        Int J Radiat Oncol Biol Phys. 2007; 68: 273-281
        • Fuld M.K.
        • Easley R.B.
        • Saba O.I.
        • Chon D.
        • Reinhardt J.M.
        • Hoffman E.A.
        • et al.
        CT-measured regional specific volume change reflects regional ventilation in supine sheep.
        J Appl Physiol. 2008; 104: 1177-1184
        • Kipritidis J.
        • Siva S.
        • Hofman M.S.
        • Callahan J.
        • Hicks R.J.
        • Keall P.J.
        Validating and improving CT ventilation imaging by correlating with ventilation 4D-PET/CT using 68Ga-labeled nanoparticles.
        Med Phys. 2014; 41011910
        • Kanai T.
        • Kadoya N.
        • Ito K.
        • Kishi K.
        • Dobashi S.
        • Yamamoto T.
        • et al.
        Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation: The high correlation between 4D-CT ventilation and (81m)Kr-planar images was found.
        Radiother Oncol. 2016; 119: 444-448
        • Yamamoto T.
        • Kabus S.
        • Lorenz C.
        • Mittra E.
        • Hong J.C.
        • Chung M.
        • et al.
        Pulmonary ventilation imaging based on 4-dimensional computed tomography: comparison with pulmonary function tests and SPECT ventilation images.
        Int J Radiat Oncol Biol Phys. 2014; 90: 414-422
        • Vinogradskiy Y.
        • Koo P.J.
        • Castillo R.
        • Castillo E.
        • Guerrero T.
        • Gaspar L.E.
        • et al.
        Comparison of 4-dimensional computed tomography ventilation with nuclear medicine ventilation-perfusion imaging: a clinical validation study.
        Int J Radiat Oncol Biol Phys. 2014; 89: 199-205
        • Mathew L.
        • Wheatley A.
        • Castillo R.
        • Castillo E.
        • Rodrigues G.
        • Guerrero T.
        • et al.
        Hyperpolarized (3)He magnetic resonance imaging: comparison with four-dimensional x-ray computed tomography imaging in lung cancer.
        Acad Radiol. 2012; 19: 1546-1553
        • Bucknell N.W.
        • Hardcastle N.
        • Bressel M.
        • Hofman M.S.
        • Kron T.
        • Ball D.
        • et al.
        Functional lung imaging in radiation therapy for lung cancer: a systematic review and meta-analysis.
        Radiother Oncol. 2018; 129: 196-208
        • Yamamoto T.
        • Kabus S.
        • Bal M.
        • Keall P.
        • Benedict S.
        • Daly M.
        The first patient treatment of computed tomography ventilation functional image-guided radiotherapy for lung cancer.
        Radiother Oncol. 2016; 118: 227-231
        • Meng X.
        • Frey K.
        • Matuszak M.
        • Paul S.
        • Ten Haken R.
        • Yu J.
        • et al.
        Changes in functional lung regions during the course of radiation therapy and their potential impact on lung dosimetry for non-small cell lung cancer.
        Int J Radiat Oncol Biol Phys. 2014; 89: 145-151
        • Woodruff H.C.
        • Shieh C.C.
        • Hegi-Johnson F.
        • Keall P.J.
        • Kipritidis J.
        Quantifying the reproducibility of lung ventilation images between 4-dimensional cone beam CT and 4-dimensional CT.
        Med Phys. 2017; 44: 1771-1781
        • Vinogradskiy Y.Y.
        • Castillo R.
        • Castillo E.
        • Chandler A.
        • Martel M.K.
        • Guerrero T.
        Use of weekly 4DCT-based ventilation maps to quantify changes in lung function for patients undergoing radiation therapy.
        Med Phys. 2012; 39: 289-298
        • Jensen K.R.
        • Brink C.
        • Hansen O.
        • Bernchou U.
        Ventilation measured on clinical 4D-CBCT: Increased ventilation accuracy through improved image quality.
        Radiother Oncol. 2017; 125: 459-463
        • Kipritidis J.
        • Hugo G.
        • Weiss E.
        • Williamson J.
        • Keall P.J.
        Measuring interfraction and intrafraction lung function changes during radiation therapy using four-dimensional cone beam CT ventilation imaging.
        Med Phys. 2015; 42: 1255-1267
        • Lee S.
        • Yan G.
        • Lu B.
        • Kahler D.
        • Li J.G.
        • Sanjiv S.S.
        Impact of scanning parameters and breathing patterns on image quality and accuracy of tumor motion reconstruction in 4D CBCT: a phantom study.
        J Appl Clin Med Phys. 2015; 16: 195-212
        • Santoso A.P.
        • Song K.H.
        • Qin Y.
        • Gardner S.J.
        • Liu C.
        • Chetty I.J.
        • et al.
        Evaluation of gantry speed on image quality and imaging dose for 4D cone-beam CT acquisition.
        Radiat Oncol. 2016; 11: 98
        • Serban M.
        • Heath E.
        • Stroian G.
        • Collins D.L.
        • Seuntjens J.
        A deformable phantom for 4D radiotherapy verification: design and image registration evaluation.
        Med Phys. 2008; 35: 1094
        • Feldkamp L.
        • Davis L.C.
        • Kress J.
        Practical Cone-beam algorithm.
        J Opt Soc Am. 1984; 1: 612-619
        • Klein S.
        • Staring M.
        • Murphy K.
        • Viergever M.A.
        • Pluim J.P.
        elastix: a toolbox for intensity-based medical image registration.
        IEEE Trans Med Imaging. 2010; 29: 196-205
        • Murphy K.
        • van Ginneken B.
        • Reinhardt J.M.
        • Kabus S.
        • Ding K.
        • Deng X.
        • et al.
        Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge.
        IEEE Trans Med Imaging. 2011; 30: 1901-1920
        • Kanai T.
        • Kadoya N.
        • Ito K.
        • Onozato Y.
        • Cho S.Y.
        • Kishi K.
        • et al.
        Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images.
        J Radiat Res. 2014; 55: 1163-1170
        • Castillo R.
        • Castillo E.
        • Martinez J.
        • Guerrero T.
        Ventilation from four-dimensional computed tomography: density versus Jacobian methods.
        Phys Med Biol. 2010; 55: 4661-4685
        • Kabus S.
        • von Berg J.
        • Yamamoto T.
        • Keall P.J.
        Lung ventilation estimation based on 4D-CT imaging.
        in: Proceedings of the First International Workshop on Pulmonary Image Analysis. 2008: 77-81
        • Kipritidis J.
        • Hofman M.S.
        • Siva S.
        • Callahan J.
        • Le Roux P.Y.
        • Woodruff H.C.
        • et al.
        Estimating lung ventilation directly from 4D CT Hounsfield unit values.
        Med Phys. 2016; 43: 33
        • Hegi-Johnson F.
        • Keall P.
        • Barber J.
        • Bui C.
        • Kipritidis J.
        Evaluating the accuracy of 4D-CT ventilation imaging: first comparison with Technegas SPECT ventilation.
        Med Phys. 2017; 44: 4045-4055
        • Murphy K.
        • van Ginneken B.
        • Klein S.
        • Staring M.
        • de Hoop B.J.
        • Viergever M.A.
        • et al.
        Semi-automatic construction of reference standards for evaluation of image registration.
        Med Image Anal. 2011; 15: 71-84
        • O'Brien R.T.
        • Cooper B.J.
        • Keall P.J.
        Optimizing 4D cone beam computed tomography acquisition by varying the gantry velocity and projection time interval.
        Phys Med Biol. 2013; 58: 1705-1723
        • Miyakawa S.
        • Tachibana H.
        • Moriya S.
        • Kurosawa T.
        • Nishio T.
        • Sato M.
        Design and development of a nonrigid phantom for the quantitative evaluation of DIR-based mapping of simulated pulmonary ventilation.
        Med Phys. 2018;
        • Miyakawa S.
        • Tachibana H.
        • Moriya S.
        • Kurosawa T.
        • Nishio T.
        Evaluation of deformation parameters for deformable image registration-based ventilation imaging using an air-ventilating non-rigid phantom.
        Phys Med. 2018; 50: 20-25
        • Yamamoto T.
        • Kabus S.
        • Klinder T.
        • von Berg J.
        • Lorenz C.
        • Loo B.W.
        • et al.
        Four-dimensional computed tomography pulmonary ventilation images vary with deformable image registration algorithms and metrics.
        Med Phys. 2011; 38: 1348
        • Giaddui T.
        • Cui Y.
        • Galvin J.
        • Yu Y.
        • Xiao Y.
        Comparative dose evaluations between XVI and OBI cone beam CT systems using Gafchromic XRQA2 film and nanoDot optical stimulated luminescence dosimeters.
        Med Phys. 2013; 40062102
        • Yamamoto T.
        • Langner U.
        • Loo Jr., B.W.
        • Shen J.
        • Keall P.J.
        Retrospective analysis of artifacts in four-dimensional CT images of 50 abdominal and thoracic radiotherapy patients.
        Int J Radiat Oncol Biol Phys. 2008; 72: 1250-1258
        • Eslick E.M.
        • Kipritidis J.
        • Gradinscak D.
        • Stevens M.J.
        • Bailey D.L.
        • Harris B.
        • et al.
        CT ventilation imaging derived from breath hold CT exhibits good regional accuracy with Galligas PET.
        Radiother Oncol. 2018; 127: 267-273