|Table of Contents|

Image quality analysis of Varian' s new cone-beam iterative reconstruction algorithm

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2023 10
Page:
1899-1903
Research Field:
Publishing date:

Info

Title:
Image quality analysis of Varian' s new cone-beam iterative reconstruction algorithm
Author(s):
WEI Hui1; 2; LIANG Zhiwen2; GAO Jiaqi2; NIE Xin2; ZHANG Sheng2; ZHU Zhichao1
1.School of Nuclear Science and Technology,University of South China,Hunan Hengyang 421001,China;2.Cancer Center,Union Hospital,Tongji Medical College,Huazhong University of Science and Technology,Hubei Wuhan 430022,China.
Keywords:
cone-beam; iterative reconstruction algorithm; scatter correction; image quality
PACS:
R739.41
DOI:
10.3969/j.issn.1672-4992.2023.10.024
Abstract:
Objective:To quantitatively analyze the difference in image quality between cone-beam CT (CBCT) and the novel iterative cone-beam CT (ICBCT) of the head and neck.Methods:The high contrast resolution,low contrast resolution,uniformity,image noise,and signal-to-noise and contrast-to-noise ratios of the two images in standard head scan mode of Varian Halcyon gas pedal CBCT and ICBCT were objectively analyzed using the Catphan604 modulus.For clinical patient data,mean absolute error (MAE),root mean square error (RMSE),peak signal-to-noise ratio (PSNR),and structural similarity (SSIM) were calculated with paired reference CT images using CBCT and ICBCT of five head and neck patients,respectively.Results:No significant difference in high contrast resolution between the two images,both with MTF50 value of 0.41 lp/mm.The region of interest was not visible for both low contrast resolutions.ICBCT images had better uniformity (9.89 HU vs 9.21 HU),less image noise (7.29 HU vs 6.50 HU),higher signal-to-noise ratio (38.69 vs 53.01),and higher contrast-to-noise ratio (16.93 vs 25.98) compared to CBCT.For paired clinical patient images,ICBCT had smaller MAE and RMSE with mean values of (29.27±9.26) HU and (97.75±19.61) HU,respectively,and greater PSNR and SSIM with mean values of 32.61±1.72 and 0.93±0.02,respectively,compared with CBCT,and there were statistical differences in all four indexes (P＜0.05).Conclusion:The quality of ICBCT images of the head and neck is better than that of conventional CBCT images.

References:

[1]李俊禹，吴昊，杨敬贤，等.基于Varian锥形束CT影像质量的直线加速器选择策略［J］.中国医学物理学杂志，2019,36(12):1367-1372. LI JY,WU H,YANG JX,et al.LINAC selection strategy based on quality of Varian cone beam CT image［J］.Chinese Journal of Medical Physics,2019,36(12):1367-1372.
[2]ENDO M,TSUNOO T,NAKAMORI N,et al.Effect of scattered radiation on image noise in cone beam CT［J］.Medical Physics,2001,28(4):469-474.
[3]SHI L,TSUI T,WEI J,et al.Fast shading correction for cone beam CT in radiation therapy via sparse sampling on planning CT［J］.Medical Physics,2017,44(5):1796-1808.
[4]HARMS J,LEI Y,WANG T,et al.Paired cycle-GAN-based image correction for quantitative cone-beam computed tomography［J］.Medical Physics,2019,46(9):3998-4009.
[5]GARDNER SJ,MAO W,LIU C,et al.Improvements in CBCT image quality using a novel iterative reconstruction algorithm:a clinical evaluation［J］.Advances in Radiation Oncology,2019,4(2):390-400.
[6]MAO W,LIU C,GARDNER SJ,et al.Evaluation and clinical application of a commercially available iterative reconstruction algorithm for CBCT-based IGRT［J］.Technology in Cancer Research & Treatment,2019,18:1533033818823054.
[7]WANG A,MASLOWSKI A,MESSMER P,et al.Acuros CTS:A fast,linear Boltzmann transport equation solver for computed tomography scatter-Part II:System modeling,scatter correction,and optimization［J］.Medical Physics,2018,45(5):1914-1925.
[8]KIM D,RAMANI S,FESSLER JA.Combining ordered subsets and momentum for accelerated X-ray CT image reconstruction［J］.IEEE Transactions on Medical Imaging,2014,34(1):167-178.
[9]MILETO A,GUIMARAES LS,MCCOLLOUGH CH,et al.State of the art in abdominal CT:the limits of iterative reconstruction algorithms［J］.Radiology,2019,293(3):491-503.
[10]MASLOWSKI A,WANG A,SUN M,et al.Acuros CTS:A fast,linear Boltzmann transport equation solver for computed tomography scatter-Part I:Core algorithms and validation［J］.Medical Physics,2018,45(5):1899-1913.
[11]GREER PB,VAN DOORN T.Evaluation of an algorithm for the assessment of the MTF using an edge method［J］.Medical Physics,2000,27(9):2048-2059.
[12]黄宇亮，李晨光，毛凯，等.引导螺旋断层放疗用兆伏CT图像质量定量分析［J］.北京大学学报(医学版)，2019,51(03):525-529. HUANG YL,LI CG,MAO K,et al.Quantitative evaluation of image quality of megavoltage computed tomography forguiding helical tomotherapy［J］.Journal of Peking University(Health Sciences),2019,51(03):525-529.
[13]庄永东，王彬，朱金汉，等.医用直线加速器机载影像系统QC图像定量评估方法研究［J］.中华放射肿瘤学杂志，2017,26(4):442-447. ZHUANG YD,WANG B,ZHU JH,et al.A quantitative evaluation of quality control image for on-board imaging system of medical linearaccelerator［J］.Chin J Radiat Oncol,2017,26(4):442-447.
[14]CHEN L,LIANG X,SHEN C,et al.Synthetic CT generation from CBCT images via deep learning［J］.Medical Physics,2020,47(3):1115-1125.
[15]张坤，吴炎炎，熊兵，等.机载CBCT扫描协议对图像质量的影响分析［J］.现代肿瘤医学，2022,30(09):1660-1663. ZHANG K,WU YY,XIONG B,et al.Analysis of the influence of airborne CBCT scanning protocol on image quality［J］.Modern Oncology,2022,30(09):1660-1663.
[16]CAI B,LAUGEMAN E,MAZUR TR,et al.Characterization of a prototype rapid kilovoltage x-ray image guidance system designed for a ring shape radiation therapy unit［J］.Medical Physics,2019,46(3):1355-1370.
[17]MORIN O,CHEN J,AUBIN M,et al.Dose calculation using megavoltage cone-beam CT［J］.International Journal of Radiation Oncology,Biology,Physics,2007,67(4):1201-1210.
[18]WASHIO H,OHIRA S,FUNAMA Y,et al.Accuracy of dose calculation on iterative CBCT for head and neck radiotherapy［J］.Physica Medica,2021,86:106-112.
[19]SUN T,SUN N,WANG J,et al.Iterative CBCT reconstruction using Hessian penalty［J］.Physics in Medicine & Biology,2015,60(5):1965.

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