An experimental study on the noise correlation properties of CBCT projection data

In this study, we systematically investigated the noise correlation properties among detector bins of CBCT projection data by analyzing repeated projection measurements. The measurements were performed on a TrueBeam on-board CBCT imaging system with a 4030CB flat panel detector. An anthropomorphic male pelvis phantom was used to acquire 500 repeated projection data at six different dose levels from 0.1 mAs to 1.6 mAs per projection at three fixed angles. To minimize the influence of the lag effect, lag correction was performed on the consecutively acquired projection data. The noise correlation coefficient between detector bin pairs was calculated from the corrected projection data. The noise correlation among CBCT projection data was then incorporated into the covariance matrix of the penalized weighted least-squares (PWLS) criterion for noise reduction of low-dose CBCT. The analyses of the repeated measurements show that noise correlation coefficients are non-zero between the nearest neighboring bins of CBCT projection data. The average noise correlation coefficients for the first- and second- order neighbors are 0.20 and 0.06, respectively. The noise correlation coefficients are independent of the dose level. Reconstruction of the pelvis phantom shows that the PWLS criterion with consideration of noise correlation results in a lower noise level as compared to the PWLS criterion without considering the noise correlation at the matched resolution.

[1]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[2]  Jeffrey A. Fessler Penalized weighted least-squares image reconstruction for positron emission tomography , 1994, IEEE Trans. Medical Imaging.

[3]  Jiang Hsieh,et al.  Recursive correction algorithm for detector decay characteristics in CT , 2000, Medical Imaging.

[4]  Jiang Hsieh,et al.  Computed Tomography: Principles, Design, Artifacts, and Recent Advances, Fourth Edition , 2022 .

[5]  J. O’Sullivan,et al.  Properties of preprocessed sinogram data in x-ray computed tomography. , 2006, Medical physics.

[6]  L. Xing,et al.  Overview of image-guided radiation therapy. , 2006, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[7]  Jing Wang,et al.  Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography , 2006, IEEE Transactions on Medical Imaging.

[8]  B. Movsas,et al.  Dose delivered from Varian's CBCT to patients receiving IMRT for prostate cancer , 2007, Physics in medicine and biology.

[9]  Jean-Baptiste Thibault,et al.  A three-dimensional statistical approach to improved image quality for multislice helical CT. , 2007, Medical physics.

[10]  Zhengrong Liang,et al.  An experimental study on the noise properties of x-ray CT sinogram data in Radon space , 2008, Physics in medicine and biology.

[11]  Zhengrong Liang,et al.  Dose reduction for kilovotage cone-beam computed tomography in radiation therapy. , 2008, Physics in medicine and biology.

[12]  L. Xing,et al.  Iterative image reconstruction for CBCT using edge-preserving prior. , 2008, Medical physics.

[13]  Jie Tang,et al.  Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms , 2009, Physics in medicine and biology.

[14]  Kai Yang,et al.  Noise variance analysis using a flat panel x-ray detector: a method for additive noise assessment with application to breast CT applications. , 2010, Medical physics.

[15]  Rebecca Fahrig,et al.  Investigation into the optimal linear time-invariant lag correction for radar artifact removal. , 2011, Medical physics.

[16]  Kai Yang,et al.  A semiempirical linear model of indirect, flat-panel x-ray detectors. , 2012, Medical physics.

[17]  Zhengrong Liang,et al.  Variance analysis of x-ray CT sinograms in the presence of electronic noise background. , 2012, Medical physics.

[18]  P Zygmanski,et al.  Evaluation of robustness of maximum likelihood cone-beam CT reconstruction with total variation regularization , 2012, Physics in medicine and biology.