X‐ray scatter correction for multi‐source interior computed tomography

Purpose: The schemes of multi‐source interior computed tomography (CT) have shown promise for ultra‐fast, organ‐oriented, and low‐dose dynamic imaging. Besides forward scattering, x‐ray cross scattering from multiple x‐ray sources activated simultaneously can further degrade image quality. Here, we investigate the overall x‐ray scattering artifact in a recently proposed multi‐source interior CT architecture, and present two methods for scatter correction. Methods: Compared to single‐source global CT, scattering in multi‐source interior CT architecture is affected by two new factors: cross scattering from simultaneously activated multiple x‐ray sources and region‐of‐interest (ROI) oriented interior CT mode. The scatter artifact in the multi‐source interior CT architecture was evaluated through both numerical simulation and physical experimentation, and compared to that from conventional single‐source global CT. Monte Carlo simulation was conducted with a modified numerical CATphan® 600 phantom. Physical experiments were performed in an in‐house developed CT imaging platform with a custom‐built phantom. The simulation and experiments were carried out on the single‐source CT architecture and the multi‐source CT architecture, respectively in the global CT mode and the interior CT mode for comparison. To correct the scattering artifact, two new methods were presented. The first is a beam‐stopper‐array (BSA)‐based method, which enables an online correction of forward scattering and cross scattering simultaneously. The second is a source‐trigger‐sequence (STS)‐based method dedicated to cross‐scatter correction. It enables on‐the‐fly measurements of the cross scattering signals at a few pre‐selected views. The CT image quality was quantitatively evaluated in terms of contrast‐to‐noise ratio (CNR) and CT number deviation before and after the scatter correction. Results: X‐ray cross scattering degraded image quality in both the simulation and experiments. Before the scatter correction, the multi‐source interior CT mode yielded a reduction of CNR at the ROIs by up to 68.5% and 50.7% in the simulation and experiments, respectively. The stationary BSA‐based method significantly improved CNR and CT number accuracy in the images from multi‐source interior CT mode, by reducing the negative effects from both forward scattering and cross scattering. The STS‐based method enabled multi‐source interior CT mode to provide comparable image quality to that with the single‐source interior CT mode, by correcting the artifact from cross scattering. The remaining forward scattering artifact can be corrected with the fast adaptive scatter kernel superposition (FASKS) technique. With the proposed scatter correction methods, the CT number error at the ROIs was reduced to less than 37 HU in both simulation and experiments, respectively. Conclusions: Cross scattering, in addition to forward scattering, can cause significant image quality degradation in the multi‐source interior CT architecture. However, image quality can be significantly improved with the proposed scatter correction methods.

[1]  F Verhaegen,et al.  Spatial frequency spectrum of the x-ray scatter distribution in CBCT projections. , 2013, Medical physics.

[2]  Ning Wen,et al.  Combining scatter reduction and correction to improve image quality in cone-beam computed tomography (CBCT). , 2010, Medical physics.

[3]  W. Kalender X-ray computed tomography , 2006, Physics in medicine and biology.

[4]  J. H. Kinsey,et al.  Three-dimensional imaging of heart, lungs, and circulation. , 1980, Science.

[5]  Hengyong Yu,et al.  Compressed sensing based interior tomography , 2009, Physics in medicine and biology.

[6]  James R. Bergen,et al.  Pyramid-based texture analysis/synthesis , 1995, Proceedings., International Conference on Image Processing.

[7]  J. Star-Lack,et al.  Improved scatter correction using adaptive scatter kernel superposition , 2010, Physics in medicine and biology.

[8]  Ruola Ning,et al.  X-ray scatter correction algorithm for cone beam CT imaging. , 2004, Medical physics.

[9]  F Sprenger,et al.  Stationary digital breast tomosynthesis with distributed field emission x-ray tube , 2011, Medical Imaging.

[10]  Willi A Kalender,et al.  CT: the unexpected evolution of an imaging modality , 2005, European radiology.

[11]  Bernhard Schmidt,et al.  Computed tomographic assessment of coronary artery disease: state-of-the-art imaging techniques. , 2015, Radiologic clinics of North America.

[12]  G. Hounsfield Computerized transverse axial scanning (tomography): Part I. Description of system. 1973. , 1973, The British journal of radiology.

[13]  G. Hounsfield Computerized transverse axial scanning (tomography). 1. Description of system. , 1973, The British journal of radiology.

[14]  Yiheng Zhang,et al.  High resolution stationary digital breast tomosynthesis using distributed carbon nanotube x-ray source array. , 2012, Medical physics.

[15]  Michael M Maher,et al.  Development of low-dose protocols for thin-section CT assessment of cystic fibrosis in pediatric patients. , 2010, Radiology.

[16]  Bruno De Man,et al.  High power distributed x-ray source , 2010, Medical Imaging.

[17]  Masaki Katsura,et al.  Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique , 2012, European Radiology.

[18]  Guillermo Sapiro,et al.  Image inpainting , 2000, SIGGRAPH.

[19]  Jun Zhao,et al.  A Filtered Backprojection Algorithm for Triple-Source Helical Cone-Beam CT , 2009, IEEE Transactions on Medical Imaging.

[20]  K. Klingenbeck,et al.  A general framework and review of scatter correction methods in cone beam CT. Part 2: scatter estimation approaches. , 2011, Medical physics.

[21]  Zhonghua Sun,et al.  Coronary CT angiography: current status and continuing challenges. , 2012, The British journal of radiology.

[22]  Y. Liu,et al.  Half-scan cone-beam CT fluoroscopy with multiple x-ray sources. , 2001, Medical physics.

[23]  Hao Yan,et al.  A GPU tool for efficient, accurate, and realistic simulation of cone beam CT projections. , 2012, Medical physics.

[24]  Guohua Cao,et al.  A Stationary-Sources and Rotating-Detectors Computed Tomography Architecture for Higher Temporal Resolution and Lower Radiation Dose , 2014, IEEE Access.

[25]  Hengyong Yu,et al.  Demonstration of Dose and Scatter Reductions for Interior Computed Tomography , 2009, Journal of computer assisted tomography.

[26]  T. Flohr,et al.  Dual Source CT , 2011 .

[27]  K. Stierstorfer,et al.  First performance evaluation of a dual-source CT (DSCT) system , 2006, European Radiology.

[28]  Lei Zhu,et al.  Scatter correction for full-fan volumetric CT using a stationary beam blocker in a single full scan. , 2011, Medical physics.

[29]  Willi A Kalender,et al.  Intensity distribution and impact of scatter for dual-source CT , 2007, Physics in medicine and biology.

[30]  Lei Xing,et al.  Scatter correction in cone-beam CT via a half beam blocker technique allowing simultaneous acquisition of scatter and image information. , 2012, Medical physics.

[31]  Fang-Fang Yin,et al.  Feasibility study of a synchronized-moving-grid (SMOG) system to improve image quality in cone-beam computed tomography (CBCT). , 2012, Medical physics.

[32]  Hong Zhang,et al.  An Inter-Projection Interpolation (IPI) Approach with Geometric Model Restriction to Reduce Image Dose in Cone Beam CT (CBCT) , 2014, CompIMAGE.

[33]  Lei Zhu,et al.  Noise suppression in scatter correction for cone-beam CT. , 2009, Medical physics.

[34]  D. Jaffray,et al.  Cone-beam computed tomography with a flat-panel imager: magnitude and effects of x-ray scatter. , 2001, Medical physics.

[35]  Jun Zhao,et al.  Exact image reconstruction with triple-source saddle-curve cone-beam scanning. , 2009, Physics in medicine and biology.

[36]  F. Yin,et al.  Scatter Reduction and Correction for Dual-Source Cone-Beam CT Using Prepatient Grids , 2016, Technology in cancer research & treatment.

[37]  J. H. Hubbell,et al.  Atomic form factors, incoherent scattering functions, and photon scattering cross sections , 1975 .

[38]  Mahadevappa Mahesh,et al.  Physics of cardiac imaging with multiple-row detector CT. , 2007, Radiographics : a review publication of the Radiological Society of North America, Inc.

[39]  Klaus Klingenbeck,et al.  A general framework and review of scatter correction methods in x-ray cone-beam computerized tomography. Part 1: Scatter compensation approaches. , 2011, Medical physics.

[40]  K Stierstorfer,et al.  Strategies for scatter correction in dual source CT. , 2010, Medical physics.

[41]  C. Herrmann,et al.  X-ray scattering in single- and dual-source CT. , 2007, Medical physics.

[42]  P. Schardt,et al.  New x-ray tube performance in computed tomography by introducing the rotating envelope tube technology. , 2004, Medical physics.

[43]  Ge Wang The meaning of interior tomography , 2013, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[44]  Otto Zhou,et al.  Multiplexing radiography using a carbon nanotube based x-ray source , 2006 .

[45]  Rui Liu,et al.  Interior tomographic imaging of mouse heart in a carbon nanotube micro-CT. , 2016, Journal of X-ray science and technology.

[46]  Hengyong Yu,et al.  A scheme for multisource interior tomography. , 2009, Medical physics.