4.6 Article

An iterative reconstruction method based on monochromatic images for dual energy CT

Journal

MEDICAL PHYSICS
Volume 48, Issue 10, Pages 6437-6452

Publisher

WILEY
DOI: 10.1002/mp.15200

Keywords

dual-energy CT; iterative reconstruction method; monochromatic images

Funding

  1. National Natural Science Foundation of China [61827809, 61771324, 61971293, 61971292, 61671311]
  2. National Key Research and Development Program of China [2020YFA0712200]

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An iterative reconstruction method based on monochromatic images was proposed for DECT to rapidly obtain high-quality and quickly converging images. By converting the DECT reconstruction problem to monochromatic image decomposition, the proposed method significantly improved the convergence speed of DECT reconstruction.
Purpose: Dual-energy computed tomography (DECT) scans objects using two different X-ray spectra to acquire more information, which is also called dual spectral CT (DSCT) in some articles. Compared to traditional CT, DECT exhibits superior material distinguishability. Therefore, DECT can be widely used in the medical and industrial domains. However, owing to the nonlinearity and ill condition of DECT, studies are underway on DECT reconstruction to obtain high quality images and achieve fast convergence speed. Therefore, in this study, we propose an iterative reconstruction method based on monochromatic images (IRM-MI) to rapidly obtain high-quality images in DECT reconstruction. Methods: An IRM-MI is proposed for DECT. The proposed method converts DECT reconstruction problem from the basis material images decomposition to monochromatic images decomposition to significantly improve the convergence speed of DECT reconstruction by changing the coefficient matrix of the original equations to increase the angle of the high- and low-energy projection curves or reduce the condition number of the coefficient matrix. The monochromatic images were then decomposed into basis material images. Furthermore, we conducted numerical experiments to evaluate the performance of the proposed method. Results: The decomposition results of the simulated data and real data experiments confirmed the effectiveness of the proposed method. Compared to the extended algebraic reconstruction technique (E-ART) method, the proposed method exhibited a significant increase in the convergence speed by increasing the angle of polychromatic projection curves or decreasing the condition number of the coefficient matrix, when choosing the appropriate monochromatic images. Therefore, the proposed method is also advantageous in acquiring high quality and rapidly converged images. Conclusions: We developed an iterative reconstruction method based on monochromatic images for the material decomposition for DECT. The numerical experiments using the proposed method validated its capability of decomposing the basis material images. Furthermore, the proposed method achieved faster convergence speed compared to the E-ART method.

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