Methods for Reducing Metal Artifacts in Computerized Tomography
Main Article Content
Abstract
Metal artifacts are common in clinical images. Many methods for artifact reduction have been published to overcome this problem. In this work, animage smoothing method for artifact reduction (ISMAR) is proposed for image quality improvement in patients with hip prosthesis and dental fillings, which caused metal artifacts. ISMAR was evaluated and compared with three well-known methods for metal artifact reduction (linear interpolation (LI), normalized metal artifact reduction (NMAR) and frequency split metal artifact reduction (FSMAR)). The new method is based on edge-preserving smoothing via L0 Gradient Minimization filter. Image quality was evaluated by two experienced radiologists completely blinded to the information about if the image was processed or not to suppress the artifacts. They graded image quality in a five points-scale, where zero is an index of clear artifact presence, and five, a whole artifact suppression. The new method had the best results and it was statistically significant respect to the other tested methods (p < 0.05). This new method has a better performance in artifact suppression and tissue feature preservation.
Article Details
How to Cite
Rodríguez-Gallo, Y., Orozco-Morales, R., & Pérez-Díaz, M. (2019). Methods for Reducing Metal Artifacts in Computerized Tomography. Nucleus, (65), 11-15. Retrieved from http://nucleus.cubaenergia.cu/index.php/nucleus/article/view/671
Section
Ciencias Nucleares
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References
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[14] XU L, LU C, XU Y, JIA J. Image smoothing via L0 gradient minimization. Proceedings of the 2011 SIGGRAPH Asia Conference on - SA ’11, vol. 30, no. 6, p. 1, 2011.
[2] WELLENBERG RHH, et. al. Quantifying metal artefact reduction using virtual monochromatic dual-layer detector spectral CT imaging in unilateral and bilateral total hip prostheses. Eur J Radiology. 2017; 88: 61-70.
[3] GIANTSOUDI D, et. al. Metal artifacts in computed tomography for radiation therapy planning: dosimetric effects and impact of metal artifact reduction. Phys Med Biol. 2017; 62(8): R49-R80.
[4] GJESTEBY L, et. al. Metal artifact reduction in CT: where are we after four decades?. IEEE Access. 2016; 4: 5826-5849.
[5] MOUTON A, MEGHERBI N, VAN SLAMBROUCK K, et. al. An experimental survey of metal artefact reduction in computed tomography. J Xray Sci Technol. 2013; 21(2): 193-226.
[6] ZHANG H, WANG L, LI L, et. al. Iterative metal artifact reduction for x-ray computed tomography using unmatched projector/backprojector pairs. Medical Physics. 2016; 43(6): 3019-3033.
[7] MEYER E, RAUPACH R, LELL M, et. al. Frequency split metal artifact reduction (FSMAR) in computed tomography. Medical physics. 2012; 39(4): 1904-1916.
[8] MEYER E, RAUPACH R, LELL M, et. al. Normalized metal artifact reduction (NMAR) in computed tomography. Med. Phys. 2010; 37(10): 5482-5493.
[9] GLOVER GH, PELC NJ. An algorithm for the reduction of metal clip artifacts in CT reconstructions. Medical physics. 1981; 8(6): 799-807.
[10] GOLDEN C, et. al. A comparison of four algorithms for metal artifact reduction in CT imaging. 2011; 7961: 79612Y-79612Y-12.
[11] XU L, LU C, XU Y, JIA J. Image Smoothing via L0 Gradient Minimization. ACM Trans. Graph. 2011; 30(6): 174:1-174:12.
[12] KALENDER WA, HEBEL R, EBERSBERGER J. Reduction of CT artifacts caused by metallic implants. Radiology. 1987; 164(2): 576-577.
[13] ZHANG Y, YAN H, JIA X, et. al. A hybrid metal artifact reduction algorithm for x-ray CT. Med. Phys. 2013; 40: 4.
[14] XU L, LU C, XU Y, JIA J. Image smoothing via L0 gradient minimization. Proceedings of the 2011 SIGGRAPH Asia Conference on - SA ’11, vol. 30, no. 6, p. 1, 2011.