Metal artifact reduction for dental implants in kilovoltage computed tomography using megavoltage cone-beam computer tomography_Journal of Biomedical Engineering

Authors：

GAO Liugang , SUN Hongfei , LIN Tao , SUI Jianfeng ,  NI Xinye

Department of Radiation Oncology, Second People’s Hospital of Changzhou, Nanjing Medical University, Changzhou, Jiangsu 213003, P.R.China;

Corresponding author：

NI Xinye, Email: nxy2000@aliyun.com

Keywords：

computed tomography; metal artifact; megavoltage cone-beam computer tomography; kilovoltage computed tomography; fusion; prior image

DOI：

10.7507/1001-5515.201609071

Video：

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Abstract Full text Figures/Tables Video References Cited by

This paper proposes a novel metal artifact reduction (MAR) algorithm for dental implants in kilovoltage computed tomography (kVCT) using megavoltage cone-beam computer tomography (MVCBCT). Firstly, two CT images were derived by scanning patient with dental implants using kVCT and MVCBCT. Metal image was derived by thresholding segmentation in kVCT. MVCBCT and kVCT images were fused to generate prior image which was forward projected to get surrogate sinogram of metal trace. The corrected image was generated by filtered backprojection (FBP) reconstruction in corrected sinogram. The results of proposed algorithm were compared with other frequently-used metal artifact reduction algorithm, such as normalized MAR (NMAR), normalized MAR using MVCBCT prior images (NMAR-MV), and linear interpolation MAR (LIMAR). The normalized root mean square deviation (NRMSD) and mean absolute deviation (MAD) were computed. The experiment showed that the proposed method removed serious metal artifacts without introducing new artifacts. The values of NRMSD and MAD for proposed method were the minimum in all methods. The values of NRMSD for NMAR, NMAR-MV, LIMAR and the proposed method were 21.0%, 22.1%, 41.9% and 17.0% respectively. And MAD values of them were 232, 235, 553, 205 HU, respectively. In conclusion, the proposed metal artifact reduction algorithm can successfully suppress metal artifacts for dental implants, and greatly improve the quality of CT image.

Citation： GAO Liugang, SUN Hongfei, LIN Tao, SUI Jianfeng, NI Xinye. Metal artifact reduction for dental implants in kilovoltage computed tomography using megavoltage cone-beam computer tomography. Journal of Biomedical Engineering, 2017, 34(5): 730-737. doi: 10.7507/1001-5515.201609071 Copy

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5.	Lin Muhan, Li Jinsheng, Price R A, et al. The dosimetric impact of dental implants on head-and-neck volumetric modulated arc therapy. Phys Med Biol, 2013, 58(4): 1027-1040.
6.	Kidoh M, Utsunomiya D, Ikeda O, et al. Reduction of metallic coil artefacts in computed tomography body imaging: effects of a new single-energy metal artefact reduction algorithm. Eur Radiol, 2016, 26(5): 1378-1386.
7.	Verburg J M, Seco J. CT metal artifact reduction method correcting for beam hardening and missing projections. Phys Med Biol, 2012, 57(9): 2803-2818.
8.	Heußer T, Brehm M, Ritschl L, et al. Prior-based artifact correction (PBAC) in computed tomography. Med Phys, 2014, 41(2): 021906.
9.	Joemai R M, de Bruin P W, Veldkamp W J, et al. Metal artifact reduction for CT: development, implementation, and clinical comparison of a generic and a scanner-specific technique. Med Phys, 2012, 39(2): 1125-1132.
10.	Zhang Xiaomeng, Xing Lei. Sequentially reweighted TV minimization for CT metal artifact reduction. Med Phys, 2013, 40(7): 071907.
11.	Meyer E, Raupach R, Lell M, et al. Frequency split metal artifact reduction (FSMAR) in computed tomography. Med Phys, 2012, 39(4): 1904-1916.
12.	Paudel M R, Mackenzie M, Fallone B G, et al. Clinical evaluation of normalized metal artifact reduction in kVCT using MVCT prior images (MVCT-NMAR) for radiation therapy treatment planning. Int J Radiat Oncol Biol Phys, 2014, 89(3): 682-689.
13.	Paudel M R, Mackenzie M, Fallone B G, et al. Evaluation of metal artifacts in MVCT systems using a model based correction method. Med Phys, 2012, 39(10): 6297-6308.
14.	Li Hao, Liu Bo, Yin Fangfang. Generation of virtual monochromatic CBCT from dual kV/MV beam projections. Med Phys, 2013, 40(12): 121910.
15.	Paudel M R, Mackenzie M, Fallone B G, et al. Evaluation of normalized metal artifact reduction (NMAR) in kVCT using MVCT prior images for radiotherapy treatment planning. Med Phys, 2013, 40(8): 081701.
16.	Wu Meng, Keil A, Constantin D, et al. Metal artifact correction for X-ray computed tomography using kV and selective MV imaging. Med Phys, 2014, 41(12): 121910.
17.	Wang Jun, Wang Shijie, Chen Yang, et al. Metal artifact reduction in CT using fusion based prior image. Med Phys, 2013, 40(8): 081903.
18.	Meyer E, Raupach R, Lell M, et al. Normalized metal artifact reduction (NMAR) in computed tomography. Med Phys, 2010, 37(10): 5482-5493.
19.	Abdoli M, Mehranian A, Ailianou A, et al. Assessment of metal artifact reduction methods in pelvic CT. Med Phys, 2016, 43(4): 1588.

1. Spadea M F, Verburg J, Baroni G, et al. Dosimetric assessment of a novel metal artifact reduction method in CT images. J Appl Clin Med Phys, 2013, 14(1): 4027.
2. Andersson K M, Ahnesjö A, Vallhagen Dahlgren C. Evaluation of a metal artifact reduction algorithm in CT studies used for proton radiotherapy treatment planning. J Appl Clin Med Phys, 2014, 15(5): 4857.
3. Maerz M, Koelbl O, Dobler B. Influence of metallic dental implants and metal artefacts on dose calculation accuracy. Strahlenther Onkol, 2015, 191(3): 234-241.
4. Maerz M, Mittermair P, Krauss A, et al. Iterative metal artifact reduction improves dose calculation accuracy: Phantom study with dental implants. Strahlenther Onkol, 2016, 192(6): 403-413.
5. Lin Muhan, Li Jinsheng, Price R A, et al. The dosimetric impact of dental implants on head-and-neck volumetric modulated arc therapy. Phys Med Biol, 2013, 58(4): 1027-1040.
6. Kidoh M, Utsunomiya D, Ikeda O, et al. Reduction of metallic coil artefacts in computed tomography body imaging: effects of a new single-energy metal artefact reduction algorithm. Eur Radiol, 2016, 26(5): 1378-1386.
7. Verburg J M, Seco J. CT metal artifact reduction method correcting for beam hardening and missing projections. Phys Med Biol, 2012, 57(9): 2803-2818.
8. Heußer T, Brehm M, Ritschl L, et al. Prior-based artifact correction (PBAC) in computed tomography. Med Phys, 2014, 41(2): 021906.
9. Joemai R M, de Bruin P W, Veldkamp W J, et al. Metal artifact reduction for CT: development, implementation, and clinical comparison of a generic and a scanner-specific technique. Med Phys, 2012, 39(2): 1125-1132.
10. Zhang Xiaomeng, Xing Lei. Sequentially reweighted TV minimization for CT metal artifact reduction. Med Phys, 2013, 40(7): 071907.
11. Meyer E, Raupach R, Lell M, et al. Frequency split metal artifact reduction (FSMAR) in computed tomography. Med Phys, 2012, 39(4): 1904-1916.
12. Paudel M R, Mackenzie M, Fallone B G, et al. Clinical evaluation of normalized metal artifact reduction in kVCT using MVCT prior images (MVCT-NMAR) for radiation therapy treatment planning. Int J Radiat Oncol Biol Phys, 2014, 89(3): 682-689.
13. Paudel M R, Mackenzie M, Fallone B G, et al. Evaluation of metal artifacts in MVCT systems using a model based correction method. Med Phys, 2012, 39(10): 6297-6308.
14. Li Hao, Liu Bo, Yin Fangfang. Generation of virtual monochromatic CBCT from dual kV/MV beam projections. Med Phys, 2013, 40(12): 121910.
15. Paudel M R, Mackenzie M, Fallone B G, et al. Evaluation of normalized metal artifact reduction (NMAR) in kVCT using MVCT prior images for radiotherapy treatment planning. Med Phys, 2013, 40(8): 081701.
16. Wu Meng, Keil A, Constantin D, et al. Metal artifact correction for X-ray computed tomography using kV and selective MV imaging. Med Phys, 2014, 41(12): 121910.
17. Wang Jun, Wang Shijie, Chen Yang, et al. Metal artifact reduction in CT using fusion based prior image. Med Phys, 2013, 40(8): 081903.
18. Meyer E, Raupach R, Lell M, et al. Normalized metal artifact reduction (NMAR) in computed tomography. Med Phys, 2010, 37(10): 5482-5493.
19. Abdoli M, Mehranian A, Ailianou A, et al. Assessment of metal artifact reduction methods in pelvic CT. Med Phys, 2016, 43(4): 1588.

Journal of Biomedical Engineering

Metal artifact reduction for dental implants in kilovoltage computed tomography using megavoltage cone-beam computer tomography

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