Theoretical Investigation of Metal Artifact Reduction Based on Sinogram Normalization in Computed Tomography |
Jeon, Hosang
(Department of Radiation Oncology, Pusan National University Yangsan Hospital)
Youn, Hanbean (School of Mechanical Engineering, Pusan National University) Nam, Jiho (Department of Radiation Oncology, Pusan National University Yangsan Hospital) Kim, Ho Kyung (School of Mechanical Engineering, Pusan National University) |
1 | Wang G, Snyder DL, O'Sullivan JA, et al: Iterative deblurring for CT metal artifact reduction. IEEE Trans Med Imaging 15(5):657-664 (1996) DOI ScienceOn |
2 | De Man B, Nuyts J, Dupont P, et al: An iterative maximum-likelihood polychromatic algorithm for CT. IEEE Trans Med Imaging 20(10):999-1008 (2001) DOI ScienceOn |
3 | KachelrieB M, Watzke O, Kalender WA: Generalized multi-dimensional adaptive filtering for conventional and spiral single-slice, multi-slice, and cone-beam CT. Med Phys 28(4):475-490 (2001) DOI ScienceOn |
4 | Nuyts J, De Man B, Fessler JA, et al: Modelling the physics in the iterative reconstruction for transmission computed tomography. Phys Med Biol 58(12):R63-R96 (2013) DOI ScienceOn |
5 | Park JC, Song B, Kim JS, et al: Fast compressed sensing-based CBCT reconstruction using Barzilai-Borwein formulation for application to on-line IGRT. Med Phys 39:1207-1217 (2012) DOI ScienceOn |
6 | Choi J, Kim KS, Kim MW, et al: Sparsity driven metal part reconstruction for artifact removal in dental CT. J X-ray Sci Tech 19(4):457-475 (2011) |
7 | Muller J, Buzug TM: Spurious structures created by interpolation-based CT metal artifact reduction. Proc SPIE 7258:72581Y(8pp) (2009) |
8 | Muller J, Buzug TM: Intersection Line Length Normalization in CT Projection Data. Bildverarbeitung fur die Medizin, Berlin (2008) pp. 77-81 |
9 | Meyer E, Raupach R, Lell M, Schmidt B, KachelrieB M: Normalized metal artifact reduction (NMAR) in computed tomography. Med Phys 37(10):5482-5493 (2010) DOI ScienceOn |
10 | Jain AK: Fundamentals of Digital Image Processing. Prentice-Hall Inc, Englewood Cliffs, NJ (1989), pp. 438-439 |
11 | Otsu N: A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62-66 (1979) DOI ScienceOn |
12 | Sezgin M, Sankur B: Survey over image thresholding techniques and quantitative performance evaluation. J Electron Imaging 13(1):146-165 (2004) DOI ScienceOn |
13 | Parker RP, Hobday PA, Cassell KJ: The direct use of CT numbers in radiotherapy dosage calculations for inhomogeneous media. Phys Med Biol 24(4):802-809 (1979) DOI ScienceOn |
14 | Guerrero ME, Jacobs R, Loubele M, et al: State-ofthe-art on cone beam CT imaging for preoperative planning of implant placement. Clin Oral Invest 10(1):1-7 (2006) DOI ScienceOn |
15 | Cho MK, Kim HK, Youn H, Kim SS: A feasibility study of digital tomosynthesis for volumetric dental imaging. J Instrum 7(3):P03007 (2012) |
16 | Glover GH, Pelc NJ: An algorithm for the reduction of metal clip artifacts in CT reconstructions. Med Phys 8(6):799-807 (1981) DOI ScienceOn |
17 | Kalender WA, Hebel R, Ebersberger J: Reduction of CT artifacts caused by metallic implants. Radiology 164(2):576-577 (1987) DOI |