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Recent Advances in Electrical & Electronic Engineering

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ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

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Research Article

Rigid Motion Artifact Reduction in CT Using the Phase Correlation Method

Author(s): Yuan Zhang*, Liyi Zhang and Yunshan Sun

Volume 13, Issue 8, 2020

Page: [1119 - 1128] Pages: 10

DOI: 10.2174/2352096513999200606224154

Price: $65

Abstract

Background: In Computed Tomography (CT), it is often not possible for the subject to remain stationary during a scan. Unfortunately, a patient motion would result in degraded spatial resolution and image artifacts. It is desirable to improve reconstruction quality and reduce motion artifacts caused by patient motion.

Methods: In this work, a method was proposed to eliminate the influence of the motion on image quality, based on the phase correlation method. Based on our previous work, projections were first taken by Radon transform and motion parameters were estimated by the phase-only correlation of projections in the Radon domain. In addition, an improved image reconstruction algorithm was performed to compensate for the motion effects.

Results: Experimental results proved that the proposed method could not only obtain high precision and good real-time performance but also ensure a superior artifact reduction.

Conclusion: Besides, the efficacy of the proposed method has been demonstrated in both simulated and human head experiments.

Keywords: CT, fan-beam, motion artifacts, motion estimation, motion compensation, phase correlation method.

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[1]
D. Brenner, C. Elliston, E. Hall, and W. Berdon, "Estimated risks of radiation-induced fatal cancer from pediatric CT", AJR Am. J. Roentgenol., vol. 176, no. 2, pp. 289-296, 2001.
[http://dx.doi.org/10.2214/ajr.176.2.1760289] [PMID: 11159059]
[2]
S. Dai, K. Lu, J. Dong, Y. Zhang, and Y. Chen, "A novel approach of lung segmentation on chest CT images using graph cuts", Neurocomputing, vol. 168, pp. 799-807, 2015.
[http://dx.doi.org/10.1016/j.neucom.2015.05.044]
[3]
Y. Chen, L. Shi, Q. Feng, J. Yang, H. Shu, L. Luo, J.L. Coatrieux, and W. Chen, "Artifact suppressed dictionary learning for low-dose CT image processing", IEEE Trans. Med. Imaging, vol. 33, no. 12, pp. 2271-2292, 2014.
[http://dx.doi.org/10.1109/TMI.2014.2336860] [PMID: 25029378]
[4]
F. Cabrera, G.M. Preminger, and M.E. Lipkin, "As low as reasonably achievable: Methods for reducing radiation exposure during the management of renal and ureteral stones", Indian J. Urol., vol. 30, no. 1, pp. 55-59, 2014.
[http://dx.doi.org/10.4103/0970-1591.124208] [PMID: 24497684]
[5]
N. Alsbou, S. Ahmad, and I. Ali, "A motion algorithm to extract physical and motion parameters of mobile targets from cone-beam computed tomographic images", J. XRay Sci. Technol., vol. 24, no. 4, pp. 599-613, 2016.
[http://dx.doi.org/10.3233/XST-160577] [PMID: 27198924]
[6]
A. Wagner, K. Schicho, F. Kainberger, W. Birkfellner, S. Grampp, and R. Ewers, "Quantification and clinical relevance of head motion during computed tomography", Invest. Radiol., vol. 38, no. 11, pp. 733-741, 2003.
[http://dx.doi.org/10.1097/01.rli.0000084889.92250.b0] [PMID: 14566184]
[7]
B. Barbés, J.D. Azcona, E. Prieto, J.M. de Foronda, M. García, and J. Burguete, "Development and clinical evaluation of a simple optical method to detect and measure patient external motion", J. Appl. Clin. Med. Phys., vol. 16, no. 5, pp. 306-321, 2015.
[http://dx.doi.org/10.1120/jacmp.v16i5.5524] [PMID: 26699313]
[8]
M. Brehm, S. Sawall, J. Maier, S. Sauppe, and M. Kachelrieß, "Cardiorespiratory motion-compensated micro-CT image reconstruction using an artifact model-based motion estimation", Med. Phys., vol. 42, no. 4, pp. 1948-1958, 2015.
[http://dx.doi.org/10.1118/1.4916083] [PMID: 25832085]
[9]
Y. Chen, X. Yin, L. Shi, H. Shu, L. Luo, J.L. Coatrieux, and C. Toumoulin, "Improving abdomen tumor low-dose CT images using a fast dictionary learning based processing", Phys. Med. Biol., vol. 58, no. 16, pp. 5803-5820, 2013.
[http://dx.doi.org/10.1088/0031-9155/58/16/5803] [PMID: 23917704]
[10]
E. Enjilela, and E. Hussein, "Reconstruction of region-of-interest image in narrow-field-of-view computed tomography without prior constraints", J. Med. Biol. Eng., vol. 34, no. 5, pp. 431-438, 2014.
[http://dx.doi.org/10.5405/jmbe.1687]
[11]
P. Jeon, C. Lee, D. Kim, Y. Lee, S. Jeon, and H. Kim, "Dose reduction and image quality optimizations in CT of pediatric and adult patients: phantom studies", J. Instrum., vol. 9, no. 3, pp. 705-710, 2014.
[http://dx.doi.org/10.1088/1748-0221/9/03/P03013]
[12]
F. Fahmi, L.F. Beenen, G.J. Streekstra, N.Y. Janssen, H.W. de Jong, A. Riordan, Y.B. Roos, C.B. Majoie, E. Vanbavel, and H.A. Marquering, "Head movement during CT brain perfusion acquisition of patients with suspected acute ischemic stroke", Eur. J. Radiol., vol. 82, no. 12, pp. 2334-2341, 2013.
[http://dx.doi.org/10.1016/j.ejrad.2013.08.039] [PMID: 24041432]
[13]
F. Fahmi, H.A. Marquering, G.J. Streekstra, L.F. Beenen, N.N. Janssen, C.B. Majoie, and E. van Bavel, "Automatic detection of CT perfusion datasets unsuitable for analysis due to head movement of acute ischemic stroke patients", J. Healthc. Eng., vol. 5, no. 1, pp. 67-78, 2014.
[http://dx.doi.org/10.1260/2040-2295.5.1.67] [PMID: 24691387]
[14]
J.H. Kim, J. Nuyts, A. Kyme, Z. Kuncic, and R. Fulton, "A rigid motion correction method for helical computed tomography (CT)", Phys. Med. Biol., vol. 60, no. 5, pp. 2047-2073, 2015.
[http://dx.doi.org/10.1088/0031-9155/60/5/2047] [PMID: 25674780]
[15]
J.H. Kim, T. Sun, A.R. Alcheikh, Z. Kuncic, J. Nuyts, and R. Fulton, "Correction for human head motion in helical x-ray CT", Phys. Med. Biol., vol. 61, no. 4, pp. 1416-1438, 2016.
[http://dx.doi.org/10.1088/0031-9155/61/4/1416] [PMID: 26807931]
[16]
L. Rankine, H. Wan, P. Parikh, N. Maughan, P. Poulsen, and T. Dewees, "Cone-Beam Computed Tomography (CB-CT) internal motion tracking should be used to validate 4-Dimensional CT for abdominal radiotherapy patients", Int. J. Radiat. Oncol. Biol. Phys., vol. 95, no. 2, pp. 818-826, 2016.
[http://dx.doi.org/10.1016/j.ijrobp.2016.01.047] [PMID: 27020102]
[17]
G. Wang, and M.W. Vannier, "Preliminary study on helical CT algorithms for patient motion estimation and compensation", IEEE Trans. Med. Imaging, vol. 14, no. 2, pp. 205-211, 1995.
[http://dx.doi.org/10.1109/42.387702] [PMID: 18215824]
[18]
H. Yu, Y. Wei, J. Hsieh, and G. Wang, "Data consistency based translational motion artifact reduction in fan-beam CT", IEEE Trans. Med. Imaging, vol. 25, no. 6, pp. 792-803, 2006.
[http://dx.doi.org/10.1109/TMI.2006.875424] [PMID: 16768243]
[19]
H. Luo, X. Huang, W. Pan, and H. Zhou, "A frequency domain based rigid motion artifact reduction algorithm", Proc. SPIE, vol. 7497, 2009
[http://dx.doi.org/10.1117/12.832528]
[20]
T. Sun, J.H. Kim, R. Fulton, and J. Nuyts, "An iterative projection-based motion estimation and compensation scheme for head x-ray CT", Med. Phys., vol. 43, no. 10, pp. 5705-5716, 2016.
[http://dx.doi.org/10.1118/1.4963218] [PMID: 27782729]
[21]
Y. Zhang, L. Zhang, and Y. Sun, "Rigid motion artifact reduction in CT using frequency domain analysis", J. XRay Sci. Technol., vol. 25, no. 5, pp. 721-736, 2017.
[http://dx.doi.org/10.3233/XST-16193] [PMID: 28506020]
[22]
X. Tong, Z. Ye, Y. Xu, S. Liu, L. Li, and H. Xie, "A novel subpixel phase correlation method using singular value decomposition and unified random sample consensus", IEEE Trans. Geosci. Remote Sens., vol. 53, no. 8, pp. 4143-4156, 2015.
[http://dx.doi.org/10.1109/TGRS.2015.2391999]
[23]
H. Foroosh, J.B. Zerubia, and M. Berthod, "Extension of phase correlation to subpixel registration", IEEE Trans. Image Process., vol. 11, no. 3, pp. 188-200, 2002.
[http://dx.doi.org/10.1109/83.988953] [PMID: 18244623]
[24]
J. Hsieh, Computed Tomography: Principles, Design, Artifacts, and Recent Advances., SPIE Press: Bellingham, Wash, USA, 2003.
[25]
L. Li, Q. Zeng, and F. Meng, "Translation, rotation, and scale invariant image registration technique using angular and radial difference functions", Chin. Opt. Lett., vol. 6, pp. 827-829, 2008.
[http://dx.doi.org/10.3788/COL20080611.0827]
[26]
S. Zhao, K. Yang, and K. Yang, "Fan beam image reconstruction with generalized Fourier slice theorem", J. XRay Sci. Technol., vol. 22, no. 4, pp. 415-436, 2014.
[http://dx.doi.org/10.3233/XST-140436] [PMID: 25080112]
[27]
A. Alba, J. Gomez, E. Santana, and R. Ponce, "Phase correlation with sub-pixel accuracy: A comparative study in 1D and 2D", Comput. Vis. Image Underst., vol. 137, no. C, pp. 76-87, 2015.
[http://dx.doi.org/10.1016/j.cviu.2015.03.011]

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