Point spread function modeling and image restoration for cone-beam CT

ZHANG Hua; HUANG Kui-Dong; SHI Yi-Kai; XU Zhe

doi:10.1088/1674-1137/39/3/038202

Chinese Physics C> 2015, Vol. 39> Issue(3) : 038202 DOI: 10.1088/1674-1137/39/3/038202

Point spread function modeling and image restoration for cone-beam CT

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Abstract：
X-ray cone-beam computed tomography (CT) has such notable features as high efficiency and precision, and is widely used in the fields of medical imaging and industrial non-destructive testing, but the inherent imaging degradation reduces the quality of CT images. Aimed at the problems of projection image degradation and restoration in cone-beam CT, a point spread function (PSF) modeling method is proposed first. The general PSF model of cone-beam CT is established, and based on it, the PSF under arbitrary scanning conditions can be calculated directly for projection image restoration without the additional measurement, which greatly improved the application convenience of cone-beam CT. Secondly, a projection image restoration algorithm based on pre-filtering and pre-segmentation is proposed, which can make the edge contours in projection images and slice images clearer after restoration, and control the noise in the equivalent level to the original images. Finally, the experiments verified the feasibility and effectiveness of the proposed methods.

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[1]

LI L S, ZENG L, QIU C J et al. Insight, 2012, 54: 544-550[2] YU W, ZENG L, YANG X Y. Insight, 2014, 56: 69-74[3] Kasap S, Frey J B, Belev G et al. Sensors, 2011, 11: 5112-5157[4] WANG Y X, TIAN W J, WANG L et al. Acta Photonica Sin., 2005, 34: 923-926[5] Fujita H, Tsai D Y, Itoh T et al. IEEE Trans. Med. Imaging, 1992, 11: 34-39[6] Olson J T, Espinola R L, Jacobs E L. Opt. Eng., 2007, 46: 016403[7] JIANG X G, TAN Z, LI Z R et al. High Power Laser and Particle Beams, 2004, 16: 296-300[8] RONG J Y, FU G T, WEI C F et al. Chinese Physics C, 2010, 34: 412-416[9] WANG Y F, QUE J M, CAO D Q et al. Chinese Physics C, 2013, 37: 078202[10] FENG B, CHEN M, BAI B et al. IEEE Trans. Nucl. Sci., 2010, 57: 173-180[11] SONG G Z, MA J M, WANG K L et al. Acta Phys. Sin., 2012, 61: 102902[12] XIAO W, YAN H, GUO W. Nucl. Instrum. Methods Phys. Res. Sect. A, 2008, 586: 367-371[13] Mignotte M. Pattern Recognition Letters, 2008, 29: 2206-2212[14] Hashemi S, Kiani S, Noroozi N et al. Pattern Recognition Letters, 2010, 31: 1816-1824[15] Khan A, YIN H. Lecture Notes in Computer Science, 2011, 6936: 144-151[16] ZHANG L, BU K, HUANG K D et al. Chinese Journal of Scientific Instrument, 2012, 33: 2061-2066[17] LIANG L H, GUO W M, LU H N. Optical Technique, 2005, 31: 630-632[18] Lucy L B. Astronomical Journal, 1974, 79: 745-754[19] Richardson W H. J Opt Soc Am, 1972, 62: 55-59[20] Buades A, Coll B, Morel J M. Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, 2: 60-65[21] HUANG K D, ZHANG D H, WANG K. Proc. 6th SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, 7497: 749711[22] HUANG K D, ZHANG D H, LI M J et al. Applied Mechanics and Materials, 2012, 229-231: 1819-1822[23] LI M J, ZHANG D H, HUANG K D et al. Acta Armamentarii, 2010, 31: 1455-1460[24] ZHANG H, HUANG K D, SHI Y K et al. CT Theory and Applications, 2012, 21: 247-254[25] HUANG K D, ZHANG D H, LI M J et al. Acta Phys. Sin., 2013, 62: 210702

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ZHANG Hua, HUANG Kui-Dong, SHI Yi-Kai and XU Zhe. Point spread function modeling and image restoration for cone-beam CT[J]. Chinese Physics C, 2015, 39(3): 038202. doi: 10.1088/1674-1137/39/3/038202

ZHANG Hua, HUANG Kui-Dong, SHI Yi-Kai and XU Zhe. Point spread function modeling and image restoration for cone-beam CT[J]. Chinese Physics C, 2015, 39(3): 038202. doi: 10.1088/1674-1137/39/3/038202 shu

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Received: 2014-05-09
Revised: 1900-01-01

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

Point spread function modeling and image restoration for cone-beam CT

Corresponding author: HUANG Kui-Dong,

Received Date: 2014-05-09

Accepted Date: 1900-01-01

Available Online: 2015-03-05

Abstract: X-ray cone-beam computed tomography (CT) has such notable features as high efficiency and precision, and is widely used in the fields of medical imaging and industrial non-destructive testing, but the inherent imaging degradation reduces the quality of CT images. Aimed at the problems of projection image degradation and restoration in cone-beam CT, a point spread function (PSF) modeling method is proposed first. The general PSF model of cone-beam CT is established, and based on it, the PSF under arbitrary scanning conditions can be calculated directly for projection image restoration without the additional measurement, which greatly improved the application convenience of cone-beam CT. Secondly, a projection image restoration algorithm based on pre-filtering and pre-segmentation is proposed, which can make the edge contours in projection images and slice images clearer after restoration, and control the noise in the equivalent level to the original images. Finally, the experiments verified the feasibility and effectiveness of the proposed methods.

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Point spread function modeling and image restoration for cone-beam CT

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