Artifacts correction method for fan-beam CT with projections asymmetrically truncated on both sides

Abstract In fan-beam CT scanning, the scanned field of view is determined by the fan-beam angle and the effective length of a linear array detector. Therefore, when an object extends outside the scanned field of view, CT projection data acquired by the detector will not be complete and is truncated abruptly at the projection boundaries. Furthermore, due to mechanical misalignment of X-ray source, object and the linear array detector, the length of the truncated data on the left side is not equal to its length on the right side. This asymmetrical truncation on both sides will bring out dual bright-band artifacts in the reconstructed images. The purpose of this paper is to develop a method of eliminating these artifacts by projection extension techniques. We first extend the truncated projection unilaterally by using geometrical symmetry property of the fan-beam scanning. Through this method, the projection center of rotation is adjusted to the center of a virtual sinogram and the region of completely scanned field of view is enlarged. The projection values in the extended region equal their equivalent points in the raw sinogram. Thus, values of the supplemented projection data are not approximate and would not decrease the reconstruction accuracy. Next, “mirror extension” technique is preformed to avoid data discontinuity at the edges of a virtual sinogram. Extra data are supplemented to make the projection data on both boundaries attenuate to zero smoothly. Experimental results demonstrated that the dual bright-band artifacts were well eliminated and the correction method could be implemented within the convolution step of a filtered back-projection reconstruction with negligible computational expense.

[1]  Ying Hou,et al.  A calibration method for misaligned scanner geometry in cone-beam computed tomography , 2006 .

[2]  David A Jaffray,et al.  Accurate technique for complete geometric calibration of cone-beam computed tomography systems. , 2005, Medical physics.

[3]  Fanyong Meng,et al.  A practical method to calibrate the slant angle of central X-ray for laminography scanning system , 2014 .

[4]  Xiaochuan Pan,et al.  Image reconstruction in regions-of-interest from truncated projections in a reduced fan-beam scan , 2005, Physics in medicine and biology.

[5]  Yang Min,et al.  A new method to determine the center of rotation shift in 2D-CT scanning system using image cross correlation , 2012 .

[6]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[7]  Min Yang,et al.  Automatic X-ray inspection for escaped coated particles in spherical fuel elements of high temperature gas-cooled reactor , 2014 .

[8]  Yang Min,et al.  A new method to determine the projected coordinate origin of a cone-beam CT system using elliptical projection , 2010 .

[9]  Changguo Ji Accurate 3D data stitching in circular cone-beam micro-CT. , 2010, Journal of X-ray science and technology.

[10]  Hengyong Yu,et al.  A backprojection-filtration algorithm for nonstandard spiral cone-beam CT with an n-PI-window , 2005, Physics in medicine and biology.

[11]  Min Kook Cho,et al.  Cone-beam digital tomosynthesis for thin slab objects , 2012 .

[12]  Xing Zhao,et al.  A multi-thread scheduling method for 3D CT image reconstruction using multi-GPU. , 2012, Journal of X-ray science and technology.

[13]  Xiaochuan Pan,et al.  Exact image reconstruction on PI-lines from minimum data in helical cone-beam CT. , 2004, Physics in medicine and biology.

[14]  A. Katsevich Analysis of an exact inversion algorithm for spiral cone-beam CT. , 2002, Physics in medicine and biology.

[15]  K. Bae,et al.  Efficient correction for CT image artifacts caused by objects extending outside the scan field of view. , 2000, Medical physics.

[16]  Liang Li,et al.  Investigation of exact truncated data image reconstruction algorithm on parallel PI-line segments in fan-beam scans , 2007 .

[17]  Xiaochuan Pan,et al.  A unified analysis of FBP-based algorithms in helical cone-beam and circular cone- and fan-beam scans. , 2004, Physics in medicine and biology.

[18]  Xiaochuan Pan,et al.  Image reconstruction on PI-lines by use of filtered backprojection in helical cone-beam CT. , 2004, Physics in medicine and biology.

[19]  Sung-Jin Song,et al.  Imaging and measuring methods for coating layer thickness of TRISO-coated fuel particles with high accuracy , 2013 .

[20]  Tao Yang,et al.  GPU based iterative cone-beam CT reconstruction using empty space skipping technique. , 2013, Journal of X-ray science and technology.

[21]  Dong Du,et al.  Automatic weld defect detection based on potential defect tracking in real-time radiographic image sequence , 2012 .