1987
DOI: 10.1088/0031-9155/32/12/005
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Estimation of geometrical parameters for fan beam tomography

Abstract: Abstract. Tomographic image quality depends on precisely determining the geometric parameters that reference the detector system to the transaxial imaging coordinate system. For the parallel geometry, the projection of the centre of rotation onto the detector image plane completely defines the tomographic geometry. In addition to the projection of the centre of rotation onto the detector, fan beam geometry requires two other parameters that include the focal length and the projection of the focal point onto th… Show more

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Cited by 75 publications
(50 citation statements)
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“…where l e is the effective hole length of the collimator and m is the linear attenuation coefficient of the septal material (lead) at 140 keV (26,27,1). The effective geometric spatial resolution (R c ) is described as the FWHM of the intensity distribution obtained from a point source placed at a distance from the collimator face (2), given by: 3 where a is hole size, b is distance between the crystal and the collimator, and z is distance between the source and the collimator surface. Also, total resolution can be defined as:…”
Section: Monte Carlo Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…where l e is the effective hole length of the collimator and m is the linear attenuation coefficient of the septal material (lead) at 140 keV (26,27,1). The effective geometric spatial resolution (R c ) is described as the FWHM of the intensity distribution obtained from a point source placed at a distance from the collimator face (2), given by: 3 where a is hole size, b is distance between the crystal and the collimator, and z is distance between the source and the collimator surface. Also, total resolution can be defined as:…”
Section: Monte Carlo Simulationsmentioning
confidence: 99%
“…For optimization of collimator design, photon interactions in g-camera collimators have been simulated by the Monte Carlo N-particle code (MCNP5) (2)(3)(4). In this code, source geometry, collimators, and detectors need to be defined in the input file-a cumbersome process (5,6).…”
mentioning
confidence: 99%
“…These geometric parameters are needed in the CT reconstruction [1,2] , and the precision of these parameters is so important that a little error of these parameters will result in geometric artifact and blur the reconstructed image [3,4] .…”
Section: Introductionmentioning
confidence: 99%
“…Many methods have been proposed for CT geometric calibration [1,2,[5][6][7][8][9][10][11] , most of these methods require special manufactured calibration phantom for calculating the geometric parameters [5][6][7][8][9] . Noo et al [5] proposed an analytic method based on identification of ellipse parameters, they use the ellipse parameters as intermediate parameters to calculate the CT geometric parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Because tomography is a polar data acquisition technique, it requires a precise rotating system where the center of rotation (COR) must be known with high accuracy. To avoid COR error [12], geometrical calibration [13][14][15][16] and post-processing algorithms [17,18] are used to realign the projections and reconstruct the error-free images. However, when the voxel size decreases-for example in case of μCT and TDM-the accuracy of the rotation and alignments became more important.…”
Section: Introductionmentioning
confidence: 99%