1996
DOI: 10.1007/bf03165051
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Iterative correction method for shift-variant blurring caused by collimator aperture in SPECT

Abstract: A collimation system in single photon computed tomography (SPECT) induces blurring on reconstructed images. The blurring varies with the collimator aperture which is determined by the shape of the hole (its diameter and length), and with the distance between the collimator surface and the object. The blurring has shift-variant properties. This paper presents a new iterative method for correcting the shift-variant blurring. The method estimates the ratio of "ideal projection value" to "measured projection value… Show more

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Cited by 12 publications
(4 citation statements)
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“…Methods of correcting the effect of the collimator include a method based on a position-independent deblurring filter [8], correction by iterative approach [9][10][11][12], and a correction procedure in Fourier transform domain intended to achieve position-dependent correction [13][14][15]. In this study, a method of performing attenuation correction and aperture correction at the same time [15] is used.…”
Section: Correction Aperturementioning
confidence: 99%
“…Methods of correcting the effect of the collimator include a method based on a position-independent deblurring filter [8], correction by iterative approach [9][10][11][12], and a correction procedure in Fourier transform domain intended to achieve position-dependent correction [13][14][15]. In this study, a method of performing attenuation correction and aperture correction at the same time [15] is used.…”
Section: Correction Aperturementioning
confidence: 99%
“…Because of this, SPECT images have shift-variants, blurring that differs at the center and periphery of the image. Several methods have been proposed to compensate for this degradation in the collimator's spatial resolution: to apply a filter that removes blurring in a position-independent way [3]; to apply corrections based on Fourier regions, which allows for position-dependent corrections [4][5][6]; or to apply corrections via iterative approximations [7][8][9][10]. Of these, noise resistance is lowest with compensation methods in frequency space, so these are not much used, and iterative methods are often chosen for use in real-world clinical settings.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the 3D-FDR method is based on the Fourier transform of a sinogram, which is applied to projected data prior to reconstruction [10]. The 3D-FDR method, which is mainly used for filtered back projection (FBP), can be applied for OSEM [11]. Regarding DaT-SPECT imaging, improvements in image quality produced by spatial resolution correction using 3D-FDR has not been studied.…”
mentioning
confidence: 99%