“…Collimator performance, often characterized by its sensitivity, spatial resolution, and field of view (FOV), depends partially on the size of the imaged object and its distance from the detector. In human brain SPECT imaging converging collimators offer improved sensitivity and resolution [2]- [6] compared to parallel-hole collimators widely utilized in clinical SPECT. Two well-known converging collimator types are fan-beam (FB) [2], [3] and cone-beam (CB) [3], [4].…”
Section: Introductionmentioning
confidence: 99%
“…In human brain SPECT imaging converging collimators offer improved sensitivity and resolution [2]- [6] compared to parallel-hole collimators widely utilized in clinical SPECT. Two well-known converging collimator types are fan-beam (FB) [2], [3] and cone-beam (CB) [3], [4]. The FB collimator converges only transaxially and for typical imaging scenarios offers less sensitivity compared to a CB collimator.…”
In this study related to human brain SPECT imaging, simulation of half-cone-beam collimation and helical-path data acquisition is performed. We discuss problems related to circular-orbit acquisition using cone-beam collimation, such as shoulder interference resulting in object truncation, and insufficient sampling of the object resulting in axial distortions in the reconstructed images. We demonstrate that a triple-camera SPECT system with half-cone-beam collimation and singlerevolution helical-path acquisition eliminates both issues and offers substantially improved sampling and almost artifact-free reconstruction of the object.
“…Collimator performance, often characterized by its sensitivity, spatial resolution, and field of view (FOV), depends partially on the size of the imaged object and its distance from the detector. In human brain SPECT imaging converging collimators offer improved sensitivity and resolution [2]- [6] compared to parallel-hole collimators widely utilized in clinical SPECT. Two well-known converging collimator types are fan-beam (FB) [2], [3] and cone-beam (CB) [3], [4].…”
Section: Introductionmentioning
confidence: 99%
“…In human brain SPECT imaging converging collimators offer improved sensitivity and resolution [2]- [6] compared to parallel-hole collimators widely utilized in clinical SPECT. Two well-known converging collimator types are fan-beam (FB) [2], [3] and cone-beam (CB) [3], [4]. The FB collimator converges only transaxially and for typical imaging scenarios offers less sensitivity compared to a CB collimator.…”
In this study related to human brain SPECT imaging, simulation of half-cone-beam collimation and helical-path data acquisition is performed. We discuss problems related to circular-orbit acquisition using cone-beam collimation, such as shoulder interference resulting in object truncation, and insufficient sampling of the object resulting in axial distortions in the reconstructed images. We demonstrate that a triple-camera SPECT system with half-cone-beam collimation and singlerevolution helical-path acquisition eliminates both issues and offers substantially improved sampling and almost artifact-free reconstruction of the object.
“…1͒ and we consider astigmatic collimation where one focal line is parallel to and one focal line is perpendicular to the axis of rotation of the gamma camera for SPECT imaging. Parallel beam, 3 fan beam, 4 and cone beam 5 collimations are examples of astigmatic collimation where the focal lines meet specific conditions. For example, for fan beam collimation one of the focal lengths is infinite while for cone beam collimation the two focal lengths are equal.…”
A filtered backprojection algorithm is developed for single photon emission computed tomography (SPECT) imaging with an astigmatic collimator having a displaced center of rotation. The astigmatic collimator has two perpendicular focal lines, one that is parallel to the axis of rotation of the gamma camera and one that is perpendicular to this axis. Using SPECT simulations of projection data from a hot rod phantom and point source arrays, it is found that a lack of incorporation of the mechanical shift in the reconstruction algorithm causes errors and artifacts in reconstructed SPECT images. The collimator and acquisition parameters in the astigmatic reconstruction formula, which include focal lengths, radius of rotation, and mechanical shifts, are often partly unknown and can be determined using the projections of a point source at various projection angles. The accurate determination of these parameters by a least squares fitting technique using projection data from numerically simulated SPECT acquisitions is studied. These studies show that the accuracy of parameter determination is improved as the distance between the point source and the axis of rotation of the gamma camera is increased. The focal length of the focal line perpendicular to the axis of rotation is determined more accurately than the focal length to the focal line parallel to this axis.
“…The most popular ones are fanbeam, conebeam, varying-focal-length, parallel-slant-hole, and pinhole collimators (1)(2)(3)(4)(5)(6)(7). These collimators can potentially increase photon detection efficiency and provide more photon counts for the organ of interest.…”
The use of convergent-beam SPECT can increase detection sensitivity; however, the projection data are likely to be truncated if the patient is not properly positioned. This article describes a patient-positioning method that has been adopted in our hospital for cardiac SPECT scans when convergent-beam collimators are used. Methods: The system that we use has 3 detector heads and a patient table (i.e., bed) with 3 locking positions: left, center, and right. When convergent-beam collimators are used in a cardiac SPECT scan, the patient table is locked in the left position, and a noncircular contour orbit is set up. Results: We were able to acquire truncation-free cardiac projections for all of our patients. Conclusion: Patient positioning in convergent-beam SPECT is important. If the patient is not positioned properly, then the heart may be truncated in some projection views. The use of the left locking position of the patient table positions the heart at the center of rotation, and the heart is not truncated in the projection data.
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