2018
DOI: 10.1002/mp.12883
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Patient‐specific estimation of spatially variant image noise for a pinhole cardiacSPECTcamera

Abstract: The PV method provides a rapid estimate for spatially variant patient-specific image noise magnitude in a pinhole-collimated dedicated cardiac SPECT camera with a bias of -0.3% and better than 83% precision.

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Cited by 6 publications
(3 citation statements)
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References 21 publications
(43 reference statements)
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“…With pinhole collimators, sensitivity is strongly distance-dependent, leading to highly variable system sensitivity across the FOV. 5,6 Measuring the counts acquired per MBq of a source in the cardiac system is valid, but only for that particular size, shape and location of source. To further complicate the comparison, sensitivity in clinical MPI also depends on the attenuation of the object.…”
Section: Effects On Count Sensitivity and Spatial Resolutionmentioning
confidence: 99%
“…With pinhole collimators, sensitivity is strongly distance-dependent, leading to highly variable system sensitivity across the FOV. 5,6 Measuring the counts acquired per MBq of a source in the cardiac system is valid, but only for that particular size, shape and location of source. To further complicate the comparison, sensitivity in clinical MPI also depends on the attenuation of the object.…”
Section: Effects On Count Sensitivity and Spatial Resolutionmentioning
confidence: 99%
“…It is well known that the level of noise and lesion detectability in a reconstructed image depends on reconstruction methods (algorithm, number of iterations, priors, resolution recovery, and filtering) in addition to the number of photons detected [8], [66], [92], [96]. While measuring myocardial photon counts in projection space is simpler to do, our approach includes the effects of reconstruction on the noise character of patient images.…”
Section: Discussionmentioning
confidence: 99%
“…The system sensitivity is additive, such that it may be lower for positions not seen by all detectors (outside the quality FOV) than for positions inside the QFOV. In the case of the DNM530c, even though the heart is positioned inside the QFOV, the positioning of the pinholes above and to the right of the FOV leads to a gradient in the number of photons contributing to an image across the length of the heart (from bottom-left to top-right in the QFOV) [33], [66].…”
Section: Collimator Sensitivity and Number Of Detectorsmentioning
confidence: 99%