<i>Radiological Imaging: The Theory of Image Formation, Detection, and Processing</i>

Barrett, H. H.; Swindell, W.; Stanton, Robert E.

doi:10.1063/1.2915593

Cited by 247 publications

(323 citation statements)

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“…Although the model kernel we implemented in the OS-EM algorithm incorporated the effects of the collimator and the camera as indicated above, we did not include attenuation and scatter of the emitted gamma rays within the animal. The necessity for or benefits of attenuation and scatter correction for small animal imaging in general have not been well characterized, and most research and commercially available small animal systems do not incorporate these features [27,37,38]. Recently, Rutao et al [39], by simulating and comparing images of an intact rat skull with an excised rat brain, reported that attenuation correction may be beneficial but that scatter correction did not improve image quality significantly.…”

Section: Discussionmentioning

confidence: 99%

“…This algorithm, a variant of maximum-likelihood expectation maximization [25], computes a spatial estimate of the MAA distribution using an iterative procedure that incorporates physical and statistical parameters of the image acquisition. In particular, the algorithm incorporates an error function [26] model of the geometric response of an idealized pinhole, as well as the experimentally measured point spread function of the camera [27]. Generally, the image data were organized into four subsets, and five iterations were needed for convergence.…”

Section: Imaging System: Spect and Micro-ctmentioning

confidence: 99%

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Bronchial circulation angiogenesis in the rat quantified with SPECT and micro-CT

Wietholt

Roerig

Gordon

et al. 2008

Eur J Nucl Med Mol Imaging

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Section: Discussionmentioning

confidence: 99%

Section: Imaging System: Spect and Micro-ctmentioning

confidence: 99%

Bronchial circulation angiogenesis in the rat quantified with SPECT and micro-CT

Wietholt

Roerig

Gordon

et al. 2008

Eur J Nucl Med Mol Imaging

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“…For a two-dimensional pinhole system, the image g is given (Barrett and Swindell (1981)) approximately as…”

Section: Image Formationmentioning

confidence: 99%

“…A more exact model (Barrett and Swindell 1981) accounts for additional factors for high obliquity rays, vignetting due to finite aperture thickness, and modification of the aperture transmittance due to gamma-ray penetration of the aperture. These physical effects are small and do not significantly affect our conclusions.…”

Section: Image Formationmentioning

confidence: 99%

Aperture optimization in emission imaging using ideal observers for joint detection and localization

Zhou¹,

Khurd²,

Kulkarni³

et al. 2008

Phys. Med. Biol.

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For the familiar 2-class detection problem (signal present/absent), ideal observers have been applied to optimization of pinhole and collimator parameters in planar emission imaging. Given photon noise and background and signal variability, such experiments show how to optimize an aperture to maximize detectability of the signal. Here, we consider a fundamentally different, more realistic task in which the observer is required to both detect and localize a signal. The signal is embedded in a variable background and is known except for location. We inquire whether the addition of a localization requirement changes conclusions on aperture optimization. We have previously formulated an ideal observer for this joint detection/localization task, and here apply it to the classic problem of determining an optimal pinhole diameter in a planar emission imaging system. We conclude that as search tolerance on localization decreases, the optimal pinhole diameter shrinks from that required by detection alone, and in addition, task performance becomes more sensitive to fluctuations about the optimal pinhole diameter. As in the case for detection only, the optimal pinhole diameter shrinks as the amount of background variability grows, and in addition, conspicuity limits can be observed. Unlike the case for detection only, our task leads to a finite aperture size in the absence of background variability. For both tasks, the inclusion of background variability yields a finite aperture size.

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“…The first one attempts to measure the attenuation map based on transmission scanning, including an external radionuclide source [4,5], CT [7], or segmented MRI data [8]. However, because the emitted photon traverses only part of the patient's anatomy before reaching detector, the problem of photon attenuation in SPECT has proven to be very difficult.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Reconstruction of Tissue Attenuation and Radioactivity Maps in SPECT

Tian

Liu

Shi

2006

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

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Abstract. The importance of accurate attenuation correction in single photon emission computed tomography (SPECT) has been widely recognized. In this paper, we propose a novel scheme of simultaneous reconstruction of the tissue attenuation map and the radioactivity distribution from SPECT emission sinograms, which is obviously beneficial when the transmission data is missing for cost or efficiency reasons. Our strategy combines the SPECT image formation and data measurement models, whereas the attenuation parameters are treated as random variables with known prior statistics. After converting the models to state space representation, the extended Kalman filtering procedures are adopted to linearize the equations and to provide the joint estimates in an approximate optimal sense. Experiments have been performed on synthetic data and real scanning data to illustrate abilities and benefits of the method.

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Radiological Imaging: The Theory of Image Formation, Detection, and Processing

Cited by 247 publications

References 0 publications

Bronchial circulation angiogenesis in the rat quantified with SPECT and micro-CT

Bronchial circulation angiogenesis in the rat quantified with SPECT and micro-CT

Aperture optimization in emission imaging using ideal observers for joint detection and localization

Simultaneous Reconstruction of Tissue Attenuation and Radioactivity Maps in SPECT

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