System performance Simulations of the RatCAP awake rat brain scanner

Shokouhi, Sepideh; Vaska, P.; Schlyer, David; Stoll, S. P.; Villanueva, Arantxa; Kriplani, A.; Volkow, Nora D.

doi:10.1109/tns.2005.858236

Cited by 12 publications

(7 citation statements)

References 8 publications

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“…One system for conscious rodent imaging is the RatCAP [71,72], where a miniaturized PET camera is mounted directly on the head of rats. Other solutions for conscious PET imaging are the use of marker-based [73] and also marker-less head motion tracking systems [74].…”

Section: Anesthesiamentioning

confidence: 99%

Quantitative preclinical PET imaging: opportunities and challenges

Kuntner

Stout

2014

Front. Physics

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PET imaging of metabolism involves many choices, from hardware settings, software options to animal handling considerations. How to decide what settings or conditions to use is not straightforward, as the experimental design is dependent on the particular science being investigated. There is no single answer, yet there are factors that are common to all experiments that are the subject of this review. From physics to physiology, there are many factors to consider, each of which can have a significant impact upon measurements of metabolism in vivo. This review examines the most common factors related to all types of quantitative PET imaging.

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Section: Anesthesiamentioning

confidence: 99%

Quantitative preclinical PET imaging: opportunities and challenges

Kuntner

Stout

2014

Front. Physics

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“…6 shows the reconstructed image from which a FWHM resolution of 2.1 mm was measured or 1.9 mm after deconvolving the source size. Details are provided in [13].…”

Section: A Spatial Resolutionmentioning

confidence: 99%

“…Simulated spatial resolution across FOV for RatCAP geometry with specified crystal lengths and for the UCLA microPET for comparison (more approximate, analytical results are from [6]). modified to model a discrete-crystal annulus geometry closely approximating the RatCAP design [13]. Point sources were generated over a range of radii and the data binned into direct-plane sinograms, which were normalized for geometrical effects and then reconstructed using filtered backprojection.…”

Section: A Spatial Resolutionmentioning

confidence: 99%

RatCAP: miniaturized head-mounted PET for conscious rodent brain imaging

Vaska

Woody

Schlyer

et al. 2004

IEEE Trans. Nucl. Sci.

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107

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Anesthesia is currently required for positron emission tomography (PET) studies of the animal brain in order to eliminate motion artifacts. However, anesthesia profoundly affects the neurological state of the animal, complicating the interpretation of PET data. Furthermore, it precludes the use of PET to study the brain during normal behavior. The rat conscious animal PET tomograph (RatCAP) is designed to eliminate the need for anesthesia in rat brain studies. It is a miniaturized full-ring PET scanner that is attached directly to the head, imaging nearly the entire brain. RatCAP utilizes arrays of 2 mm 2 mm LSO crystals coupled to matching avalanche photodiode arrays, which are in turn read out by full custom integrated circuits. Principal challenges have been addressed considering the physical constraints on size, weight, and heat generation in addition to the usual requirements of small-animal PET, such as high spatial resolution in the presence of parallax error. A partial prototype has been constructed and preliminary measurements and optimization completed. Realistic Monte Carlo simulations have also been carried out to optimize system performance, which is predicted to be competitive with existing microPET systems.Index Terms-Biomedical applications of nuclear radiation, biomedical nuclear imaging, gamma-ray detectors, motion compensation, nervous system, positron emission tomography (PET).

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“…This is an internal extension of SimSET. The second approach is a deeper modification of the SimSET code that replaces the solid annulus with true rectangular blocks in the detector module [3]. This full extension is to be released in late 2007/early 2008.…”

Section: Introductionmentioning

confidence: 99%

Expanding SimSET to include block detectors: performance with pseudo-blocks and a true block model

Schmitz

Gillispie

Harrison

et al. 2007

2007 IEEE Nuclear Science Symposium Conference Record

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We present a study that introduces two approaches to implementing block detectors into SimSET and compares their performance. SimSET is a photon tracking simulation package, which currently incorporates only detectors made of a solid annulus of scinitillator material. A pseudo-block approximation has been imposed on the solid annulus of conventional SimSET by discarding interactions in annulus segments that span the angular block gap. This yields blocks that are annulus segments, not rectangles. This is a quick and easy approximation of block structure, which brings SimSET results closer to actual scanner measurements. Even better agreement is expected with a deeper modification of the SimSET code that implements true rectangular blocks in the detector module (to be released late 2007/early 2008). This approach enables the greatest amount of variability and trueness to detail.We compare results from both block structure implementations to the conventional SimSET results and to measurements from a GE DSTE PET/CT scanner. Differences are evaluated in terms of sensitivities, crystal maps, and energy spectra, as well as in benchmark time tests of the simulation runs and their ease of use.Either implementation of block structure can aid in improving simulation accuracy by ameliorating one known cause of discrepancies, the geometric nature of the block detectors.

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System performance Simulations of the RatCAP awake rat brain scanner

Cited by 12 publications

References 8 publications

Quantitative preclinical PET imaging: opportunities and challenges

Quantitative preclinical PET imaging: opportunities and challenges

RatCAP: miniaturized head-mounted PET for conscious rodent brain imaging

Expanding SimSET to include block detectors: performance with pseudo-blocks and a true block model

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