RatCAP: a small, head-mounted PET tomograph for imaging the brain of an awake RAT

Kriplani, A.; O’Connor, P.; Pratte, J.‐F.; Radeka, V.; Rescia, S.; Schlyer, David; Shokouhi, Sepideh; Stoll, S. P.; Vaska, P.; Villaneuva, A; Volkow, Nora D.; Yu, B. X.

doi:10.1016/j.nima.2004.03.114

Cited by 34 publications

(14 citation statements)

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“…Although a specially designed PET scanner [30] or continuous motion tracking method with a slight amount of movement restriction [31] have been suggested for the PET scans of unanesthetized animals, they have not been practical for use to date. Therefore, the proper choice of the methods used as well as the minimal use of anesthesia remains the most important issues to consider for animal PET imaging studies, and the minimization of the time for the total PET study is regarded as one of the most important factors for use of this technology on animals.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of Template-Guided Attenuation Correction in Cat Brain PET Imaging

et al. 2009

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Section: Discussionmentioning

confidence: 99%

Feasibility of Template-Guided Attenuation Correction in Cat Brain PET Imaging

et al. 2009

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“…ased on the RatCAP PET detector technology, a compact PET scanner for the purpose of imaging plants has been developed [1]. In an effort to minimize the detrimental effects introduced to the plants when placing them in traditional horizontal PET scanners, the BNL PET scanner was designed to fit within a plant growth chamber (Fig.…”

Section: System Descriptionmentioning

confidence: 99%

Imaging performance of the BNL PET imaging system for plant science

Budassi

Stoll

Purschke

et al. 2013

2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)

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 Abstract-A PET scanner for the purpose of plant imaging has been developed by the BNL PET imaging group. The compact design of the integrated system permits its use within a plant growth chamber, in which various radioisotopes can be administered and tracked throughout the plant. The scanner has seen multiple upgrades, which improve its capability to investigate aspects of plant biology related to biofuels using radiotracer methods. These include the development of realtime feedback on data quality and a streamlined user interface. Further, a programmable movable stage allows us to focus on particular regions of interest in the plant, as well as extend the field of view to span the entire plant in a vertical scanning mode. We will present imaging results from PET studies conducted in association with the plant biology group at BNL.

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“…The BNL Breast Scanner (figure 1) [2] is a development derived from the smaller RatCAP detector [3], which is a head-mounted PET tomograph designed and built to image the brain of an awake rat. The breast scanner re-uses most of the RatCAP technology, such as the electronics and data readout, but is much larger than the RatCAP tomograph.…”

Section: Image Reconstruction Of the Breast Scannermentioning

confidence: 99%

Massively parallel image reconstruction for the BNL breast scanner PET tomograph using CUDA

Purschke

Southekal

Ravindranath

2009

2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)

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We describe the implementation of an image reconstruction algorithm using the parallel processing capabilities of graphics processors. We are designing a new breast scanner which will allow simultaneous acquisition of PET and MRI images. The breast scanner is based on the technology of the much smaller RatCAP PET detector. The image reconstruction of the breast scanner poses a significant computing challenge, which we hope to alleviate with the processing power of modern GPUs. We describe the status of the reconstruction and discuss goals and future possible improvements. I. HIGH-PERFORMANCE COMPUTING ON THE GPUA new trend is evolving in high-performance computing, which makes use of commodity graphics processors (GPUs) for massively parallel computing tasks. The development of GPUs, driven by high-end computer gaming, can easily be used for CPU-intensive tasks. Off-the-shelf systems providing multiple TeraFlops of processing power are available at commodity price levels today.We have investigated the "Compute Unified Device Architecture" (CUDA) [1] framework, which makes use of NVIDIA GPUs in either a CUDA-enabled graphics card, or in a dedicated GPU board. Even low-cost graphics cards provide a large number of individual "Multiprocessors", which in turn provide a high number of processing cores, allowing to run hundreds or thousands of parallel execution threads. At the time of this writing, the newest GPU board can run more than 7000 parallel threads. The CUDA software libraries and development kits are available for free. II. IMAGE RECONSTRUCTION OF THE BREAST SCANNERThe BNL Breast Scanner (figure 1) [2] is a development derived from the smaller RatCAP detector [3], which is a head-mounted PET tomograph designed and built to image the brain of an awake rat. The breast scanner re-uses most of the RatCAP technology, such as the electronics and data readout, but is much larger than the RatCAP tomograph.The data of the tomographs are reconstructed using a MLEM reconstruction mechanism [4], which uses an iterative process. At the core of the algorithm is the system matrix A, which describes the probabilities that the decay photons originating from a particular voxel end up in a given pair of detector elements.The iterative approach adjusts the image data X until the estimated projections AX produce a close approximation of M. L. Purschke is with Brookhaven National Laboratory, Upton, NY 11973, USA S. S. Southekal and B. Ravindranath are with the Stony Brook University, Stony Brook, NY.Fig. 1. Conceptional design of the BNL breast scanner. In this design, the diameter of the tomograph can be adjusted.the measured data. Since MLEM converges slowly, over 1000 iterations are required for quantitative accuracy.In the course of the code execution, we calculate a forward projection which can, after some simplifications, be written asIn essence, this represents the measured counts per line of response (LOR) that would have been obtained with the activity distribution given in the current image candidate X n , where n deno...

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RatCAP: a small, head-mounted PET tomograph for imaging the brain of an awake RAT

Cited by 34 publications

References 3 publications

Feasibility of Template-Guided Attenuation Correction in Cat Brain PET Imaging

Feasibility of Template-Guided Attenuation Correction in Cat Brain PET Imaging

Imaging performance of the BNL PET imaging system for plant science

Massively parallel image reconstruction for the BNL breast scanner PET tomograph using CUDA

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