Digital timing in positron emission tomography

Guerra, P.; Ortuño, Juan E.; Kontaxakis, George; Ledesma, M.J.; Vaquero, J.J.; Desco, Manuel; Santos, A.

doi:10.1109/nssmic.2006.354272

Cited by 2 publications

(3 citation statements)

References 18 publications

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“…An alternative method to determine the reference pulse is mathematically deriving the reference pulse. Previous work [5] has modeled the pulses as two exponentials, but our research indicated that while exponentials are a close fit, they are not accurate enough for our needs. Furthermore, if a mathematical function is used, an accurate model of the data acquisition chain in Fig.…”

Section: Fpga Timingmentioning

confidence: 86%

“…One complication of our timing algorithm, as well as any that use a reference pulse [5], is the need to accurately determine or discover a good reference pulse. Previous timing work [5] used exponentials as models for the photodetector pulse.…”

Section: Introductionmentioning

confidence: 99%

“…Previous timing work [5] used exponentials as models for the photodetector pulse. Our experiments found that models based on exponentials did not fit the data as well as models derived from the actual photodetector pulses.…”

Section: Introductionmentioning

confidence: 99%

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FPGA-based pulse parameter discovery for positron emission tomography

Haselman

Hauck

Lewellen

et al. 2009

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

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Modern Field Programmable Gate Arrays (FPGAs) are capable of performing complex digital signal processing algorithms with clock rates well above 100MHz. This, combined with FPGA's low expense and ease of use make them an ideal technology for a data acquisition system for a positron emission tomography (PET) scanner. The University of Washington is producing a series of highresolution, small-animal PET scanners that utilize FPGAs as the core of the front-end electronics. For these next generation scanners, functions that are typically performed in dedicated circuits, or offline, are being migrated to the FPGA. This will not only simplify the electronics, but the features of modern FPGAs can be utilizes to add significant signal processing power to produce higher resolution images. In this paper we report how we utilize the reconfigurable property of an FPGA to self-calibrate itself to determine pulse parameters necessary for some of the pulse processing steps. Specifically, we show how the FPGA can generate a reference pulse based on actual pulse data instead of a model. We also report how other properties of the photodetector pulse (baseline, pulse length, average pulse energy and event triggers) can be determined automatically by the FPGA.

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Section: Fpga Timingmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%