2D image reconstruction with a FPGA-based architecture in a gamma camera application

Saldaña-González, Griselda; Salazar-Ibarguen, Humberto A.; Martinez, O.; Barbosa, Eduardo Moreno

doi:10.1109/conielecomp.2010.5440786

Cited by 2 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of them are based on CPU-GPU computational platforms that process the data outside of the DAQ chain, therefore leaving the true real-time data path [19,20]. Other solutions engage FPGAs for high-level data processing [21,22]. However, so far a true real-time image reconstruction, running with a full scale scanner was not achieved.…”

Section: State-of-the-art Image Reconstruction Algorithms Exploitmentioning

confidence: 99%

Evaluation of Single-Chip, Real-Time Tomographic Data Processing on FPGA SoC Devices

Korcyl

Hiesmayr

Jasińska

et al. 2018

IEEE Trans. Med. Imaging

View full text Add to dashboard Cite

A novel approach to tomographic data processing has been developed and evaluated using the Jagiellonian positron emission tomography scanner as an example. We propose a system in which there is no need for powerful, local to the scanner processing facility, capable to reconstruct images on the fly. Instead, we introduce a field programmable gate array system-on-chip platform connected directly to data streams coming from the scanner, which can perform event building, filtering, coincidence search, and region-of-response reconstruction by the programmable logic and visualization by the integrated processors. The platform significantly reduces data volume converting raw data to a list-mode representation, while generating visualization on the fly.

show abstract

Section: State-of-the-art Image Reconstruction Algorithms Exploitmentioning

confidence: 99%

Evaluation of Single-Chip, Real-Time Tomographic Data Processing on FPGA SoC Devices

Korcyl

Hiesmayr

Jasińska

et al. 2018

IEEE Trans. Med. Imaging

View full text Add to dashboard Cite

show abstract

“…Saldaña-González et al [3] presented-FPGA-based hardware implementation that takes the digitized voltage signals produced by the data acquisition electronics of the photomultiplier tubes and processes them to allow identifying events. The data was then used to determine the strength and positions of the interactions based on the logic of Anger to form a planar image that allows reconstruction of 2D image for medical diagnostics in a gamma camera in real time.…”

Section: Introductionmentioning

confidence: 99%

Real Time Monitoring of Diesel Engine Injector Waveforms for Accurate Fuel Metering and Control

Farooqi

Snyder

Anwar

2013

Journal of Control Science and Engineering

View full text Add to dashboard Cite

This paper presents the development, experimentation, and validation of a reliable and robust system to monitor the injector pulse generated by an engine control module (ECM) which can easily be calibrated for different engine platforms and then feedback the corresponding fueling quantity to the real-time computer in a closed-loop controller in the loop (CIL) bench in order to achieve optimal fueling. This research utilizes field programmable gate arrays (FPGA) and direct memory access (DMA) transfer capability to achieve high speed data acquisition and delivery. This work is conducted in two stages: the first stage is to study the variability involved in the injected fueling quantity from pulse to pulse, from injector to injector, between real injector stators and inductor load cells, and over different operating conditions. Different thresholds have been used to find out the best start of injection (SOI) threshold and the end of injection (EOI) threshold that capture the injector “on-time” with best reliability and accuracy. Second stage involves development of a system that interprets the injector pulse into fueling quantity. The system can easily be calibrated for various platforms. Finally, the use of resulting correction table has been observed to capture the fueling quantity with highest accuracy.

show abstract

2D image reconstruction with a FPGA-based architecture in a gamma camera application

Cited by 2 publications

References 6 publications

Evaluation of Single-Chip, Real-Time Tomographic Data Processing on FPGA SoC Devices

Evaluation of Single-Chip, Real-Time Tomographic Data Processing on FPGA SoC Devices

Real Time Monitoring of Diesel Engine Injector Waveforms for Accurate Fuel Metering and Control

Contact Info

Product

Resources

About