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Flexible, ultrahigh-throughput and easy-implementing distributed coincidence processor for improving PET imaging performance

Award Number: R03EB032476
ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 01/01/2022
PERIOD OF PERFORMANCE END DATE: 11/30/2023

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Flexible, ultrahigh-throughput and easy-implementing distributed coincidence processor for improving PET imaging performance - This project aims to develop a new and innovative coincidence processor to overcome the limit and drawback of centralized coincidence processor (CCP) that has been used by many commercial and research Positron Emission Tomography (PET) scanners since the initial development of PET. Whereas CCP handles the entire task of PET coincidence event selection with a single complex central processor, similarly to a computer central processing unit (CPU), that it has the limited count-rate of processing coincidence data because of a single processor and it is too complex to implement online on a field-programmable-gate-array (FPGA) for many research groups without extensive expertise and resources, we propose to use a network of distributed coincidence processors (DCP) that work independently and in parallel to process coincidence data for each detector pair with its dedicated coincidence processor, similar to a graphics processing unit (GPU). By breaking a single complex system-level coincidence process into many simple detector-pair-level processes, DCP can significantly reduce the processing delay at each CP level and therefore increase the overall data throughput, even with a large number of detector pairs. The algorithm for coincidence event selection with a single detector pair is simple and can be easily implemented, tested with one detector pair and be straightforwardly replicated (or populated) to the rest. The goal of this proposed project is to design, implement, evaluate, enhance, and disseminate the proposed DCP technology. We will pursue three specific aims to achieve this project goal: (1) To design DCP technology, including the hardware infrastructure of DCP components and functions and firmware program to realize the design DCP components and functions on FPGA. (2) To implement DCP on a single FPGA board with 400 coincidence processors as a practical solution to a PET with small to medium number detector pairs, and on two FPGA boards with 50 coincidence processors on each board as an example of an expandable solution to a PET with a large number detector pairs; to evaluate DCP with pulsed signals and PET detectors, and enhance the DCP capability and performance with an iterative design and development process. 3) To document and disseminate DCP technology through publications and a website with downloadable technical documentations and firmware/software code. If successfully developed, DCP will provide a novel and different technology platform for coincidence processing to solve the problems with CCP. As a game changer, DCP can yield a very high count-rate PET online coincidence data acquisition far beyond the limit of what CCP can provide and can be implemented on FPGA with much less technical challenging than implementing CCP. By addressing the problems with CCP and providing the solutions to the research community, this project would have a transformative impact on improving the capability and performance of PET imaging and accelerating the development of new PET systems and technologies.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = -$9,038 )
2024	2023	THE UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER	5323 HARRY HINES BLVD	DALLAS	TX	75390	DALLAS	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	2	7/24/2024	NON-COMPETING CONTINUATION	-$9,038
														Subtotal = -$9,038

Issue Date FY: 2023 ( Subtotal = $82,000 )
2023	2023	UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER, THE	5323 HARRY HINES BLVD	DALLAS	TX	75390	DALLAS	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	2	2/3/2023	NON-COMPETING CONTINUATION	$8,200
2023	2023	UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER, THE	5323 HARRY HINES BLVD	DALLAS	TX	75390	DALLAS	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	2	11/7/2022	NON-COMPETING CONTINUATION	$73,800
														Subtotal = $82,000

Issue Date FY: 2022 ( Subtotal = $82,000 )
2022	2022	UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER, THE	5323 HARRY HINES BLVD	DALLAS	TX	75390	DALLAS	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	12/13/2021	NEW	$82,000
														Subtotal = $82,000

Grand Total All Awards = $154,962

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Flexible, ultrahigh-throughput and easy-implementing distributed coincidence processor for improving PET imaging performance

Award Number: R03EB032476

ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 01/01/2022

PERIOD OF PERFORMANCE END DATE: 11/30/2023

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