This proposal focuses on development of technology that is suited for both ultra-high resolution animal imaging systems and other applications such as human breast and head imaging. An integral part of our work to date is the development of a highly modular approach to the detectors and supporting electronics. This approach assures that imaging resources built using the technology can easily adapt to the changing demands of the biological research. In the previous funding period we made considerable progress in developing new approaches for single-ended readout depth-of-interaction detectors. This effort included premising preliminary data using sub-surface laser engraving techniques to control the light sharing between shared crystals. The wealth of information from the detectors present a challenge in data collection electronics and to help solve that challenge we developed a new application specific integrated circuit (ASIC) with row/column and row/column/ summing to reduce the amount of required data to be collected without losing any of the basic detector data. In this renewal application, we propose to further develop detector modules, electronics, and FPGA firmware to support a depth-of-interaction (DOI) detector designs and supporting electronics. A major focus is on cost effective designs, and therefore our effort will focus on bot the SSLE work already started and a new generation of ASICs to eliminate all but power cables to the detectors (reducing cost, making system integration much simpler, and improving reliability) using advanced RF communication techniques. The overall goal is to achieve spatial resolutions < 1.0 mm with sensitivity in a typical small animal configuration of > 15%. The effort will include the development of maximum likelihood estimators for crystal-of-interaction and depth-of-interaction in both or discrete crystal and monolithic crystal detector designs at the detector level. The net result of our work will be contributions to the general knowledge of options for detector and electronics design for high-resolution detector systems as well as insight into methods to control light response functions in crystals using SSLE. The new ASIC will offer a wide variety of options for new systems by getting rid of the essentially all cables ad connectors between the detectors and supporting electronics. This work is developing for new scanner designs to address biological research and clinical needs.

Public Health Relevance

Imaging is increasingly being used for pre-clinical studies to improve the quality of data and decrease the time to acquire statistically significant data. This grant is developing new technologies to allow increasing the resolution and sensitivity of pre-clinical positron emission scanners. The technology can also be used to develop high-resolution PET scanners specific to human clinical applications such as neurology. The detectors, advanced electronics, and image reconstruction algorithms developed under this grant is yet another step in the advancement of medical imaging.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB002117-17
Application #
9599456
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Zubal, Ihor George
Project Start
2000-07-01
Project End
2020-11-30
Budget Start
2018-12-01
Budget End
2020-11-30
Support Year
17
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Washington
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Dey, Samrat; Rudell, Jacques C; Lewellen, Thomas K et al. (2017) A CMOS Front-End Interface ASIC for SiPM-based Positron Emission Tomography Imaging Systems. IEEE Biomed Circuits Syst Conf 2017:
Hunter, William C J; Miyaoka, Robert S; MacDonald, Lawrence et al. (2015) Light-Sharing Interface for dMiCE Detectors Using Sub-Surface Laser Engraving. IEEE Trans Nucl Sci 62:27-35
Pierce, L A; Hunter, W C J; Haynor, D R et al. (2014) Multiplexing strategies for monolithic crystal PET detector modules. Phys Med Biol 59:5347-60
Hunter, William C J; Miyaoka, Robert S; MacDonald, Lawrence et al. (2013) Light-Sharing Interface for dMiCE Detectors using Sub-Surface Laser Engraving. IEEE Nucl Sci Symp Conf Rec (1997) 2013:1-7
Li, Xiaoli; Alessio, Adam M; Burnett, Thompson H et al. (2013) Performance Evaluation of Small Animal PET Scanners With Different System Designs. IEEE Trans Nucl Sci 60:
Hunter, William C J; Barrett, Harrison H; Muzi, John P et al. (2013) SCOUT: a fast Monte-Carlo modeling tool of scintillation camera output. Phys Med Biol 58:3581-98
Hunter, William C J; Barrett, Harrison H; Lewellen, Tom K et al. (2013) Multiple-hit parameter estimation in monolithic detectors. IEEE Trans Med Imaging 32:329-37
Haselman, M D; Pasko, J; Hauck, S et al. (2012) FPGA-Based Pulse Pile-Up Correction With Energy and Timing Recovery. IEEE Trans Nucl Sci 59:
Li, Xiaoli; Hunter, William C J; Lewellen, Tom K et al. (2012) Use of Cramer-Rao Lower Bound for Performance Evaluation of Different Monolithic Crystal PET Detector Designs. IEEE Trans Nucl Sci 59:3-12
Pierce, Larry; Miyaoka, Robert; Lewellen, Tom et al. (2012) Detector Position Estimation for PET Scanners. Nucl Instrum Methods Phys Res A 677:74-79

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