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 on our original goals of developing a single ended readout depth-of-interaction (DOI) detector design and the supporting electronics and event estimation algorithms. During that effort, we realized that Gieger-Muller Avalanche Photodiodes (GM-APD) offered an optimal readout scheme for our DOI approach. In this renewal application, we propose to further develop detector modules, electronics, and reconstruction algorithms to support a depth-of-interaction (DOI) detector design and supporting electronics (dMiCE). A major focus is on cost effective designs, and therefore our dMiCE module is based on a single- ended readout of light with light sharing between pairs of crystals to provide the DOI information. 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 segmented crystal module designs as well as better methods for optimization of our DOI approach implemented in field programmable gate arrays (FPGA) and application specific integrated circuits (ASIC). Another aspect of the work is to extend the DOI designs to investigate potential applications in time- of-flight (TOF) systems by utilizing DOI based TOF correction to improve the overall timing resolution of our detector/electronics designs. 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 optimize TOF performance for different detector module designs. This work is the foundation for new scanner designs to address biological research 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 specific human clinical applications such as neurology. The detectors, 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 #
5R01EB002117-12
Application #
8422871
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Sastre, Antonio
Project Start
2000-07-01
Project End
2014-12-31
Budget Start
2013-01-01
Budget End
2013-12-31
Support Year
12
Fiscal Year
2013
Total Cost
$324,423
Indirect Cost
$112,248
Name
University of Washington
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
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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
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
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:
Pierce, Larry; Miyaoka, Robert; Lewellen, Tom et al. (2012) Detector Position Estimation for PET Scanners. Nucl Instrum Methods Phys Res A 677:74-79
Champley, Kyle M; MacDonald, Lawrence R; Lewellen, Thomas K et al. (2011) DOI-based reconstruction algorithms for a compact breast PET scanner. Med Phys 38:1660-71
Dewitt, Don; Johnson-Williams, Nathan G; Miyaoka, Robert S et al. (2010) Design of an FPGA-Based Algorithm for Real-Time Solutions of Statistics-Based Positioning. IEEE Trans Nucl Sci 57:71-77
Shih, Y C; Sun, F W; Macdonald, L R et al. (2009) An 8x8 Row-Column Summing Readout Electronics for Preclinical Positron Emission Tomography Scanners. IEEE Nucl Sci Symp Conf Rec (1997) 2009:2376-2380
Johnson-Williams, Nathan G; Miyaoka, Robert S; Li, Xiaoli et al. (2009) Design of a Real Time FPGA-based Three Dimensional Positioning Algorithm. IEEE Nucl Sci Symp Conf Rec (1997) 2009:1082-3654
Champley, Kyle M; Lewellen, Thomas K; MacDonald, Lawrence R et al. (2009) Statistical LOR estimation for a high-resolution dMiCE PET detector. Phys Med Biol 54:6369-82

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