? The objective of the proposed research is to develop a rigorous theoretical and experimental framework for the objective assessment of image quality when the tasks in question are medically relevant estimation tasks. We propose to apply this framework to compare different configurations of a specific SPECT (single photon emission computed tomography) imaging system being developed by our collaborators and to optimize the parameters of this system. We will focus on the task of locating small tumors or other focal objects such as sentinel lymph nodes and the task of estimating integrated tumor activity. We envision three stages in the development of a system optimized for a specific task such as tumor-location estimation. The first stage is the simulation of the entire system to determine optimal parameters. The second stage is the validation of the design by building a small system and using it for phantom or small-animal imaging studies. The final stage is to build a full-sized system for human studies. The work we propose will develop methods for addressing the first stage in this process and will result in the ability to design medical imaging systems that maximize observer performance on estimation tasks. For the second stage, we will apply these methods to the tasks of estimating tumor location and integrated tumor activity using newly designed phantoms and experimental data from a small-animal SPECT system. We will not address the third stage of system optimization in this proposal. We will treat estimation tasks in a general, mathematical sense that will allow us to rapidly extend our work to other imaging modalities (including human imaging systems) and to other estimation tasks without difficulty. Ultimately, this research will result in imaging systems that improve the diagnosis and treatment of patients. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB002146-03
Application #
7098061
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Haller, John W
Project Start
2004-08-01
Project End
2008-07-31
Budget Start
2006-08-01
Budget End
2008-07-31
Support Year
3
Fiscal Year
2006
Total Cost
$230,172
Indirect Cost
Name
University of Arizona
Department
Type
Other Domestic Higher Education
DUNS #
806345617
City
Tucson
State
AZ
Country
United States
Zip Code
85721
Clarkson, Eric; Kupinski, Matthew A (2009) Global Compartmental Pharmacokinetic Models for Spatiotemporal SPECT and PET Imaging. SIAM J Imaging Sci 2:203-225
Palit, Robin; Kupinski, Matthew A; Barrett, Harrison H et al. (2009) Singular Value Decomposition of Pinhole SPECT Systems. Proc SPIE Int Soc Opt Eng 7263:
Cobb, Jared Guthrie; Paschal, Cynthia B (2009) Improved in vivo measurement of myocardial transverse relaxation with 3 Tesla magnetic resonance imaging. J Magn Reson Imaging 30:684-9
Freed, Melanie; Kupinski, Matthew A; Furenlid, Lars R et al. (2008) A prototype instrument for single pinhole small animal adaptive SPECT imaging. Med Phys 35:1912-25
Clarkson, Eric; Kupinski, Matthew A; Barrett, Harrison H et al. (2008) A Task-Based Approach to Adaptive and Multimodality Imaging: Computation techniques are proposed for figures-of-merit to establish feasibility and optimize use of multiple imaging systems for disease diagnosis and treatment-monitoring. Proc IEEE Inst Electr Electron Eng 96:500-511
Hesterman, Jacob Y; Kupinski, Matthew A; Furenlid, Lars R et al. (2007) The multi-module, multi-resolution system (M3R): a novel small-animal SPECT system. Med Phys 34:987-93
Clarkson, Eric (2007) Estimation receiver operating characteristic curve and ideal observers for combined detection/estimation tasks. J Opt Soc Am A Opt Image Sci Vis 24:B91-8
Hagen, Nathan; Kupinski, Matthew; Dereniak, Eustace L (2007) Gaussian profile estimation in one dimension. Appl Opt 46:5374-83
Hesterman, Jacob Y; Kupinski, Matthew A; Clarkson, Eric et al. (2007) Hardware assessment using the multi-module, multi-resolution system (M3R): a signal-detection study. Med Phys 34:3034-44
Kupinski, Matthew A; Clarkson, Eric; Barrett, Harrison H (2006) A probabilistic model for the MRMC method, part 2: validation and applications. Acad Radiol 13:1422-30

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