The long-term objective of this grant is to develop a rigorous theoretical and experimental framework for objective assessment of image quality and to apply it to the development and optimization of reconstruction algorithms and imaging systems for single-photon emission computed tomography (SPECT). We shall upgrade significantly our computational capabilities and apply this new power to fundamental issues of relevance not only to SPECT but to the broader field of image science. A Beowuif cluster will be implemented for parallel image reconstruction, simulation of objects and images, computation of figures of merit for image quality and systematic, task-based optimization of imaging systems. New methods for experimental determination of object statistics from clinical images will be developed, with emphasis on statistical models related to wavelet filters, and parallel computational techniques will be devised for simulating realistic SPECT images consistent with these models. New methods of computing figures of merit for detection and classification tasks will be developed and validated by psychophysical studies. New reconstruction algorithms based on listmode data will be developed, along with parallel algorithms for real-time reconstruction of SPECT images during acquisition. Hardware configurations for data acquisition in SPECT will be evaluated and optimized with respect to task performance, and a comprehensive theory of artifacts in tomographic imaging will be developed.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Method to Extend Research in Time (MERIT) Award (R37)
Project #
5R37EB000803-20
Application #
8018988
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Sastre, Antonio
Project Start
1990-07-01
Project End
2012-03-31
Budget Start
2011-02-01
Budget End
2012-03-31
Support Year
20
Fiscal Year
2011
Total Cost
$469,977
Indirect Cost
Name
University of Arizona
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
806345617
City
Tucson
State
AZ
Country
United States
Zip Code
85721
Barrett, Harrison H; Alberts, David S; Woolfenden, James M et al. (2016) Therapy operating characteristic curves: tools for precision chemotherapy. J Med Imaging (Bellingham) 3:023502
Barrett, Harrison H; Myers, Kyle J; Caucci, Luca (2014) RADIANCE AND PHOTON NOISE: Imaging in geometrical optics, physical optics, quantum optics and radiology. Proc SPIE Int Soc Opt Eng 9193:
Jha, Abhinav K; Clarkson, Eric; Kupinski, Matthew A (2013) An ideal-observer framework to investigate signal detectability in diffuse optical imaging. Biomed Opt Express 4:2107-23
Barrett, Harrison H; Kupinski, Matthew A; Müeller, Stefan et al. (2013) Objective assessment of image quality VI: imaging in radiation therapy. Phys Med Biol 58:8197-213
Huang, Jinxin; Clarkson, Eric; Kupinski, Matthew et al. (2013) Maximum-likelihood estimation in Optical Coherence Tomography in the context of the tear film dynamics. Biomed Opt Express 4:1806-16
Jha, Abhinav K; Clarkson, Eric; Kupinski, Matthew A et al. (2013) Joint reconstruction of activity and attenuation map using LM SPECT emission data. Proc SPIE Int Soc Opt Eng 8668:
Kupinski, Meredith K; Clarkson, Eric W; Barrett, Harrison H (2013) Scanning linear estimation: improvements over region of interest (ROI) methods. Phys Med Biol 58:1283-301
Jha, Abhinav K; van Dam, Herman T; Kupinski, Matthew A et al. (2013) Simulating Silicon Photomultiplier Response to Scintillation Light. IEEE Trans Nucl Sci 30:336-351
Huang, Jinxin; Lee, Kye-sung; Clarkson, Eric et al. (2013) Phantom study of tear film dynamics with optical coherence tomography and maximum-likelihood estimation. Opt Lett 38:1721-3
Sakamoto, Julia A; Barrett, Harrison H (2012) Maximum-likelihood estimation of parameterized wavefronts from multifocal data. Opt Express 20:15928-44

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