This application addresses broad Challenge Area (05) Comparative Effectiveness Research and specific Challenge Topic, 05-EB-101: Comparative Effectiveness of Advanced Imaging Procedures. The use of multimodality PET/CT or SPECT/CT has increased substantially in recent years. The use of both an anatomical imaging modality and a functional one provides an extra image dataset for diagnosis, can improve the reconstruction of the functional data, and can help localize tracer uptake by registering the two images. There is little doubt in the medical imaging community that multimodality imaging is beneficial. However, this benefit has not been objectively demonstrated and quantitatively measured for many applications or potential applications. There are also increased risks associated with using a second modality, for example, the increased radiation dose when a CT scan is added to a PET imaging study. Clinical studies that would demonstrate that the advantages of multimodality imaging outweigh the risks and costs are expensive, time consuming, and may require large numbers of patients. Retrospective studies in this area are limited by the rapid advancements in the technology used for CT and nuclear-medicine imaging, which implies that data for such studies is in short supply. The goal of the proposed work is to develop and test new methods for objectively evaluating the benefits and risks associated with multimodality imaging systems so that patients and physicians can make informed decisions about their use. These new methods will provide an inexpensive way to evaluate and compare multimodality imaging systems using task-based measures. The techniques and software that we develop can then be used to generate information that clinical researcher can use to focus their efforts in clinical studies. The tools developed under this proposal will be made freely available so that other researchers can use them in the design and evaluation of multimodality imaging systems and protocols for a variety of tasks and applications.

Public Health Relevance

We will develop and validate methods that researchers can use to assess the benefits and risks associated with multimodality PET/CT and SPECT/CT imaging. The immediate impact of this work will be the availability of software for computing and comparing task performance using realistic models of imaging systems, relevant clinical tasks, and accurate patient models. This software will be made freely available so that other researchers can use it in the design and evaluation of multimodality imaging systems and protocols for a variety of tasks and applications.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
NIH Challenge Grants and Partnerships Program (RC1)
Project #
5RC1EB010974-02
Application #
7935298
Study Section
Special Emphasis Panel (ZRG1-SBIB-V (58))
Program Officer
Sastre, Antonio
Project Start
2009-09-30
Project End
2012-08-31
Budget Start
2010-09-01
Budget End
2012-08-31
Support Year
2
Fiscal Year
2010
Total Cost
$262,614
Indirect Cost
Name
University of Arizona
Department
Type
Other Domestic Higher Education
DUNS #
806345617
City
Tucson
State
AZ
Country
United States
Zip Code
85721
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
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
Lee, Chih-Jie; Kupinski, Matthew A; Volokh, Lana (2013) Assessment of cardiac single-photon emission computed tomography performance using a scanning linear observer. Med Phys 40:011906
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
Jha, Abhinav K; Rodríguez, Jeffrey J (2012) A Maximum-Likelihood Approach for ADC Estimation of Lesions in Visceral Organs. Proc IEEE Southwest Symp Image Anal Interpret 2012:21-24
Jha, Abhinav K; Kupinski, Matthew A; Rodríguez, Jeffrey J et al. (2012) Task-based evaluation of segmentation algorithms for diffusion-weighted MRI without using a gold standard. Phys Med Biol 57:4425-46
Clarkson, Eric (2012) Asymptotic ideal observers and surrogate figures of merit for signal detection with list-mode data. J Opt Soc Am A Opt Image Sci Vis 29:2204-16
Jha, Abhinav K; Kupinski, Matthew A; Barrett, Harrison H et al. (2012) Three-dimensional Neumann-series approach to model light transport in nonuniform media. J Opt Soc Am A Opt Image Sci Vis 29:1885-99
Jha, Abhinav K; Kupinski, Matthew A; Masumura, Takahiro et al. (2012) Simulating photon-transport in uniform media using the radiative transport equation: a study using the Neumann-series approach. J Opt Soc Am A Opt Image Sci Vis 29:1741-57

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