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Journal of Biomedical Optics • new

Phantom-based image quality test methods for photoacoustic imaging systems
Author(s): William C. Vogt; Congxian Jia; Keith A. Wear; Brian S. Garra; T. Joshua Pfefer
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Paper Abstract

As photoacoustic imaging (PAI) technologies advance and applications arise, there is increasing need for standardized approaches to provide objective, quantitative performance assessment at various stages of the product development and clinical translation process. We have developed a set of performance test methods for PAI systems based on breast-mimicking tissue phantoms containing embedded inclusions. Performance standards for mature imaging modalities [magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound] were used to guide selection of critical PAI image quality characteristics and experimental methods. Specifically, the tests were designed to address axial, lateral, and elevational spatial resolution, signal uniformity, penetration depth, sensitivity, spatial measurement accuracy, and PAI-ultrasound coregistration. As an initial demonstration of the utility of these test methods, we characterized the performance of a modular, bimodal PAI-ultrasound system using four clinical ultrasound transducers with varying design specifications. Results helped to inform optimization of acquisition and data processing procedures while providing quantitative elucidation of transducer-dependent differences in image quality. Comparison of solid, tissue-mimicking polymer phantoms with those based on Intralipid indicated the superiority of the former approach in simulating real-world conditions for PAI. This work provides a critical foundation for the establishment of well-validated test methods that will facilitate the maturation of PAI as a medical imaging technology.

Paper Details

Date Published: 12 September 2017
PDF: 14 pages
J. Biomed. Opt. 22(9) 095002 doi: 10.1117/1.JBO.22.9.095002
Published in: Journal of Biomedical Optics Volume 22, Issue 9
Show Author Affiliations
William C. Vogt, U.S. Food and Drug Administration (United States)
Congxian Jia, U.S. Food and Drug Administration (United States)
Keith A. Wear, U.S. Food and Drug Administration (United States)
Brian S. Garra, U.S. Food and Drug Administration (United States)
T. Joshua Pfefer, U.S. Food and Drug Administration (United States)

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