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Review of consensus test methods in medical imaging and current practices in photoacoustic image quality assessment
- Source :
- Journal of Biomedical Optics
- Publication Year :
- 2021
- Publisher :
- SPIE-Intl Soc Optical Eng, 2021.
-
Abstract
- Significance: Photoacoustic imaging (PAI) is a powerful emerging technology with broad clinical applications, but consensus test methods are needed to standardize performance evaluation and accelerate translation. Aim: To review consensus image quality test methods for mature imaging modalities [ultrasound, magnetic resonance imaging (MRI), x-ray CT, and x-ray mammography], identify best practices in phantom design and testing procedures, and compare against current practices in PAI phantom testing. Approach: We reviewed scientific papers, international standards, clinical accreditation guidelines, and professional society recommendations describing medical image quality test methods. Observations are organized by image quality characteristics (IQCs), including spatial resolution, geometric accuracy, imaging depth, uniformity, sensitivity, low-contrast detectability, and artifacts. Results: Consensus documents typically prescribed phantom geometry and material property requirements, as well as specific data acquisition and analysis protocols to optimize test consistency and reproducibility. While these documents considered a wide array of IQCs, reported PAI phantom testing focused heavily on in-plane resolution, depth of visualization, and sensitivity. Understudied IQCs that merit further consideration include out-of-plane resolution, geometric accuracy, uniformity, low-contrast detectability, and co-registration accuracy. Conclusions: Available medical image quality standards provide a blueprint for establishing consensus best practices for photoacoustic image quality assessment and thus hastening PAI technology advancement, translation, and clinical adoption.
- Subjects :
- Paper
medicine.medical_specialty
Consensus
Standardization
Computer science
Image quality
Biomedical Engineering
phantoms
quality assurance
Imaging phantom
Biomaterials
Image Processing, Computer-Assisted
x-ray computed tomography
Medical imaging
medicine
Humans
Mammography
Medical physics
Image resolution
Review Papers
standardization
medicine.diagnostic_test
Phantoms, Imaging
ultrasound
business.industry
Reproducibility of Results
Magnetic Resonance Imaging
Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Visualization
performance testing
photoacoustics
business
Quality assurance
Subjects
Details
- ISSN :
- 10833668
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Journal of Biomedical Optics
- Accession number :
- edsair.doi.dedup.....8888345cf8a359195fbba814c5a847b6