Journal article · Ahead of Print article
A Methodology for Anatomic Ultrasound Image Diagnostic Quality Assessment
This paper discusses methods for assessment of ultrasound image quality based on our experiences with evaluating new methods for anatomic imaging. It presents a methodology to ensure a fair assessment between competing imaging methods using clinically relevant evaluations. The methodology is valuable in the continuing process of method optimization and guided development of new imaging methods.
It includes a three phased study plan covering from initial prototype development to clinical assessment. Recommendations to the clinical assessment protocol, software, and statistical analysis are presented. Earlier uses of the methodology has shown that it ensures validity of the assessment, as it separates the influences between developer, investigator, and assessor once a research protocol has been established.
This separation reduces confounding influences on the result from the developer to properly reveal the clinical value. The paper exemplifies the methodology using recent studies of Synthetic Aperture Sequential Beamforming tissue harmonic imaging.
Language: | English |
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Publisher: | IEEE |
Year: | 2017 |
Pages: | 206-217 |
ISSN: | 15258955 and 08853010 |
Types: | Journal article and Ahead of Print article |
DOI: | 10.1109/TUFFC.2016.2639071 |
ORCIDs: | 0000-0001-6807-8347 , 0000-0002-9380-1688 and Jensen, Jørgen Arendt |
Image quality Imaging Medical services Optimization Protocols Prototypes Ultrasonic imaging
Clinical trials Humans Image Interpretation, Computer-Assisted Journal Article Phantoms, Imaging Quality Assurance, Health Care ROC Curve Ultrasonography anatomic ultrasound image diagnostic quality assessment biomedical ultrasonics clinical assessment diagnostics initial prototype development medical image processing medical ultrasound method optimization research protocol sequential beamforming tissue harmonic imaging statistical analysis synthetic aperture three phased study plan ultrasound image quality