Literature DB >> 27992334

A Methodology for Anatomic Ultrasound Image Diagnostic Quality Assessment.

Martin Christian Hemmsen, Theis Lange, Andreas Hjelm Brandt, Michael Bachmann Nielsen, Jorgen Arendt Jensen.   

Abstract

This paper discusses the methods for the 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. This paper exemplifies the methodology using recent studies of synthetic aperture sequential beamforming tissue harmonic imaging.

Mesh:

Year:  2016        PMID: 27992334     DOI: 10.1109/TUFFC.2016.2639071

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  3 in total

1.  Ultrasound Open Platforms for Next-Generation Imaging Technique Development.

Authors:  Enrico Boni; Alfred C H Yu; Steven Freear; Jorgen Arendt Jensen; Piero Tortoli
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-07       Impact factor: 2.725

2.  The Application of Ultrasound Image in Cancer Diagnosis.

Authors:  Xiaoli Wang; Mei Yang
Journal:  J Healthc Eng       Date:  2021-11-09       Impact factor: 2.682

Review 3.  Telesonography in emergency medicine: A systematic review.

Authors:  Genevieve Marsh-Feiley; Leila Eadie; Philip Wilson
Journal:  PLoS One       Date:  2018-05-03       Impact factor: 3.240

  3 in total

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