Literature DB >> 15551103

Toward clinically relevant standardization of image quality.

Ehsan Samei1, Alan Rowberg, Ellie Avraham, Craig Cornelius.   

Abstract

In recent years, notable progress has been made on standardization of medical image presentations in the definition and implementation of the Digital Imaging and Communications in Medicine (DICOM) Grayscale Standard Display Function (GSDF). In parallel, the American Association of Physicists in Medicine (AAPM) Task Group 18 has provided much needed guidelines and tools for visual and quantitative assessment of medical display quality. In spite of these advances, however, there are still notable gaps in the effectiveness of DICOM GSDF to assure consistent and high-quality display of medical images. In additions the degree of correlation between display technical data and diagnostic usability and performance of displays remains unclear. This article proposes three specific steps that DICOM, AAPM, and ACR may collectively take to bridge the gap between technical performance and clinical use: (1) DICOM does not provide means and acceptance criteria to evaluate the conformance of a display device to GSDF or to address other image quality characteristics. DICOM can expand beyond luminance response, extending the measurable, quantifiable elements of TG18 such as reflection and resolution. (2) In a large picture archiving and communication system (PACS) installation, it is critical to continually track the appropriate use and performance of multiple display devices. DICOM may help with this task by adding a Device Service Class to the standard to provide for communication and control of image quality parameters between applications and devices, (3) The question of clinical significance of image quality metrics has rarely been addressed by prior efforts. In cooperation with AAPM, the American College of Radiology (ACR), and the Society for Computer Applications in Radiology (SCAR), DICOM may help to initiate research that will determine the clinical consequence of variations in image quality metrics (eg, GSDF conformance) and to define what constitutes image quality from a diagnostic perspective. Implementation of these three initiatives may further the reach and impact of DICOM toward quality medicine.

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Year:  2004        PMID: 15551103      PMCID: PMC3047179          DOI: 10.1007/s10278-004-1031-5

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  2 in total

1.  LCD and CRT display of storage phosphor plate and limited cone beam computed tomography images for the evaluation of root canal fillings.

Authors:  B Güniz Baksi; Elif Soğur; Hans-Göran Gröndahl
Journal:  Clin Oral Investig       Date:  2008-07-30       Impact factor: 3.573

2.  An image-based deep learning framework for individualizing radiotherapy dose.

Authors:  Bin Lou; Semihcan Doken; Tingliang Zhuang; Danielle Wingerter; Mishka Gidwani; Nilesh Mistry; Lance Ladic; Ali Kamen; Mohamed E Abazeed
Journal:  Lancet Digit Health       Date:  2019-06-27
  2 in total

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