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Related Experiment Video

Updated: Jun 1, 2026

Troubleshooting FoCUS Image Acquisition: Patient Positioning, Transducer Manipulation, and Image Optimization

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Practical guidelines for radiographers to improve computed radiography image quality.

¹Faculty of Medical Technology, Mahidol University, Bangkok, Thailand.

Biomedical Imaging and Intervention Journal

|June 1, 2011

Summary

Computed Radiography (CR) systems enhance digital imaging by using photostimulable phosphor plates. Understanding CR technology and implementing quality control are crucial for optimizing digital medical images.

Keywords:

Computed radiography image quality quality control

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Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

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Published on: April 7, 2023

Area of Science:

Medical Imaging
Radiologic Technology
Digital Health

Background:

Computed Radiography (CR) represents a significant digital imaging modality in modern radiology departments.
CR systems transition workflows from traditional film/screen methods using photostimulable phosphor plate technology.
This technological shift introduces new considerations for technical aspects, artifacts, and quality control in radiology.

Purpose of the Study:

To highlight the importance of understanding technological shifts in Computed Radiography (CR).
To emphasize the role of quality control and user guidelines in optimizing digital medical images.
To outline essential practices for achieving high-quality CR images.

Main Methods:

Review of Computed Radiography (CR) principles and its impact on radiological workflows.
Analysis of technical, artifact, and quality control issues associated with CR implementation.
Examination of best practices for image optimization, including collimation, exposure techniques, and image processing.

Main Results:

CR technology necessitates a re-evaluation of technical parameters and quality control measures.
Adherence to professional guidelines and robust quality control programs are vital for optimal clinical images.
Effective CR image optimization relies on proper anatomic collimation, exposure settings, and anatomy-specific image processing.

Conclusions:

Successful transition to digital radiology requires radiographers skilled in utilizing CR technology.
A comprehensive quality control program and departmental teamwork are essential for maximizing the benefits of digital imaging.
Understanding and applying CR-specific optimization techniques are key to producing high-quality diagnostic images.