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SU-E-I-104: Detector Lag Testing for Digital Radiography.

A Walz-Flannigan¹

¹Mayo Clinic, Rochester, MN.

Medical Physics

|May 19, 2017

Summary

This summary is machine-generated.

Detector lag in digital radiography (DR) systems varies significantly between vendors. This study quantifies lag properties to help identify systems prone to clinical image ghosting during acceptance testing.

Keywords:

Data analysis Digital radiography Image analysis Image detection systems Image sensors Medical imaging Radiography Testing procedures Visual medical imaging

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Area of Science:

Medical Physics
Radiological Imaging Technology

Background:

Signal lag is an intrinsic characteristic of digital radiography (DR) detectors.
The impact of signal lag on image quality and clinical appearance can differ across systems.

Purpose of the Study:

To establish context for detector lag testing during acceptance testing of DR detectors.
To present example lag data from diverse DR systems for benchmarking.
To enhance understanding of detector lag's impact on digital detector performance and clinical image ghosting.

Main Methods:

A standardized lag quantification method, based on IPEM report 32 part vii, was employed.
Six different vendor detector options were evaluated and compared.

Main Results:

Lag measurements were normalized using each system's signal transfer properties and presented normalized with exposure.
A wide range of lag responses were observed, even among identical hardware from different vendors.
Visual comparison of lag images highlighted system-specific variations.

Conclusions:

Clinical image ghosting is the definitive measure of detector lag performance.
Certain vendor systems exhibit a higher propensity for lag-induced ghosting.
A proposed normalization technique may not fully predict the clinical appearance of lag.