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Updated: Apr 30, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
Published on: September 11, 2011
Deriving target exposure indices for common radiography exams based on automatic exposures of flat-field phantoms
Matthew Hoerner1, Emily L Marshall2, Katie Hulme3
1Department of Radiology, Yale New Haven Health, New Haven, CT, USA.
Background:
The IEC exposure index (EI), deviation index (DI), and target exposure index (EIT), represent critical standardized metrics for the evaluation of exposure and quality in radiographic imaging.
Purpose:
This work develops and validates a systematic procedure to estimate the EIT for eight of the most common radiography imaging protocols utilizing automatic exposure control (AEC) from measurements acquired under reference conditions.
Methods:
A model was developed to define the relationship between a systems AEC logic, and an estimation of the EI under flat-field conditions (EIFFC). Separately, clinical data and acquisition protocol information for resultant EI during patient studies were also collected for the eight protocols studied: Chest posteroanterior (PA), Chest lateral, Abdomen anteroposterior (AP), Pelvis AP, L-Spine AP, C-Spine AP, T-Spine AP, and Ribs AP. Data were collected from 41 x-ray units spanning seven institutions. For each protocol on each unit the EIFFC was computed based on the acquisition protocol, as well as median EI from clinical exams to produce a scaling factor (SF). Kruskal-Wallis statistical tests were used to compare SF's between vendors and AEC cell configurations.
Results:
SFs for eight radiographic imaging protocols have been produced per vendor and per AEC cell selection. A workflow has been established for end-users to follow to apply these SFs to flat-field measurements taken at their own locations to establish local EIT.
Conclusions:
The study results show that in seven of the eight imaging protocols, the SFs for most units included in the study report SFs within 1 DI (± 25%) of their respective final vendor reported SF (218/228). The ribs protocol is the exception to this finding (n = 26). SFs have high utility for establishing EIT values on individual x-ray units and normalizing EI value distributions for quality assurance purposes.
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