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Updated: Dec 24, 2025

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
Published on: June 7, 2024
Determining patient abdomen thickness from a single digital radiograph with a computational model: clinical results
Mark Worrall1, Sarah Vinnicombe2,3, David Sutton1
1Medical Physics, Ninewells Hospital and Medical School, Ninewells Avenue, Dundee, Scotland.
Objective:
A computational model has been created to estimate the abdominal thickness of a patient following an X-ray examination; its intended application is assisting with patient dose audit of paediatric X-ray examinations. This work evaluates the accuracy of the computational model in a clinical setting for adult patients undergoing anteroposterior (AP) abdomen X-ray examinations.
Methods:
The model estimates patient thickness using the radiographic image, the exposure factors with which the image was acquired, a priori knowledge of the characteristics of the X-ray unit and detector and the results of extensive Monte Carlo simulation of patient examinations. For 20 patients undergoing AP abdominal X-ray examinations, the model was used to estimate the patient thickness; these estimates were compared against a direct measurement made at the time of the examination.
Results:
Estimates of patient thickness made using the model were on average within ±5.8% of the measured thickness.
Conclusion:
The model can be used to accurately estimate the thickness of a patient undergoing an AP abdominal X-ray examination where the patient's size falls within the range of the size of patients used to create the computational model.
Advances In Knowledge:
This work demonstrates that it is possible to accurately estimate the AP abdominal thickness of an adult patient using the digital X-ray image and a computational model.

