Determining patient abdomen thickness from a single digital radiograph with a computational model: clinical results from a proof of concept study

Br J Radiol. 2020 Jul;93(1111):20200010. doi: 10.1259/bjr.20200010. Epub 2020 Apr 17.

Abstract

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.

MeSH terms

  • Abdomen / anatomy & histology
  • Abdomen / diagnostic imaging*
  • Aged
  • Aged, 80 and over
  • Computer Simulation*
  • Female
  • Humans
  • Male
  • Monte Carlo Method
  • Phantoms, Imaging
  • Proof of Concept Study
  • Radiography, Abdominal
  • Tomography, X-Ray Computed