Quantitative electron density CT imaging for radiotherapy planning

Jonathan H Mason (Lead / Corresponding author), Alessandro Perelli, William Nailon, Mike E. Davies

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Computed tomography (CT) is the imaging modality used to calculate the deposit of dose in radiotherapy planning, where the physical interactions are modelled based upon the electron density, which can be calculated from CT images. Traditionally this is a three step process: linearising the raw x-ray measurements and correcting for beam-hardening and scatter; inverting the system with analytic or iterative reconstruction algorithms into linear attenuation coefficient; then applying a non-linear calibration into electron density. In this work, we propose a new method for statistically inferring a quantitative image of electron density directly from the raw CT measurements, with no pre- or post-processing necessary, and able to cope with both beam-hardening from a single polyenergetic source and additive scatter. We evaluate this concept with cone-beam CT (CBCT) imaging for bladder cancer, where we demonstrate significantly higher electron density accuracy than other quantitative approaches. We also show through simulated photon and proton beam calculation, that our method may facilitate superior dose estimation, especially with regions containing bony structures.
Original languageEnglish
Title of host publicationMedical image understanding and analysis
Subtitle of host publication21st Annual Conference, MIUA 2017 Edinburgh, UK, July 11–13, 2017 Proceedings
EditorsMaria Valdes Hernandez, Victor Gonzalez-Castro
Number of pages12
ISBN (Electronic)978-3-319-60964-5
ISBN (Print)978-3-319-60963-8
Publication statusPublished - 2017
EventMedical Image Understanding and Analysis (MIUA) 2017 - John McIntyre Centre, Pollock Halls, Edinburgh, United Kingdom
Duration: 11 Jul 201713 Jul 2017

Publication series

NameCommunications in Computer and Information Science


ConferenceMedical Image Understanding and Analysis (MIUA) 2017
Abbreviated titleMIUA 2017
Country/TerritoryUnited Kingdom
Internet address


  • Computed tomography
  • Quantitative
  • Imaging
  • Statistical
  • Reconstruction
  • Radiotherapy
  • Proton therapy


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