Fast processing of CBCT to improve delivered dose assessment

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

  • External authors:
  • Marta Peroni (Editor)
  • Alexander Schlaefer (Editor)
  • Wolfgang Berkfellner (Editor)
  • Chiara Gianoli (Editor)
  • Antje-Christin Knopf (Editor)

Abstract

In a previous work we developed an algorithm to improve the Hounsfield Unit accuracy of CBCT images based on prior information from a CT scan. However, the processing time required to run the algorithm may be a barrier to clinical implementation. Here we describe work to speed up two key processing steps: 3D binary morphological operations and image interpolation. Efficient binary morphological operators have been implemented in three dimensions using C++, extending the open source leptonica image processing library. Processing time comparisons have been made to implementations of three dimensional binary morphology available in ITK, MATLAB and IDL. The efficient implementations presented in this report have been found to require processing times up to three orders of magnitude shorter than the alternatives. Image downsampling has also been investigated as a method to enable faster processing. Downsampling images by a factor of 2.0 (4.0) can produce a speedup of 1.8x (3.4x) in a processing step that interpolates into masked regions of an image. Preliminary studies of the effect of downsampling on the quality of final processed images suggest that downsampling by a factor of 2.0 produces a negligible decrease in final processedimage quality. When used together these two developments can allow significantly faster processing of CBCT images.

Bibliographical metadata

Original languageEnglish
Title of host publicationICART: Imaging and Computer Assistance in Radiation Therapy
Subtitle of host publicationA workshop held on Friday 9th October as part of MICCAI 2015 in Munich, Germany
EditorsMarta Peroni, Alexander Schlaefer, Wolfgang Berkfellner, Chiara Gianoli, Antje-Christin Knopf
Pages153-160
Number of pages8
Publication statusPublished - Oct 2015
EventMedical Image Computing and Computer Assisted Interventions (MICCAI), Imaging and Computer Assistance in Radiation Therapy Workshop - Munich, Germany
Event duration: 5 Oct 20159 Oct 2015
http://https://www.miccai2015.org/https://hal.archives-ouvertes.fr/hal-01264358/file/Joshi.pdfhttp://spotscan.ch/MICCAI-ICART2015/

Conference

ConferenceMedical Image Computing and Computer Assisted Interventions (MICCAI), Imaging and Computer Assistance in Radiation Therapy Workshop
CityMunich, Germany
Period5/10/159/10/15
Internet address