Publications

wxDicom includes a number of different novel research algorithms. If you use wxDicom as part of your research, or any other project which you are writing up in some way, please cite the web address for the software, which is:

https://mi.eng.cam.ac.uk/Main/GMT_wxDicom

You should also cite a paper or papers appropriate to the features you are using.

Reduction of artefacts due to metal in CT data

[1] describes this technique, referred to as Refined Metal Artefact Reduction (RMAR), though the software includes some small improvements on the original version.

  1. G. Treece. Refinement of clinical X-ray computed tomography (CT) scans containing metal implants. Computerized Medical Imaging and Graphics, Vol. 56, pp. 11-23, March 2017.

Removal of noise from images

[1] describes the original Bitonic Filter, which is a technique based on mathematical morphology to reduce noise (any signal which is not bitonic over a particular range) in images, [2] describes the extension to a more flexible structurally varying approach, and [3] a further, and much higher performance, extension to a locally-adaptive version (Bitonic MX).

  1. G. M. Treece. The bitonic filter: linear filtering in an edge-preserving morphological framework. IEEE Transactions on Image Processing, Vol. 25, No. 11, pp. 5199-5211, November 2016.
  2. G. M. Treece. Morphology-based Noise Reduction: Structural Variation and Thresholding in the Bitonic Filter. IEEE Transactions on Image Processing, Vol. 29, pp. 336-350, 2020.
  3. G. M. Treece. Real image denoising with a locally-adaptive bitonic filter. Technical report ENG-TR.006, Cambridge University Department of Engineering, September 2021.