Diffusion methods for aligning medical datasets: location prediction in CT scan images

Med Image Anal. 2014 Feb;18(2):425-32. doi: 10.1016/j.media.2013.12.009. Epub 2014 Jan 8.

Abstract

The purpose of this study is to introduce diffusion methods as a tool to label CT scan images according to their position in the human body. A comparative study of different methods based on a k-NN search is carried out and we propose a new, simple and efficient way of applying diffusion techniques that is able to give better location forecasts than methods that can be considered the current state-of-the-art.

Keywords: Anisotropic diffusion; CT scan images; Diffusion distance; Diffusion methods; Misaligned data.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Anisotropy
  • Diffusion
  • Humans
  • Patient Positioning
  • Principal Component Analysis
  • Radiographic Image Interpretation, Computer-Assisted
  • Reproducibility of Results
  • Tomography, X-Ray Computed / methods*