Next Article in Journal
Extracting Co-Occurrence Relations from ZDDs
Next Article in Special Issue
Algorithms for Non-Negatively Constrained Maximum Penalized Likelihood Reconstruction in Tomographic Imaging
Previous Article in Journal
Testing Goodness of Fit of Random Graph Models
Previous Article in Special Issue
Recognition of Pulmonary Nodules in Thoracic CT Scans Using 3-D Deformable Object Models of Different Classes
Article Menu

Article Versions

Export Article

Open AccessArticle
Algorithms 2012, 5(4), 636-653; doi:10.3390/a5040636

Edge Detection from MRI and DTI Images with an Anisotropic Vector Field Flow Using a Divergence Map

Scientific Didactic Polo of Rimini, University of Bologna, Via Anghera 22 Rimini, Italy
Received: 31 July 2012 / Revised: 5 November 2012 / Accepted: 3 December 2012 / Published: 13 December 2012
(This article belongs to the Special Issue Machine Learning for Medical Imaging)
View Full-Text   |   Download PDF [1412 KB, uploaded 13 December 2012]   |  

Abstract

The aim of this work is the extraction of edges from Magnetic Resonance Imaging (MRI) and Diffusion Tensor Imaging (DTI) images by a deformable contour procedure, using an external force field derived from an anisotropic flow. Moreover, we introduce a divergence map in order to check the convergence of the process. As we know from vector calculus, divergence is a measure of the magnitude of a vector field convergence at a given point. Thus by means level curves of the divergence map, we have automatically selected an initial contour for the deformation process. If the initial curve includes the areas from which the vector field diverges, it will be able to push the curve towards the edges. Furthermore the divergence map highlights the presence of curves pointing to the most significant geometric parts of boundaries corresponding to high curvature values. In this way, the skeleton of the extracted object will be rather well defined and may subsequently be employed in shape analysis and morphological studies. View Full-Text
Keywords: DTI; MRI; edge extraction; active contour; GGVF; anisotropic diffusion; divergence map DTI; MRI; edge extraction; active contour; GGVF; anisotropic diffusion; divergence map
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Giuliani, D. Edge Detection from MRI and DTI Images with an Anisotropic Vector Field Flow Using a Divergence Map. Algorithms 2012, 5, 636-653.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top