Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Identification of body fat tissues in MRI data

Ilea, Dana E., Ghita, Ovidiu, Robinson, Kevin, Sadleir, Robert J.T., Lynch, Michael, Brennan, Darren and Whelan, Paul F. orcid logoORCID: 0000-0001-9230-7656 (2004) Identification of body fat tissues in MRI data. In: OPTIM 2004 - 9th International Conference on Optimization of Electrical and Electronic Equipment, 20-21 May 2004, Brasov, Romania.

Abstract
In recent years non-invasive medical diagnostic techniques have been used widely in medical investigations. Among the various imaging modalities available, Magnetic Resonance Imaging is very attractive as it produces multi-slice images where the contrast between various types of body tissues such as muscle, ligaments and fat is well defined. The aim of this paper is to describe the implementation of an unsupervised image analysis algorithm able to identify the body fat tissues from a sequence of MR images encoded in DICOM format. The developed algorithm consists of three main steps. The first step pre-processes the MR images in order to reduce the level of noise. The second step extracts the image areas representing fat tissues by using an unsupervised clustering algorithm. Finally, image refinements are applied to reclassify the pixels adjacent to the initial fat estimate and to eliminate outliers. The experimental data indicates that the proposed implementation returns accurate results and furthermore is robust to noise and to greyscale in-homogeneity.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:image analysis; MRI; body fat; image de-noising; image segmentation; clustering; region growing;
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:4679
Deposited On:07 Jul 2009 10:52 by DORAS Administrator . Last Modified 16 Jan 2019 13:18
Documents

Full text available as:

[thumbnail of DG_OPTIM_2004.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
606kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record