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Segmentation of low contrast-to-noise ratio images applied to functional imaging using adaptive region growing

Cabello, J, Bailey, A, Kitchen, I, Guy, M and Wells, K (2009) Segmentation of low contrast-to-noise ratio images applied to functional imaging using adaptive region growing In: Medical Imaging 2009: Image Processing, 2009-02-09 - 2009-02-12, Lake Buena Vista, USA.

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Abstract

Segmentation in medical imaging plays a critical role easing the delineation of key anatomical functional structures in all the imaging modalities. However, many segmentation approaches are optimized with the assumption of high contrast, and then fail when segmenting poor contrast to noise objects. The number of approaches published in the literature falls dramatically when functional imaging is the aim. In this paper a feature extraction based approach, based on region growing, is presented as a segmentation technique suitable for poor quality (low Contrast to Noise Ratio CNR) images, as often found in functional images derived from Autoradiography. The region growing combines some modifications from the typical region growing method, to make the algorithm more robust and more reliable. Finally the algorithm is validated using synthetic images and biological imagery.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Cabello, JUNSPECIFIEDUNSPECIFIED
Bailey, AUNSPECIFIEDUNSPECIFIED
Kitchen, IUNSPECIFIEDUNSPECIFIED
Guy, MUNSPECIFIEDUNSPECIFIED
Wells, KUNSPECIFIEDUNSPECIFIED
Date : 9 February 2009
Identification Number : 10.1117/12.811325
Additional Information : Copyright 2009 Proc. SPIE 7259, Medical Imaging 2009: Image Processing. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. J. Cabello, A. Bailey, I. Kitchen, M. Guy, K. Wells, "Segmentation of low contrast-to-noise ratio images applied to functional imaging using adaptive region growing", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725940 (2009); doi:10.1117/12.811325
Depositing User : Symplectic Elements
Date Deposited : 24 Jan 2014 12:23
Last Modified : 11 Feb 2014 12:02
URI: http://epubs.surrey.ac.uk/id/eprint/804791

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