Modified fuzzy c-means clustering for automatic tongue base tumour extraction from MRI data

Doshi, Trushali and Soraghan, John and Grose, Derek and MacKenzie, Kenneth and Petropoulakis, Lykourgos; (2014) Modified fuzzy c-means clustering for automatic tongue base tumour extraction from MRI data. In: 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO). IEEE, PRT, 2460 - 2464. ISBN 9780992862619 (https://ieeexplore.ieee.org/xpl/articleDetails.jsp...)

[thumbnail of Doshi-etal-EUSIPCO2014-automatic-tongue-base-tumour-extraction] PDF. Filename: Doshi_etal_EUSIPCO2014_automatic_tongue_base_tumour_extraction.pdf
Accepted Author Manuscript
Download (992kB)

Abstract

Magnetic resonance imaging (MRI) is a widely used imaging modality to extract tumour regions to assist in radiotherapy and surgery planning. Extraction of a tongue base tumour from MRI is challenging due to variability in its shape, size, intensities and fuzzy boundaries. This paper presents a new automatic algorithm that is shown to be able to extract tongue base tumour from gadolinium-enhanced T1-weighted (T1+Gd) MRI slices. In this algorithm, knowledge of tumour location is added to the objective function of standard fuzzy c-means (FCM) to extract the tumour region. Experimental results on 9 real MRI slices demonstrate that there is good agreement between manual and automatic extraction results with dice similarity coefficient (DSC) of 0.77±0.08.

ORCID iDs

Doshi, Trushali ORCID logoORCID: https://orcid.org/0000-0002-6556-112X, Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391, Grose, Derek, MacKenzie, Kenneth and Petropoulakis, Lykourgos ORCID logoORCID: https://orcid.org/0000-0003-3230-9670;
CORE (COnnecting REpositories)