학술논문
Modified fuzzy c-means clustering for automatic tongue base tumour extraction from MRI data
Document Type
Conference
Source
2014 22nd European Signal Processing Conference (EUSIPCO) Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European. :2460-2464 Sep, 2014
Subject
Language
ISSN
2219-5491
2076-1465
2076-1465
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.