2018
DOI: 10.18520/cs/v115/i6/1091-1097
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MRI Segmentation using Fuzzy C-Means and Radial Basis Function Neural Networks

Abstract: Image segmentation is one of the major preprocessing steps of magnetic resonance imaging (MRI) analysis in many medical and research applications. Accurate differentiation between three major soft tissues of the brain -grey matter, white matter and cerebrospinal fluid -is a key step in structural and functional brain analysis, visualization of the brain's anatomical structures and measurement, diagnosis of neurodegenerative disorders and image-guided interventions as well as surgical planning. We propose a new… Show more

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Cited by 3 publications
(3 citation statements)
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“…This not only contributes to understanding the efficacy of the therapy, and underlying mechanisms of the disease, but also ensures that clinically significant enhancement of functional outcomes are persistent. Considering this, neuroimaging modalities including structural and diffusion magnetic resonance imaging (MRI) and functional MRI (fMRI) are vital for identifying neuroplasticity [1, [19][20][21][22][23][24]. FMRI detects changes in blood flow (hemodynamic response) associated with neural activation of the brain [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…This not only contributes to understanding the efficacy of the therapy, and underlying mechanisms of the disease, but also ensures that clinically significant enhancement of functional outcomes are persistent. Considering this, neuroimaging modalities including structural and diffusion magnetic resonance imaging (MRI) and functional MRI (fMRI) are vital for identifying neuroplasticity [1, [19][20][21][22][23][24]. FMRI detects changes in blood flow (hemodynamic response) associated with neural activation of the brain [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…One possible alternative to applying the k-means algorithm is using instead the fuzzy C-means algorithm (FCM) introduced in [49], and extended in [4]. FCM has been successfully used in various applications (see, for example [1], [48]). FCM is based on the association of each cluster with a fuzzy set and with a membership function.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, fMRI is a neuroimaging tool employing MRI to image small changes in blood flow occurring with brain activity. In general, fMRI helps identify active areas of the brain, which are interactive in performing a particular function [14][15][16][17].…”
mentioning
confidence: 99%