Bat optimization based neuron model of stochastic resonance for the enhancement of MR images

• Autorzy: Singh M. , Verma A. , Sharma N.

Identyfikatory

DOI

10.1016/j.bbe.2016.10.006

• Języki publikacji: EN

Abstrakty

EN

Stochastic resonance (SR) performs the enhancement of the low in contrast image with the help of noise. The present paper proposes a modified neuron model based stochastic resonance approach applied for the enhancement of T1 weighted, T2 weighted, fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted imaging (DWI) sequences of magnetic resonance imaging. Multi objective bat algorithm has been applied to tune the parameters of the modified neuron model for the maximization of two competitive image performance indices contrast enhancement factor (F) and mean opinion score (MOS). The quality of processed image depends on the choice of these image performance indices rather the selection of SR parameters. The proposed approach performs well on enhancement of magnetic resonance (MR) images, as a result there is improvement in the gray-white matter differentiation and has been found helpful in the better diagnosis of MR images.

Słowa kluczowe

EN

neuron model; stochastic resonance; mesial temporal sclerosis; cortical dysplasia; image enhancement; bat algorithm; MR image

PL

model neuronowy; rezonans stochastyczny; stwardnienie skroniowe; dysplazja kory nadnerczy; poprawa obrazu; algorytm BAT; obrazowanie rezonansem magnetycznym

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2017
• Tom: Vol. 37, no. 1
• Strony: 124--134
• Opis fizyczny: Bibliogr. 36 poz., rys., tab., wykr.

Twórcy

autor

Singh M.

• School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, India

autor

Verma A.

• Department of Radiodiagnosis and Imaging, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India

autor

Sharma N.

• School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, India

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).