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Rallabandi, VPS and Roy, PK (2008) Stochastic Resonance-Based Tomographic Transform for Computed Tomographic Image Enhancement of Brain Lesions. Send to J Comput Assist Tomogr, 32 (6). pp. 966-974.

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Abstract

Motivated by statistical thermodynamics, we develop a technique using stochastic resonance-based tomographic transform for enhancement of noisy or indistinct computer-assisted tomographic images of the brain lesions for radiological diagnosis. The proposed method makes the edges of the lesion prominent, delineates the edematous zones more clearly, enhances the active zone in tumors, and clarifies the latent structure of the lesions, the mean enhancement index being 165%. The advantages of this method are that it can simultaneously operate both as an enhancement process and as a noise-reduction operation, and that the method can also optimally enhance an image even if the noise level is considerable. A general approach of thermodynamics-based image enhancement for computed tomographic diagnosis is outlined.

Item Type: Article
Subjects: Neurodegenerative Disorders
Neuro-Oncological Disorders
Neurocognitive Processes
Neuronal Development and Regeneration
Informatics and Imaging
Genetics and Molecular Biology
Depositing User: Dr. D.D. Lal
Date Deposited: 16 May 2018 05:53
Last Modified: 20 May 2018 04:46
URI: http://nbrc.sciencecentral.in/id/eprint/391

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