Effect of image transformations on dynamic stochastic resonance based MR image enhancement

Munendra Singh, Neeraj Sharma, Ashish Verma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Dynamic Stochastic Resonance (DSR) utilizes the noise associated with the image itself to enhance the image quality. This paper analyzes the effects of Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) of image, which works as the input to bi-stable nonlinear system exhibiting DSR. The study performed on T1, fluid-attenuated inversion recovery (FLAIR) and diffusion weighted sequences of Magnetic Resonance Imaging (MRI). The images were quantified in terms of contrast enhancement factor and image anisotropy. The results show that DSR based image enhancement is helpful to obtain better tissue differentiation. The DCT based DSR produces better enhancement for diffusion-weighted images whereas DWT and SVD based DSR produces better enhancement of T1 and FLAIR weighted magnetic resonance images.

Original languageEnglish
Title of host publicationProceedings of 2017 4th International Conference on Electronics and Communication Systems, ICECS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509033553
DOIs
Publication statusPublished - 13-10-2017
Event4th International Conference on Electronics and Communication Systems, ICECS 2017 - Coimbatore, India
Duration: 24-02-201725-02-2017

Publication series

NameProceedings of 2017 4th International Conference on Electronics and Communication Systems, ICECS 2017

Conference

Conference4th International Conference on Electronics and Communication Systems, ICECS 2017
CountryIndia
CityCoimbatore
Period24-02-1725-02-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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