Journal article Open Access

Implementation of Iterative bilateral filtering for removal of Rician noise in MR images using FPGA

Durga Pathrikar; V. N. Jirafe


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://zenodo.org/record/5843028</identifier>
  <creators>
    <creator>
      <creatorName>Durga Pathrikar</creatorName>
      <affiliation>Department of Electronics and  Telecommunication, PES's Modern College of Engineering, Pune, India.</affiliation>
    </creator>
    <creator>
      <creatorName>V. N. Jirafe</creatorName>
      <affiliation>Professor, Department of Electronics and  Telecommunication, PES's Modern College of Engineering, Pune, India.</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Implementation of Iterative bilateral filtering for  removal of Rician noise in MR images using FPGA</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Iterative Bilateral Filtering, MRI, Rician Noise, FPGA</subject>
    <subject subjectScheme="issn">2277-3878</subject>
    <subject subjectScheme="doi">10.35940/ijrte.C4351.099320</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Sponsor">
      <contributorName>Blue Eyes Intelligence Engineering  and Sciences Publication(BEIESP)</contributorName>
      <affiliation>Publisher</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2020-09-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5843028</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="ISSN" relationType="IsCitedBy" resourceTypeGeneral="JournalArticle">2277-3878</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.35940/ijrte.C4351.099320</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Magnetic resonance image noise reduction is important to process further and visual analysis. Bilateral filter is denoises image and also preserves edge. It proposes Iterative bilateral filter which reduces Rician noise in the magnitude magnetic resonance images and retains the fine structures, edges and it also reduces the bias caused by Rician noise. The visual and diagnostic quality of the image is retained. The quantitative analysis is based on analysis of standard quality metrics parameters like peak signal-to-noise ratio and mean structural similarity index matrix reveals that these methods yields better results than the other proposed denoising methods for MRI. Problem associated with the method is that it is computationally complex hence time consuming. It is not recommended for real time applications. To use in real time application a parallel implantation of the same using FPGA is proposed.&lt;/p&gt;</description>
  </descriptions>
</resource>
40
15
views
downloads
Views 40
Downloads 15
Data volume 10.9 MB
Unique views 31
Unique downloads 15

Share

Cite as