Restoration of intensity uniformity of bi-contrast MRI data with bayesian co-occurrence coring

Stathis Hadjidemetriou, Marios Nikos Psychogios, Paul Lingor, Kajetan von Eckardstein, Ismini Papageorgiou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The reconstruction in MRI assumes a uniform radiofrequency field. However, this is violated, which leads to anatomically inconsequential intensity non-uniformities. An anatomic region can be imaged with multiple contrasts that result in different non-uniformities. A method is presented for the joint intensity uniformity restoration of two such images. The effect of the intensity distortion on the auto-co-occurrence statistics of each image as well as on the joint-co-occurrence statistics of the two images is modeled. Their non-stationary deconvolution gives Bayesian coring estimates of the images. Further constraints for smoothness, stability, and validity of the non-uniformity estimates are also imposed. The effectiveness and accuracy of the method has been demonstrated extensively with both BrainWeb phantom images as well as with real brain anatomic data of 29 Parkinson’s disease patients.

Original languageEnglish
Title of host publicationMedical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings
EditorsVictor Gonzalez-Castro, Maria Valdes Hernandez
PublisherSpringer Verlag
Pages616-628
Number of pages13
ISBN (Print)9783319609638
DOIs
StatePublished - 2017
Externally publishedYes
Event21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017 - Edinburgh, United Kingdom
Duration: 11 Jul 201713 Jul 2017

Publication series

NameCommunications in Computer and Information Science
Volume723
ISSN (Print)1865-0929

Conference

Conference21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017
Country/TerritoryUnited Kingdom
CityEdinburgh
Period11/07/1713/07/17

Keywords

  • Bayesian coring estimate
  • Bi-contrast MRI reconstruction
  • Co-occurrence statistics

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