Skip to main navigation Skip to search Skip to main content

The evaluation of correction algorithms of intensity nonuniformity in breast MRI images: A phantom study

  • Silesian University of Technology
  • Maria Sklodowska-Curie Institute of Oncology

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

1 Citation (Scopus)

Abstract

The aim of this work was to test the most popular and essential algorithms of the intensity nonuniformity correction of the breast MRI imaging. In this type of MRI imaging, especially in the proximity of the coil, the signal is strong but also can produce some inhomogeneities. Evaluated methods of signal correction were: N3, N3FCM, N4, Nonparametric, and SPM. For testing purposes, a uniform phantom object was used to obtain test images using breast imaging MRI coil. To quantify the results, two measures were used: integral uniformity and standard deviation. For each algorithm minimum, average and maximum values of both evaluation factors have been calculated using the binary mask created for the phantom. In the result, two methods obtained the lowest values in these measures: N3FCM and N4, however, for the second method visually phantom was the most uniform after correction.

Original languageEnglish
Title of host publicationTenth International Conference on Machine Vision, ICMV 2017
EditorsJianhong Zhou, Antanas Verikas, Dmitry Nikolaev, Petia Radeva
PublisherSPIE
ISBN (Electronic)9781510619418
DOIs
Publication statusPublished - 2018
Event10th International Conference on Machine Vision, ICMV 2017 - Vienna, Austria
Duration: 13 Nov 201715 Nov 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10696
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference10th International Conference on Machine Vision, ICMV 2017
Country/TerritoryAustria
CityVienna
Period13/11/1715/11/17

Keywords

  • MRI
  • integral uniformity
  • nonuniformity correction
  • phantom

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'The evaluation of correction algorithms of intensity nonuniformity in breast MRI images: A phantom study'. Together they form a unique fingerprint.

Cite this