Quantification of DCE-MRI: A validation of three techniques with 3D-histology

Karin Bol*, Joost C. Haeck, Lejla Alic, Wiro J. Niessen, Marion De Jong, Monique Bernsen, Jifke F. Veenland

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Three different DCE-MRI quantification methods: model-free-based, compartment-model-based and principal component analysis, are compared by evaluating parameter maps for histological defined volumes of vital and non-vital tumor tissue. To obtain an accurate spatial correspondence between histology and DCE-MRI, a two-step registration process was used involving dense histological sampling, a reference plane and an intermediate ex vivo MRI. Results show that the model-free parameter washout and the second principal component score can adequately separate vital from non-vital tumor tissue, with an accuracy of respectively 99.2% and 99.7%. The other model-free parameters and the compartment-model-based Ktrans show some overlap in values between vital and non-vital tissue. The first, third and fourth pc-score have limited discriminative power.

Original languageEnglish
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
Pages1044-1047
Number of pages4
DOIs
Publication statusPublished - 15 Aug 2012
Externally publishedYes
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: 2 May 20125 May 2012
Conference number: 9

Conference

Conference2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Abbreviated titleISBI 2012
CountrySpain
CityBarcelona
Period2/05/125/05/12

Keywords

  • DCE-MRI
  • histology
  • model-free analysis
  • Principal Component Analysis
  • standard Tofts model

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