Developing a tool for the validation of quantitative DCE-MRI

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

*Corresponding author for this work

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

2 Citations (Scopus)
8 Downloads (Pure)


Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is becoming an indispensable tool to non-invasively study tumor characteristics. However, many different DCE-analysis methods are currently being used. To compare and validate different methods, histology is the gold standard. For this purpose, exact co-localization between histology and MRI images is a prerequisite. In this study a methodology is developed to validate DCE-data with histology with an emphasis on correct registration of DCE-MRI and histological data. A pancreatic tumor was grown in a rat model. The tumor was dissected after MR imaging, embedded in paraffin, and cut into thin slices. These slices were stained with haematoxylin and eosin, digitized and stacked in a 3D volume. Next, the 3D histology was registered to exvivo SWI-weighted MR images, which in turn were registered to in-vivo SWI and DCE images to achieve correct colocalization. Semi-quantitative and quantitative parameters were calculated. Preliminary results suggest that both pharmacokinetic and heuristic DCE-parameters can discriminate between vital and non-vital tumor regions. The developed method offers the basis for an accurate spatial correlation between DCE-MRI derived parametric maps and histology, and facilitates the evaluation of different DCE-MRI analysis methods.

Original languageEnglish
Title of host publicationMedical Imaging 2011
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
Publication statusPublished - 16 May 2011
Externally publishedYes
EventSPIE Medical Imaging 2011 - Lake Buena Vista, United States
Duration: 12 Feb 201117 Feb 2011


ConferenceSPIE Medical Imaging 2011
Country/TerritoryUnited States
CityLake Buena Vista


  • DCE-analysis
  • Histology
  • Pharmacokinetic modeling
  • Quantitative
  • Registration
  • Semi-quantitative
  • Two-compartment model


Dive into the research topics of 'Developing a tool for the validation of quantitative DCE-MRI'. Together they form a unique fingerprint.

Cite this