Title
Quantification of DCE-MRI: A validation of three teahniques with 3D-histology
Author
Bol, K.
Haeck, J.C.
Alić, L.
Niessen, W.J.
de Jong, M.
Bernsen, M.D.
Veenland, J.F.
Publication year
2012
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.
Subject
Physics & Electronics
II - Intelligent Imaging
TS - Technical Sciences
High Tech Systems & Materials
Image processing
Industrial Innovation
DCE-MRI
Principal Component Analysis
Histology
Model-free analysis
Standard Tofts model
biomedical MRI
Image registration
Image sampling
Medical image processing
Principal component analysis
Tumours
To reference this document use:
http://resolver.tudelft.nl/uuid:64e165dd-d950-4f65-bbc7-8a0dad29eb9e
DOI
https://doi.org/10.1109/isbi.2012.6235737
TNO identifier
485124
Publisher
IEEE, Piscataway, NJ
Source
IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, May 2-5, 2012, Barcelona, Spain., 1044-1047
Document type
conference paper