Title :
Quantification of DCE-MRI: A validation of three techniques with 3D-histology
Author :
Bol, Karin ; Haeck, Joost C. ; Alic, Lejla ; Niessen, Wiro J. ; De Jong, Marion ; Bernsen, Monique ; Veenland, Jifke F.
Author_Institution :
BIGR - Biomed. Imaging Group Rotterdam, Erasmus MC, Rotterdam, Netherlands
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.
Keywords :
biomedical MRI; image registration; image sampling; medical image processing; principal component analysis; tumours; 3D-histology; DCE-MRI quantification method; compartment-model-based Ktrans; dense histological sampling; histological defined volumes; intermediate ex-vivo MRI; model-free parameter; model-free-based analysis; nonvital tumor tissue; parameter map evaluation; principal component analysis; two-step registration process; Analytical models; Computational modeling; In vivo; Magnetic resonance imaging; Principal component analysis; Tumors; DCE-MRI; Principal Component Analysis; histology; model-free analysis; standard Tofts model;
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-1857-1
DOI :
10.1109/ISBI.2012.6235737