Abstract
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 language | English |
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Title of host publication | Medical Imaging 2011 |
Subtitle of host publication | Biomedical Applications in Molecular, Structural, and Functional Imaging |
DOIs | |
Publication status | Published - 16 May 2011 |
Externally published | Yes |
Event | SPIE Medical Imaging 2011 - Lake Buena Vista, United States Duration: 12 Feb 2011 → 17 Feb 2011 |
Conference
Conference | SPIE Medical Imaging 2011 |
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Country/Territory | United States |
City | Lake Buena Vista |
Period | 12/02/11 → 17/02/11 |
Keywords
- DCE-analysis
- DCE-MRI
- Histology
- Pharmacokinetic modeling
- Quantitative
- Registration
- Semi-quantitative
- Two-compartment model