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Abstract #2930

Pixel-based Quantitative Analysis of Dynamic Contrast-enhanced MRI of Lung Tumors

Chu W, Tseng W, Chen Y
Institute of Biomedical Engineering, National Yang-Ming University

Dynamic contrast-enhanced magnetic resonance image (DCE-MRI) has been known for its efficacy in characterization and treatment monitoring of tumors. Using a pharmacokinetic model, DCE-MRI provides parameters indicating permeability of tumor microvessels which has been shown to be closely related to angiogenesis. Due to heterogeneity of tumor perfusion, a pixel-based quantitative method to analyze tumor perfusion is desirable. To accomplish this, we tried to develop an automatic motion-detection method to co-register the tumors in motion, and tested the pixel-based DCE-MRI technique in lung tumors.