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A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment
Published on: May 24, 2022
A new adaptive probabilistic model of blood vessels for segmenting MRA images
Ayman El-Baz1, Aly A Farag, Georgy Gimel'farb
1Computer Vision and Image Processing Laboratory, University of Louisville, Louisville, KY 40292, USA. elbaz@cvip.Louisville.edu
Abstract:
A new physically justified adaptive probabilistic model of blood vessels on magnetic resonance angiography (MRA) images is proposed. The model accounts for both laminar (for normal subjects) and turbulent blood flow (in abnormal cases like anemia or stenosis) and results in a fast algorithm for extracting a 3D cerebrovascular system from the MRA data. Experiments with synthetic and 50 real data sets confirm the high accuracy of the proposed approach.
