Fast detection and characterization of vessels in very large 3-D data sets using geometrical moments.
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- Record sourced from PubMed, PMID 11341536.
- Also identified by PMC identifier 2995944.
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Abstract
An improved and very fast algorithm dealing with the extraction of vessels in three-dimensional imaging is described. The approach is based on geometrical moments and a local cylindrical approximation. A robust estimation of vessel and background intensity levels, position, orientation, and diameter of the vessels with adaptive control of key parameters, is provided during vessel tracking. Experimental results are presented for lower limb arteries in multidetector computed tomography scanner.
Medical subject headings
- Leg
- Models, Cardiovascular
- Radiographic Image Enhancement
- Tomography, X-Ray Computed