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Localizing calcifications in cardiac CT data sets using a new vessel segmentation approach

: Wesarg, S.; Firle, E.

Society for Computer Applications in Radiology -SCAR-:
SCAR 2004. Extended Abstracts
Great Falls, Virginia: SCAR, 2004
Society for Computer Applications in Radiology (Annual Meeting SCAR) <21, 2004, Vancouver>
Fraunhofer IGD ()
computed tomography; Segmentation; detection; diagnostic imaging; image analysis

The new generation of multislice CT scanners allows for the acquisition of high-resolution images of the heart. In cardiac surgery this image data is often the basis for interventional methods like the bypass grafting. In case of executing those interventions as minimal invasive procedures, it is mandatory to have a detailed knowledge about the position of calcifications in the coronary arteries. This work presents a method for localizing these calcifications by employing a newly developed vessel segmentation approach. That extraction technique has been developed for and tested with contrast-enhanced CT data sets of the heart. The algorithm provides enough information to compute the vessel's diameter along the extracted segment. An approach for automatically detecting calcified regions based on this information is presented.