Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration

Accurate quantification of the morphology of vessels is important for diagnosis and treatment of cardiovascular diseases. We introduce a new joint segmentation and registration approach for the quantification of the aortic arch morphology that combines 3D model-based segmentation with elastic image registration. With this combination, the approach benefits from the robustness of model-based segmentation and the accuracy of elastic registration. The approach can cope with a large spectrum of vessel shapes and particularly with pathological shapes that deviate significantly from the underlying model used for segmentation. The performance of the approach has been evaluated on the basis of 3D synthetic images, 3D phantom data, and clinical 3D CTA images including pathologies. We also performed a quantitative comparison with previous approaches.

Joint 3D model-based segmentation and elastic image registration for quantification of the aortic arch.Figure optionsDownload high-quality image (144 K)Download as PowerPoint slideHighlights
► First joint segmentation and registration approach for vessel quantification.
► Novel combination of 3D model-based segmentation with intensity-based registration.
► Segmentation and quantification of the aortic arch.
► The quantitative evaluation demonstrates the accuracy and robustness of the approach.
► The approach can cope with a large spectrum of vessel shapes including pathologies.