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Extraction of Patient-Specific 3D Cerebral Artery and Wall Thickness Models from 2D OCT and Structured-Light 3D Scanner Data

We present a work flow for the virtual generation of patient-specific 3D cerebral vessel models including the vessel wall thickness. Optical coherence tomography (OCT) is employed for the acquisition of post mortem cerebral vessel image data including the cerebral vessel wall information. Due to OCT image acquisition, the 3D spatial information about the catheter’s path is lost. To overcome this limitation, structured-light 3D scanning is used to obtain landmarks for the approximation of the patient-specific spatial variation of the Circle of Willis (CoW). With a geometrical transformation of the OCT image data to the extracted 3D positions, the vessel’s 3D centerline can be approximated and the segmented contours are translated accordingly. We developed a 3D visualization that allows for 3D evaluation of wall thickness variations. With the presented pipeline, the surface meshes of patient-specific vessel wall models are generated which may be the prerequisite for more complex applications including fluid-structure simulations.