Schkommodau, Erik
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Automatic landmark identification for surgical 3d-navigation – A proposed method for marker-free dental surgical navigation systems
2022-07-04, Schkommodau, Erik
This paper proposes a conceptual method to calculate the pose of a stereo-vision camera relative to an artificial mandible without additional markers. The general method for marker-free navigation has four steps: 1) parallel image acquisition by a stereo-vision camera, 2) automatic identification of 2d point pairs (landmark pairs) in a left and a right image, 3) calculation of related 3d points in the joint camera coordinate system and 4) matching of 3d points generated to a preoperative 3d model (i.e., CT data based). To identify and compare landmarks in the acquired stereo images, well-known algorithms for landmark detection, description and matching were compared within the developed approach. Finally, the BRISK algorithm (Leutenegger S, Chli M, Siegwart RY. BRISK: Binary Robust invariant scalable keypoints. Proceedings of the IEEE International Conference on Computer Vision; 2011: 2548–2555) was used. The proposed method was implemented in MATLAB and validated with one artificial mandible. The accuracy evaluation of the camera positions calculated resulted in an average deviation error of 1.45 mm ± 0.76 mm to the real camera displacement. This value was calculated using only stereo images with over 100 reconstructed landmark pairs each. This provides the basis for marker-free navigation.
Accuracy investigation of a new mininavigation system for dental implants
2016-10, Schkommodau, Erik
Intraoperative quantitative tremor evaluation in deep brain stimulation surgery
2016-09, Schkommodau, Erik
3D Visualization of intraoperative stimulation test results for better target selection in DBS surgery (U-PP-04)
2016, Schkommodau, Erik
Stimulation maps: visualization of results of quantitative intraoperative testing for deep brain stimulation surgery
2020-01-30, Schkommodau, Erik
Patient-specific hip prostheses designed by surgeons
2016-09-30, Schkommodau, Erik
Patient-specific bone and joint replacement implants lead to better functional and aesthetic results than conventional methods [1], [2], [3]. But extracting 3D shape information from CT Data and designing individual implants is demanding and requires multiple surgeon-to-engineer interactions. For manufacturing purposes, Additive Manufacturing offers various advantages, especially for low volume manufacturing parts, such as patient specific implants. To ease these new approaches and to avoid surgeon-to-engineer interactions a new design software approach is needed which offers highly automated and user friendly planning steps.
Improvement maps: A Technique to visualise intraoperative stimulation test data
2016-08, Schkommodau, Erik
A novel assistive method for rigidity evaluation during deep brain stimulation surgery using acceleration sensors
2017-09, Schkommodau, Erik
Improving DBS targeting using 3D visualization of intraoperative stimulation tests
2016-09, Schkommodau, Erik
Degradable Mg scaffolds produced by selective laser melting (P1035)
2016-05, Schkommodau, Erik