High-accuracy and real-time 3D positioning,tracking system for medical imaging applications based on 3D digital image correlation |
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| Affiliation: | 1. University of Science and Technology of China, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, Hefei, 230027 China;2. Peking University School and Hospital of Stomatology, Department of Oral and Maxillofacial Surgery, Beijing, 100081 China;3. Shandong University, School of Control Science and Engineering, Jinan, 250061 China;4. Medical Devices Unit, DCPB, NHS Greater Glasgow and Clyde, Glasgow, UK;1. Luleå University of Technology, Department of Engineering Sciences and Mathematics, Luleå, S-971 87 Sweden;2. University of Mosul, College of Engineering, Department of Mechanical Engineering, Mosul, Iraq;1. State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084 China;2. Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, 100048 China;3. School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907 USA;4. Ingram School of Engineering, Texas State University, San Marcos, TX, 78746 USA;1. CEA, DEN, DTEC, SGCS, F-30207 Bagnols-sur-Cèze, France;2. CEA, DEN, DTEC, SEPE, F-30207 Bagnols-sur-Cèze, France;3. Aix-Marseille Université, CNRS, IUSTI, UMR 7343, 13453 Marseille Cedex 13, France |
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| Abstract: | This paper presents a system for positioning markers and tracking the pose of a rigid object with 6 degrees of freedom in real-time using 3D digital image correlation, with two examples for medical imaging applications. Traditional DIC method was improved to meet the requirements of the real-time by simplifying the computations of integral pixel search. Experiments were carried out and the results indicated that the new method improved the computational efficiency by about 4–10 times in comparison with the traditional DIC method. The system was aimed for orthognathic surgery navigation in order to track the maxilla segment after LeFort I osteotomy. Experiments showed noise for the static point was at the level of 10−3 mm and the measurement accuracy was 0.009 mm. The system was demonstrated on skin surface shape evaluation of a hand for finger stretching exercises, which indicated a great potential on tracking muscle and skin movements. |
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| Keywords: | 3D digital image correlation (3D–DIC) Real-time tracking Medical imaging |
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