Automatic bone detection and soft tissue aware ultrasound–CT registration for computer-aided orthopedic surgery
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The transfer of preoperative CT data into the tracking system coordinates within an operating room is of high interest for computer-aided orthopedic surgery. In this work, we introduce a solution for intra-operative ultrasound–CT registration of bones.
We have developed methods for fully automatic real-time bone detection in ultrasound images and global automatic registration to CT. The bone detection algorithm uses a novel bone-specific feature descriptor and was thoroughly evaluated on both in-vivo and ex-vivo data. A global optimization strategy aligns the bone surface, followed by a soft tissue aware intensity-based registration to provide higher local registration accuracy.
We evaluated the system on femur, tibia and fibula anatomy in a cadaver study with human legs, where magnetically tracked bone markers were implanted to yield ground truth information. An overall median system error of \(3.7\) mm was achieved on 11 datasets.
Global and fully automatic registration of bones aquired with ultrasound to CT is feasible, with bone detection and tracking operating in real time for immediate feedback to the surgeon.
KeywordsRegistration Ultrasound Navigation CAOS
Conflict of interest
The authors declare that they have no conflict of interest.
- 2.Beitzel J, Ahmadi SA, Karamalis A, Wein W, Navab N (2012) Ultrasound bone detection using patient-specific CT prior. In: 34. International conference of the IEEE engineering in medicine and biology society (EMBC), pp 2664–2667Google Scholar
- 3.Brounstein A, Hacihaliloglu I, Guy P, Hodgson A, Abugharbieh R (2011) Towards real-time 3D US to CT bone image registration using phase and curvature feature based GMM matching. In: Medical image computing and computer-assisted intervention, MICCAI, pp 235–242Google Scholar
- 6.Hacihaliloglu I, Abugharbieh R, Hodgson A, Rohling R (2008) Bone segmentation and fracture detection in ultrasound using 3D local phase features. In: Medical image computing and computer-assisted intervention, MICCAI, pp 287–295Google Scholar
- 7.Hacihaliloglu I, Brounstein A, Guy P, Hodgson A, Abugharbieh R (2012) 3D ultrasound–CT registration in orthopaedic trauma using GMM registration with optimized particle simulation-based data reduction. In: Medical image computing and computer-assisted intervention, MICCAI, pp 82–89Google Scholar
- 9.Jain AK, Taylor RH (2004) Understanding bone responses in B-mode ultrasound images and automatic bone surface extraction using a bayesian probabilistic framework. In: Proceedings of SPIE medical imaging: ultrasonic imaging and signal processingGoogle Scholar
- 10.Jesorsky O, Kirchberg K, Frischholz R (2001) Robust face detection using the hausdorff distance. In: Proceedings of third international conference on audio- and video-based biometric person authentication, pp 90–95Google Scholar