By Guoyan Zheng, Shuo Li
This publication offers a cohesive evaluation of the present technological advances in computational radiology, and their functions in orthopaedic interventions.
Contributed by means of the best researchers within the box, this quantity covers not just simple computational radiology ideas similar to statistical form modeling, CT/MRI segmentation, augmented truth and micro-CT photo processing, but in addition the functions of those thoughts to numerous orthopaedic interventional initiatives. information about following vital state of the art improvement are featured: 3D preoperative making plans and patient-specific instrumentation for surgical operation of long-bone deformities, laptop assisted prognosis and making plans of periacetabular osteotomy and femoroacetabular impingement, 2D-3D reconstruction-based making plans of overall hip arthroplasty, photo fusion for computer-assisted bone tumor surgical procedure, intra-operative third-dimensional imaging in fracture therapy, augmented truth established orthopaedic interventions and schooling, clinical robotics for musculoskeletal surgical procedure, inertial sensor-based low-cost surgical navigation, and computing device assisted hip resurfacing utilizing patient-specific device guides.
Edited and authored through best researchers within the box, this paintings is an important reference for biomedical engineers, machine scientists and orthopaedic surgeons to improve or use computational radiology ways for orthopaedic surgical procedure and interventions.
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Additional info for Computational Radiology for Orthopaedic Interventions
To physically guide the surgeon the template incorporates two components, the bone contact surface which is obtained via segmentation from the preoperative image and guidance channels which correspond to the physical constraints speciﬁed by the plan. Templates can be created either via milling, subtractive fabrication, or via 3D printing, additive fabrication. The later approach has become more common as the costs of 3D printers have come down. Figure 3 illustrates this concept in the context of pedicle screw insertion.
ISSN 1361-8415. 02. 008. com/science/article/pii/S136184151000023X 16. Lamecker H (2009) Variational and statistical shape modeling for 3D geometry reconstruction. PhD thesis, Freie Universität Berlin 17. Lamecker H, Wenckebach T, Hege H-C (2006) Atlas-based 3d-shape reconstruction from x-ray images. In: Proceedings of international conference of pattern recognition (ICPR2006), vol I, pp 371–374. 279 18. Lamecker H, Zachow S, Hege H-C, Zöckler M (2006) Surgical treatment of craniosynostosis based on a statistical 3d-shape model.
Figure 3 illustrates this concept in the context of pedicle screw insertion. Patient speciﬁc templates have been used to guide various procedures for a number of anatomical structures including the spine [15, 68, 69, 98], the hand [60, 70, 85], the hip [41, 98, 119, 148], and the knee [43, 98]. When compared to the ideal registration framework, this approach provides sufﬁcient accuracy, precision and robustness. Registration is obtained implicitly in an intuitive manner, as the template is manually ﬁt onto the bone surface.
Computational Radiology for Orthopaedic Interventions by Guoyan Zheng, Shuo Li