(ii) The accuracy of surgical navigation for orthopaedic surgery

Phillips, R. J.

doi:10.1016/j.cuor.2007.06.006

Cited by 32 publications

(16 citation statements)

References 20 publications

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“…In an in-depth review on CAOS accuracy, Phillips noted that errors can occur at every stage of navigation and that these errors are propagated as one progresses through the workflow [18]. In simplest terms, Phillips stated that the accuracy of most navigation systems should be, at most, 1 mm when targeting a single point and 1°when targeting a line or resection plane.…”

Section: Errormentioning

confidence: 99%

“…The potential benefits of this method include improved accuracy, speed, and decreased surgical exposure for registration [17]. Drawbacks include equipment and computational cost, additional x-ray exposure, and poor quality partial volumetric view of intraoperative images [18].…”

Section: Intraoperative Calibration and Registrationmentioning

confidence: 99%

“…In simplest terms, Phillips stated that the accuracy of most navigation systems should be, at most, 1 mm when targeting a single point and 1°when targeting a line or resection plane. When operator error is included, the accuracy of most systems is likely 2-4 mm for a targeted point and between 1 and 3°for a targeted trajectory [18].…”

Section: Errormentioning

confidence: 99%

“…Once a DRF is placed on the patient, and intraoperative imaging is obtained, the system performs an automatic registration by matching features on both preoperative and intraoperative data sets. Most systems use an intensity-based registration method that matches the intraoperative image data with the preoperative image through a similarity algorithm [8,18]. The potential benefits of this method include improved accuracy, speed, and decreased surgical exposure for registration [17].…”

Section: Intraoperative Calibration and Registrationmentioning

confidence: 99%

See 3 more Smart Citations

Potential use of computer navigation in the treatment of primary benign and malignant tumors in children

Saidi

2012

Curr Rev Musculoskelet Med

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Section: Errormentioning

confidence: 99%

Section: Intraoperative Calibration and Registrationmentioning

confidence: 99%

Section: Errormentioning

confidence: 99%

Section: Intraoperative Calibration and Registrationmentioning

confidence: 99%

See 2 more Smart Citations

Potential use of computer navigation in the treatment of primary benign and malignant tumors in children

Saidi

2012

Curr Rev Musculoskelet Med

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“…For each volume, approximately 800-1000 points were automatically selected on the bone surface. Successful registration should have an error less than 2 -4 mm for fracture reduction applications in CAOS [12].…”

Section: Validation Setupmentioning

confidence: 99%

Towards Real-Time 3D US to CT Bone Image Registration Using Phase and Curvature Feature Based GMM Matching

Brounstein

Hacihaliloglu

Guy

et al. 2011

Lecture Notes in Computer Science

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Abstract. In order to use pre-operatively acquired computed tomography (CT) scans to guide surgical tool movements in orthopaedic surgery, the CT scan must first be registered to the patient's anatomy. Threedimensional (3D) ultrasound (US) could potentially be used for this purpose if the registration process could be made sufficiently automatic, fast and accurate, but existing methods have difficulties meeting one or more of these criteria. We propose a near-real-time US-to-CT registration method that matches point clouds extracted from local phase images with points selected in part on the basis of local curvature. The point clouds are represented as Gaussian Mixture Models (GMM) and registration is achieved by minimizing the statistical dissimilarity between the GMMs using an L2 distance metric. We present quantitative and qualitative results on both phantom and clinical pelvis data and show a mean registration time of 2.11 s with a mean accuracy of 0.49 mm.

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Assessment of the accuracy of infrared and electromagnetic navigation using an industrial robot: Which factors are influencing the accuracy of navigation?

Liodakis

Chu

Westphal

et al. 2011

Journal Orthopaedic Research

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Our objectives were to detect factors that influence the accuracy of surgical navigation (magnitude of deformity, plane of deformity, position of the navigation bases) and compare the accuracy of infrared with electromagnetic navigation. Human cadaveric femora were used. A robot connected with a computer moved one of the bony fragments in a desired direction. The bases of the infrared navigation (BrainLab) and the receivers of the electromagnetic device (Fastrak-Pohlemus) were attached to the proximal and distal parts of the bone. For the first part of the study, deformities were classified in eight groups (e.g., 0 to 5 8 ). For the second part, the bases were initially placed near the osteotomy and then far away. The mean absolute differences between both navigation system measurements and the robotic angles were significantly affected by the magnitude of angulation with better accuracy for smaller angulations (p < 0.001). The accuracy of infrared navigation was significantly better in the frontal and sagittal plane. Changing the position of the navigation bases near and far away from the deformity apex had no significant effect on the accuracy of infrared navigation; however, it influenced the accuracy of electromagnetic navigation in the frontal plane (p < 0.001). In conclusion, the use of infrared navigation systems for corrections of small angulation-deformities in the frontal or sagittal plane provides the most accurate results, irrespectively from the positioning of the navigation bases. Keywords: robot-assisted surgery; electromagnetic navigation; infrared navigation; accuracy; deformityThe main goal of computer assisted orthopaedic techniques is to improve the precision and accuracy by which procedures can be executed. This in turn might lead to improved outcomes and patient satisfaction, decreased complication rates, decreased long-term costs and adoption of less invasive approaches. [1][2][3] Computer navigation is used to track the position and orientation of objects, 4 such as the tip of a pointer or a surgical tool on a preoperative or intraoperative image after registration of landmarks or surfaces on anatomical structures. [4][5][6][7] Instant tracking of objects can be achieved with infrared cameras, electromagnetic navigation, or acoustic technology. 5,8 The most popular technology used in orthopaedic practice is infrared tracking of light emitting diodes (LEDs) attached to rigid bodies. The measurement of position changes is performed by computing the intersection of the three planes corresponding to each camera. 4 The main disadvantages are cost and the need for a line of sight between the object and the camera. Therefore, availability is limited. 4,5 Another interesting modality recently introduced into total knee arthroplasty, but not yet a standard procedure, is electromagnetic navigation. 9 It depends on the generation of an electromagnetic field to attain positional awareness. The main disadvantage of this technology is the interference of magnetic metals with the measurements;...

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(ii) The accuracy of surgical navigation for orthopaedic surgery

Cited by 32 publications

References 20 publications

Potential use of computer navigation in the treatment of primary benign and malignant tumors in children

Potential use of computer navigation in the treatment of primary benign and malignant tumors in children

Towards Real-Time 3D US to CT Bone Image Registration Using Phase and Curvature Feature Based GMM Matching

Assessment of the accuracy of infrared and electromagnetic navigation using an industrial robot: Which factors are influencing the accuracy of navigation?

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