Comparative tracking error analysis of five different optical tracking systems

Khadem, Rasool; Yeh, Chao Hsing; Sadeghi-Tehrani, Mohammad; Bax, Michael R.; Johnson, Jeremy A.; Welch, Jacqueline Nerney; Wilkinson, Eric P.; Shahidi, Ramin

doi:10.1002/1097-0150(2000)5:2<98::aid-igs4>3.0.co;2-h

Cited by 111 publications

(85 citation statements)

References 26 publications

(30 reference statements)

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“…We performed the reference motion path 20 times, taking care to keep the leg in neutral rotation via navigation. The accuracy of this system was within 1 mm for translational measurements and 1°for measurements of rotation [14,19].…”

Section: Methodsmentioning

confidence: 80%

Posterior Cruciate Ligament and Posterolateral Corner Deficiency Results in a Reverse Pivot Shift

Petrigliano

Lane

Suero

et al. 2012

Clinical Orthopaedics &Amp; Related Research

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Background As measured via static stability tests, the PCL is the dominant restraint to posterior tibial translation while the posterolateral corner is the dominant restraint to external tibial rotation. However, these uniplanar static tests may not predict multiplanar instability. The reverse pivot shift is a dynamic examination maneuver that may identify complex knee instability. Questions/purposes In this cadaver study, we asked whether (1) isolated sectioning or (2) combined sectioning of the PCL and posterolateral corner increased the magnitude of the reverse pivot shift and (3) the magnitude of the reverse pivot shift correlated with static external rotation or posterior drawer testing. Methods In Group I, we sectioned the PCL followed by structures of the posterolateral corner. In Group II, we sectioned the posterolateral corner structures before sectioning the PCL. We performed posterior drawer, external rotation tests, and mechanized reverse pivot shift for each specimen under each condition and measured translations via navigation. Results Isolated sectioning of the PCL or posterolateral corner had no effect on the reverse pivot shift. Conversely, combined sectioning of the PCL and posterolateral corner structures increased the magnitude of the reverse pivot shift. The magnitude of the reverse pivot shift correlated with the posterior drawer and external rotation tests. Conclusions Combined sectioning of the PCL and posterolateral corner was required to cause an increase in the magnitude of the mechanized reverse pivot shift. The reverse pivot shift correlated with both static measures of stability. Clinical RelevanceCombined injury to the PCL and posterolateral corner should be considered in the presence of a positive reverse pivot shift.

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Section: Methodsmentioning

confidence: 80%

Posterior Cruciate Ligament and Posterolateral Corner Deficiency Results in a Reverse Pivot Shift

Petrigliano

Lane

Suero

et al. 2012

Clinical Orthopaedics &Amp; Related Research

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“…Maurer , the tracking system's ability to accurately and consistently report the position of a tracked tool that will influence the accuracy throughout the IGNS intervention (Khadem, et al 2000), different tracked tools have different errors associated with their calibration and use , there are many different types of errors associated with relating the physical space of a patient with the space in which the preoperative images are taken through registration procedures (Zitova and Flusser 2003) (van den Elsen, Pol and Viergever 1993) (Fitzpatrick, West and Maurer Jr. 1998), and finally, a plethora of errors can be introduced by biological changes in the patient throughout the surgery (Hill, et al 1998). This section goes into some detail about some of these different types of errors and how they can affect IGNS interventions.…”

Section: Main Sources Of Errormentioning

confidence: 99%

“…For optical tracking systems, such as the Polaris infrared camera, one of these types of error is called "jitter", and refers to how the reported position of a static tool varies over time. The jitter varies with the type of tracking system used as well as the camera's position with respect to the dynamic reference frame (DRF) and the tracked tools (Khadem, et al 2000). This type of error is very important during the patient-to-image registration phase of an IGNS intervention.…”

Section: Tracking Errorsmentioning

confidence: 99%

“…Most commercially available tracking devices can provide position and orientation information with sub-millimeter accuracy (Khadem, et al 2000) and point matching between homologous point pairs manually identified on the patient and images can yield a mapping with accuracy on the order of 2 -3 mm (Cuchet, et al 1995). Image distortion in MRI (the most common image modality used in IGNS) is highly dependent on acquisition parameters and geometric distortion can be on the order of 2 -3 mm if precautions are not taken to avoid it (C. R. .…”

Section: Introductionmentioning

confidence: 99%

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An analysis of tracking error in image-guided neurosurgery

Gerard

Collins

2015

Int J CARS

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“…One of the biggest advantages of an electromagnetic system, apart from the avoidance of radiation exposure, is that a visual connection between the navigation probe and sensor is not necessary. However, the electromagnetic tracking field is much smaller compared to that of optical systems, and also more delicate [24,25]. Maier-Hein et al [26] reported total puncture errors of 3.7 AE 2.3 mm (max.…”

Section: Improving Ct-guided Interventionsmentioning

confidence: 99%

Accuracy and diagnostic yield of CT-guided stereotactic liver biopsy of primary and secondary liver tumors

Schullian

Widmann

Lang

et al. 2011

Computer Aided Surgery

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Objective: CT-guided biopsy still plays a decisive role in the management of liver tumors, especially if the lesions are not visible or accessible by ultrasound. As CT-guided stereotaxy appears to be a very accurate targeting technique, the aim of this study was to evaluate the targeting accuracy, diagnostic yield, and complications of CT-guided stereotactic liver biopsy of primary and secondary liver tumors. Methods and Materials: Prior to stereotactic liver biopsy, patients under general anesthesia were immobilized using a vacuum cushion. Respiratory motion was controlled by temporary disconnections of the endotracheal tube. An opticalbased navigation system was used for 3D trajectory planning and placement of a 15-G coaxial needle via a stereotactic aiming device. The histological samples were obtained using a 16-G Tru-Cut TM biopsy needle system. For evaluation of targeting accuracy the control CT image with the needles in place was fused with the planning CT image. The lateral error at the tip and skin entry point and the angular error were calculated. In addition, the skin-to-liver-surface (SL) distance, the needle-to-liver-surface (NL) angle, and the presence of liver cirrhosis were evaluated. The diagnostic yield was evaluated by histological reports from the institutional pathologists. Results: The median lateral error was 2.5 mm (range: 0-6.5 mm) at the needle entry point and 3.2 mm (range: 0.01-9.4 mm) at the needle tip. The median angular error was 1.06(range: 0-6.64 ). Liver cirrhosis, NL angle and SL distance showed no significant impact on the targeting accuracy. Forty-five of the 46 liver biopsies (97.8%) were diagnostic according to the histological reports. No puncture-related complications such as bleeding or perforation of intestinal organs or lung tissue were recorded.

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Comparative tracking error analysis of five different optical tracking systems

Abstract: Both FlashPoint and Polaris have jitter less than 0.11 mm, although the error distributions differ significantly. Total jitter for all systems is dominated by the component measured in the axis directed away from the camera.

Cited by 111 publications

References 26 publications

Posterior Cruciate Ligament and Posterolateral Corner Deficiency Results in a Reverse Pivot Shift

Posterior Cruciate Ligament and Posterolateral Corner Deficiency Results in a Reverse Pivot Shift

An analysis of tracking error in image-guided neurosurgery

Accuracy and diagnostic yield of CT-guided stereotactic liver biopsy of primary and secondary liver tumors

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