Comparison of different 3D navigation systems by a clinical "user"

Cartellieri, M.; Kremser, J.; Vorbeck, Friedrich

doi:10.1007/s004050000302

Cited by 31 publications

(15 citation statements)

References 15 publications

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“…Electromagnetic (EM) tracking measures the magnetic field between a transmitter attached to the US probe and a receiver. Limitations of optical systems are mainly the requirement of a constant line of sight (Cartellieri et al, 2001;Rousseau, 2003), and those of EM sensors are errors induced by metallic object interference and a variable performance depending on the scanning distance (Birkfellner et al, 1998a,b;Frantz et al, 2003;Rousseau, 2003). Additionally, uneven volume sampling generated by the 3D-US freehand tracking method adds uncertainty to the reconstruction.…”

Section: Introductionmentioning

confidence: 98%

Performance evaluation of a medical robotic 3D-ultrasound imaging system

Janvier

Durand

Cardinal

et al. 2008

Medical Image Analysis

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Section: Introductionmentioning

confidence: 98%

Performance evaluation of a medical robotic 3D-ultrasound imaging system

Janvier

Durand

Cardinal

et al. 2008

Medical Image Analysis

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“…Recently, navigation systems have been widely used in various surgical fields, especially in neurosurgery, otorhinolaryngologic surgery, and spinal surgery [6][7][8]. Since laparoscopic surgery essentially involves monitor-based surgery, monitor-based augmented reality (AR) visualization can be naturally integrated into it.…”

Section: Introductionmentioning

confidence: 99%

A real-time navigation system for laparoscopic surgery based on three-dimensional ultrasound using magneto-optic hybrid tracking configuration

et al. 2007

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Objectives In laparoscopic liver surgery, intraoperative navigation is strongly recommended. We developed a navigation system based on intraoperative ultrasound (IOUS). The purpose of this study was to evaluate the usefulness and accuracy of this system using an animate model. Materials and methods Augmented reality (AR) visualization superimposing three-dimensional ultrasound (3D-US) images onto captured laparoscopic live images was constructed. We employed magneto-optic hybrid tracking configuration and a rapid method of magnetic distortion correction. Twelve pigs and liver tumor mimics were used, and effects of magnetic distortion correction and accuracy of 3D-US navigation were evaluated. Results Using magnetic distortion correction, tracking error was significantly reduced. Each ultrasound scanning time was within 30 s, and the time to generate 3D-US images was within 3 min. All tumor mimics were successfully punctureguided with navigation. Registration accuracy was significantly improved from 17.2 ± 5.27 to 1.96 ± 0.87 mm. Conclusion We developed an AR navigation system based on IOUS. Experimental results showed that the proposed method was effective, and could be used in clinical settings. 3D-US, as an imaging modality allows real-time imaging regardless of organ shifts or distortion.

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“…It is therefore common practice to estimate the system's overall accuracy in a controlled laboratory setting using precisely built phantoms. [21][22][23] To make a conclusion on the potential clinical accuracy, the differences between the clinical and laboratory settings must be carefully examined.…”

Section: Introductionmentioning

confidence: 99%

“…6,[21][22][23][24][25] Although much has been written about conventional neuronavigation systems, the literature on accuracy measurements of ultrasound-based neuronavigation is sparse. Hata et al 4 reported a root-mean-square (RMS) error of 3.1 mm, with standard deviation 2.5 mm, at a depth of 10 mm from the transducer.…”

Section: Introductionmentioning

confidence: 99%

Accuracy evaluation of a 3D ultrasound-based neuronavigation system

Lindseth

Langø

Bang

et al. 2002

Comput. Aided Surg.

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We have investigated the 3D navigation accuracy of a frameless ultrasound-based neuronavigation system (SonoWand) for surgical planning and intraoperative image guidance. In addition, we present a detailed description and review of the error sources associated with surgical neuronavigation based on preoperative MRI data and intraoperative ultrasound. A phantom with 27 precisely defined points was scanned with ultrasound by various translation and tilt movements of the ultrasound probe (180 3D scans in total), and the 27 image points in each volume were located using an automatic detection algorithm. These locations were compared to the physically measured locations of the same 27 points. The accuracy of the neuronavigation system and the effect of varying acquisition conditions were found through a thorough statistical analysis of the differences between the two point sets. The accuracy was found to be 1.40 +/- 0.45 mm (arithmetic mean) for the ultrasound-based neuronavigation system in our laboratory setting. Improper probe calibration was the major contributor to this figure. Based on our extensive data set and thorough evaluation, the accuracy found in the laboratory setting is expected to be close to the overall clinical accuracy for ultrasound-based neuronavigation. Our analysis indicates that the overall clinical accuracy may be as low as 2 mm when using intraoperative imaging to compensate for brain shift.

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Comparison of different 3D navigation systems by a clinical "user"

Cited by 31 publications

References 15 publications

Performance evaluation of a medical robotic 3D-ultrasound imaging system

Performance evaluation of a medical robotic 3D-ultrasound imaging system

A real-time navigation system for laparoscopic surgery based on three-dimensional ultrasound using magneto-optic hybrid tracking configuration

Accuracy evaluation of a 3D ultrasound-based neuronavigation system

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