Accuracy assessment phantom for surgical devices

Koivukangas, Tapani; Katisko, Jani

doi:10.1109/cibec.2010.5716082

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…Taking the registration into account, the main criterion given for the phantom was the need to provide multiple surfaces for placement the calibration sphere [8]. The solution for this criterion was to design a 70mm × 70mm × 80mm cube calibration phantom.…”

Section: Methodsmentioning

confidence: 99%

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A spatial registration method for navigation system combining O-arm with spinal surgery robot

Bai

Song

Zhao

et al. 2018

J. Phys.: Conf. Ser.

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Section: Methodsmentioning

confidence: 99%

“…After the pre-registration matrix is obtained, the point cloud in patient space T , as shown in equation (8). Then the pre-registration is completed.…”

Section: Methodsmentioning

confidence: 99%

A spatial registration method for navigation system combining O-arm with spinal surgery robot

Bai

Song

Zhao

et al. 2018

J. Phys.: Conf. Ser.

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“…Materials used in this study consisted of a phantom that was designed by the authors of this paper [2], and an O-arm and StealthStation Treon+ navigator (Medtronic Inc., Louisville, CO, USA). The accuracy of the phantom was industrially verified to be ±0.015 mm for the accuracy assessment point displacement.…”

Section: A Materialsmentioning

confidence: 99%

“…The data was analyzed using the 49 points on each level forming a rectangular shape with 160mm x 160mm x 100mm volume. The designed phantom and accuracy assessment protocol have earlier been published [2]. Figure 1 illustrates the used phantom.…”

Section: A Materialsmentioning

confidence: 99%

Technical accuracy of an O-arm registered surgical navigator

Koivukangas

Katisko

Koivukangas

2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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The objective of this study was to assess the accuracy of a commercial surgical navigator using optical tracking modality with automated registration between O-arm images and the scanned object. Automated registration was enabled by using the spine navigation software of the navigator. The used phantom was designed by the authors of this paper. The surgical navigators and the O-arm are routinely used at Oulu University Hospital, Oulu, Finland. The distances measured with the surgical navigator from the fixed origin of the phantom were compared to the known phantom accuracy assessment coordinates. The error of the surgical navigator was the difference between measured and true values. The mean displacement error was 0.20 mm with a standard deviation of 0.14 mm. The results show that automated registration is very reliable for image guided surgery (IGS) and that the present accuracy assessment method can be used to periodically check surgical navigator accuracy using O-arm data.

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