AngleNav: MEMS Tracker to Facilitate CT-Guided Puncture.
AngleNav: MEMS Tracker to Facilitate CT-Guided Puncture.
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DOI:
10.1007/s10439-017-1968-4
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发表时间:
2018-03
影响因子:
3.8
通讯作者:
Tse ZTH
中科院分区:
文献类型:
--
作者:
Li R;Xu S;Pritchard WF;Karanian JW;Krishnasamy VP;Wood BJ;Tse ZTH
As a low-cost needle navigation system, AngleNav may be used to improve the accuracy, speed, and ease of CT-guided needle punctures. The AngleNav hardware includes a wireless device with a microelectromechanical (MEMS) tracker that can be attached to any standard needle. The physician defines the target, desired needle path and skin entry point on a CT slice image. The accuracy of AngleNav was first tested in a 3D-printed calibration platform in a benchtop setting. An abdominal phantom study was then performed in a CT scanner to validate the accuracy of the device’s angular measurement. Finally, an in vivo swine study was performed to guide the needle towards liver targets (n = 8). CT scans of the targets were used to quantify the angular errors and needle tip-to-targeting distance errors between the planned needle path and the final needle position. The MEMS tracker showed a mean angular error of 0.01° with a standard deviation (SD) of 0.62° in the benchtop setting. The abdominal phantom test showed a mean angular error of 0.87° with an SD of 1.19° and a mean tip-to-target distance error of 4.89 mm with an SD of 1.57 mm. The animal experiment resulted in a mean angular error of 6.6° with an SD of 1.9° and a mean tip-to-target distance error of 8.7 mm with an SD of 3.1 mm. These results demonstrated the feasibility of AngleNav for CT-guided interventional workflow. The angular and distance errors were reduced by 64.4 and 54.8% respectively if using AngleNav instead of freehand insertion, with a limited number of operators. AngleNav assisted the physicians to deliver accurate needle insertion during CT-guided intervention. The device could potentially reduce the learning curve for physicians to perform CT-guided needle targeting.
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DOI:
10.1109/tra.2003.817510
发表时间:
2003-10-01
期刊:
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION
影响因子:
--
作者:
Jakopec, M;Rodriguez y Baena, F;Davies, BL
通讯作者:
Davies, BL
DOI:
10.3109/13645706.2014.928641
发表时间:
2014-10-01
影响因子:
1.7
作者:
Kettenbach, Joachim;Kara, Levent;Kronreif, Gernot
通讯作者:
Kronreif, Gernot
影响因子:
10.9
作者:
Fichtinger, Gabor;Fiene, Jonathan P.;Kazanzides, Peter
通讯作者:
Kazanzides, Peter
影响因子:
5.9
作者:
Kloeppel, R;Weisse, T;Pecher, S
通讯作者:
Pecher, S
影响因子:
19.7
作者:
HAAGA, JR;ALFIDI, RJ
通讯作者:
ALFIDI, RJ