TY - JOUR
T1 - Real-time pose detection for magnetic-assisted medical applications by means of a hybrid deterministic/stochastic optimization method
AU - Alb, Michael
AU - Alotto, Piergiorgio
AU - Capasso, G.
AU - Guarnieri, M.
AU - Magele, Christian
AU - Renhart, Werner
PY - 2016/2/17
Y1 - 2016/2/17
N2 - Some classes of bone fractures are routinely stabilized and aligned by the use of intramedullary nails. The identification of the pose, i.e., the position and the orientation of the drill holes hidden by a bone and the tissue is currently obtained by X-ray with all the well-known disadvantages of this technology. The idea of substituting this methodology with an eddy-current-based one has been explored in the previous work, but, in spite of interesting features, the developed technique suffered from some shortcomings. In this paper, we propose a novel technique that is very computationally efficient and provides real-time identification performance.
AB - Some classes of bone fractures are routinely stabilized and aligned by the use of intramedullary nails. The identification of the pose, i.e., the position and the orientation of the drill holes hidden by a bone and the tissue is currently obtained by X-ray with all the well-known disadvantages of this technology. The idea of substituting this methodology with an eddy-current-based one has been explored in the previous work, but, in spite of interesting features, the developed technique suffered from some shortcomings. In this paper, we propose a novel technique that is very computationally efficient and provides real-time identification performance.
U2 - 10.1109/TMAG.2015.2480156
DO - 10.1109/TMAG.2015.2480156
M3 - Article
VL - 52
JO - IEEE Transactions on Magnetics
JF - IEEE Transactions on Magnetics
IS - 3
M1 - 5100104
ER -