Title :
In Vivo MR-Tracking Based on Magnetic Signature Selective Excitation
Author :
Felfoul, Ouajdi ; Mathieu, Jean-Baptiste ; Beaudoin, Gilles ; Martel, Sylvain
Author_Institution :
Ecole Polytech. de Montreal, Montreal
Abstract :
A novel magnetic resonance (MR)-tracking method specifically developed to locate the ferromagnetic core of an untethered microdevice, microrobot, or nanorobot for navigation or closed-loop control purpose is described. The tracking method relies on the application of radio-frequency (RF) excitation signals tuned to the equipotential magnetic curves generated by the magnetic signature of the object being tracked. Positive contrast projections are obtained with reference to the position of the magnetic source. A correlation function performed on only one k-space line for each of the three axes and corresponding to three projections, is necessary to obtain a 3-D location of the device. In this study, the effects of the sphere size and the RF frequency offset were investigated in order to find the best contrast noise ratio (CNR) for tracking. Resolution and precision were also investigated by proper measurement of the position of a ferromagnetic sphere by magnetic resonance imaging (MRI) acquisition and by comparing them with the real position. This method is also tested for a moving marker where the positions found by MRI projections were compared with the ones taken with a camera. In vitro and in vivo experiments show the operation of the technique in tortuous phantom and in animal models. Although the method was developed in the prospect of new interventional MR-guided endovascular operations based on miniature untethered devices, it could also be used as a passive tracking method using tools such as catheters or guide wires.
Keywords :
biomedical MRI; catheters; closed loop systems; ferromagnetism; magnetic cores; magnetic devices; magnetic moments; medical robotics; microrobots; phantoms; tracking; MRI; animal model; catheter; closed-loop control; contrast noise ratio; equipotential magnetic curve; ferromagnetic core tracking; guide wires; in vivo MR-tracking; interventional MR-guided endovascular operation; k-space line; magnetic dipole; magnetic resonance imaging acquisition; magnetic resonance tracking; magnetic signature selective excitation; medical nanorobot; microrobot; positive contrast projection; radio-frequency excitation; tortuous phantom; untethered microdevice; In vivo; Magnetic cores; Magnetic noise; Magnetic resonance; Magnetic resonance imaging; RF signals; Radio frequency; Radio navigation; Signal generators; Signal to noise ratio; Ferromagnetic core tracking; interventional magnetic resonance imaging (MRI); magnetic dipole; medical nanorobots; passive tracking; radio-frequency (RF) excitation frequencies; Algorithms; Artificial Intelligence; Catheterization; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Pattern Recognition, Automated; Phantoms, Imaging; Reproducibility of Results; Sensitivity and Specificity; Surgery, Computer-Assisted;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2007.897375