Analysis of the Role of Lead Resistivity in Specific Absorption Rate for Deep Brain Stimulator Leads at 3T MRI

Magnetic resonance imaging (MRI) on patients with implanted deep brain stimulators (DBSs) can be hazardous because of the antenna-effect of leads exposed to the incident radio-frequency field. This study evaluated electromagnetic field and specific absorption rate (SAR) changes as a function of lead resistivity on an anatomically precise head model in a 3T system. The anatomical accuracy of our head model allowed for detailed modeling of the path of DBS leads between epidermis and the outer table. Our electromagnetic finite difference time domain (FDTD) analysis showed significant changes of 1 g and 10 g averaged SAR for the range of lead resistivity modeled, including highly conductive leads up to highly resistive leads. Antenna performance and whole-head SAR were sensitive to the presence of the DBS leads only within 10%, while changes of over one order of magnitude were observed for the peak 10 g averaged SAR, suggesting that local SAR values should be considered in DBS guidelines. With ¿lead = ¿copper , and the MRI coil driven to produce a whole-head SAR without leads of 3.2 W/kg, the 1 g averaged SAR was 1080 W/kg and the 10 g averaged SAR 120 W/kg at the tip of the DBS lead. Conversely, in the control case without leads, the 1 g and 10 g averaged SAR were 0.5 W/kg and 0.6 W/kg, respectively, in the same location. The SAR at the tip of lead was similar with electrically homogeneous and electrically heterogeneous models. Our results show that computational models can support the development of novel lead technology, properly balancing the requirements of SAR deposition at the tip of the lead and power dissipation of the system battery.

[1]  W. Kainz,et al.  MRI‐induced heating of selected thin wire metallic implants – laboratory and computational studies – findings and new questions raised , 2006, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

[2]  P. A. Mason,et al.  Empirical validation of SAR values predicted by FDTD modeling * † , 2002, Bioelectromagnetics.

[3]  G. S. Smith Analysis of Miniature Electric Field Probes with Resistive Transmission Lines , 1981 .

[4]  G. Bonmassar,et al.  Resistive tapered stripline (RTS) in electroencephalogram recordings during MRI , 2004, IEEE Transactions on Microwave Theory and Techniques.

[5]  M Alecci,et al.  Radio frequency magnetic field mapping of a 3 Tesla birdcage coil: Experimental and theoretical dependence on sample properties , 2001, Magnetic resonance in medicine.

[6]  O. Gandhi,et al.  Specific absorption rates and induced current densities for an anatomy‐based model of the human for exposure to time‐varying magnetic fields of MRI , 1999, Magnetic resonance in medicine.

[7]  Niels Kuster,et al.  Dosimetric comparison of the specific anthropomorphic mannequin (SAM) to 14 anatomical head models using a novel definition for the mobile phone positioning , 2005, Physics in medicine and biology.

[8]  G. Bruce Pike,et al.  Standing-wave and RF penetration artifacts caused by elliptic geometry: an electrodynamic analysis of MRI , 1998, IEEE Transactions on Medical Imaging.

[9]  Chung-Kwang Chou,et al.  RF heating of implanted spinal fusion stimulator during magnetic resonance imaging , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  Edson Amaro,et al.  Performing functional magnetic resonance imaging in patients with Parkinson's disease treated with deep brain stimulation , 2006, Movement disorders : official journal of the Movement Disorder Society.

[11]  Georg Frese,et al.  Specific Absorption Rate as a Poor Indicator of Magnetic Resonance-Related Implant Heating , 2005, Investigative radiology.

[12]  Constantine A. Balanis,et al.  Antenna Theory: Analysis and Design , 1982 .

[13]  J. Patrick Reilly,et al.  Applied Bioelectricity: From Electrical Stimulation to Electropathology , 1998 .

[14]  K. Caputa,et al.  An algorithm for computations of the power deposition in human tissue , 1999 .

[15]  Jean A. Tkach,et al.  Is magnetic resonance imaging safe for patients with neurostimulation systems used for deep brain stimulation? , 2005, Neurosurgery.

[16]  John B. Schneider,et al.  An analytical and numerical analysis of several locally conformal FDTD schemes , 1999 .

[17]  Lin Tang,et al.  Electromagnetic and modeling analyses of an implanted device at 3 and 7 Tesla , 2007, Journal of magnetic resonance imaging : JMRI.

[18]  Jean-Pierre Berenger,et al.  A perfectly matched layer for the absorption of electromagnetic waves , 1994 .

[19]  Ashwini Sharan,et al.  Neurostimulation systems for deep brain stimulation: In vitro evaluation of magnetic resonance imaging–related heating at 1.5 tesla , 2002, Journal of magnetic resonance imaging : JMRI.

[20]  K. Uğurbil,et al.  Temperature and SAR calculations for a human head within volume and surface coils at 64 and 300 MHz , 2004, Journal of magnetic resonance imaging : JMRI.

[21]  David N. Kennedy,et al.  MRI-based anatomical model of the human head for specific absorption rate mapping , 2008, Medical & Biological Engineering & Computing.

[22]  Giorgio Bonmassar,et al.  EEG/(f)MRI measurements at 7 Tesla using a new EEG cap (“InkCap”) , 2006, NeuroImage.

[23]  Giorgio Bonmassar,et al.  On the effect of resistive EEG electrodes and leads during 7 T MRI: simulation and temperature measurement studies. , 2006, Magnetic resonance imaging.

[24]  D. Werner,et al.  The Characterization of Conductive Textile Materials Intended for Radio Frequency Applications , 2007, IEEE Antennas and Propagation Magazine.

[25]  C Gabriel,et al.  The dielectric properties of biological tissues: I. Literature survey. , 1996, Physics in medicine and biology.

[26]  Jean A. Tkach,et al.  Permanent Neurological Deficit Related to Magnetic Resonance Imaging in a Patient with Implanted Deep Brain Stimulation Electrodes for Parkinson’s Disease: Case Report , 2005, Neurosurgery.

[27]  S. C. DeMarco,et al.  Computed SAR and Thermal Elevation in a 0 . 25-mm 2-D Model of the Human Eye and Head in Response to an Implanted Retinal Stimulator — Part I : Models and Methods , 2001 .

[28]  Robert E Gross,et al.  Deep brain stimulation for Parkinson's disease: Surgical technique and perioperative management , 2006, Movement disorders : official journal of the Movement Disorder Society.

[29]  W. Grill Safety considerations for deep brain stimulation: review and analysis , 2005, Expert review of medical devices.

[30]  N. M. Sheikh,et al.  MRI INDUCED HEATING OF DEEP BRAIN STIMULATION LEADS: EFFECT OF THE AIR-TISSUE INTERFACE , 2008 .

[31]  C. Collins,et al.  Calculations ofB1 distribution, specific energy absorption rate, and intrinsic signal-to-noise ratio for a body-size birdcage coil loaded with different human subjects at 64 and 128 MHz , 2005, Applied magnetic resonance.

[32]  Jean A. Tkach,et al.  Neurostimulation system used for deep brain stimulation (DBS): MR safety issues and implications of failing to follow safety recommendations. , 2004, Investigative radiology.

[33]  Michael B. Smith,et al.  Signal‐to‐noise ratio and absorbed power as functions of main magnetic field strength, and definition of “90°” RF pulse for the head in the birdcage coil , 2001, Magnetic resonance in medicine.

[34]  E B Larsen,et al.  Design and Calibration of the NBS Isotropic Electric-Field Monitor (EFM- 5), 0.2 to 1000 MHz , 1981 .

[35]  T. Ibrahim,et al.  Dielectric resonances and B(1) field inhomogeneity in UHFMRI: computational analysis and experimental findings. , 2001, Magnetic resonance imaging.

[36]  K. Yee Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media , 1966 .

[37]  W. Chew,et al.  Computation of electromagnetic fields for high-frequency magnetic resonance imaging applications. , 1996, Physics in medicine and biology.

[38]  Emmanuel Perrin,et al.  RF‐induced temperature elevation along metallic wires in clinical magnetic resonance imaging: Influence of diameter and length , 2004, Magnetic resonance in medicine.

[39]  O.P. Gandhi,et al.  Thermal implications of the new relaxed IEEE RF safety standard for head exposures to cellular telephones at 835 and 1900 MHz , 2006, IEEE Transactions on Microwave Theory and Techniques.

[40]  David Djajaputra,et al.  RF / Microwave Interaction with Biological Tissues , 2006 .

[41]  H. Ho,et al.  Safety of metallic implants in magnetic resonance imaging , 2001, Journal of magnetic resonance imaging : JMRI.

[42]  S. C. DeMarco,et al.  Computed SAR and thermal elevation in a 0.25-mm 2-D model of the human eye and head in response to an implanted retinal stimulator - part I: models and methods , 2003 .

[43]  J. Belliveau,et al.  Metallic electrodes and leads in simultaneous EEG‐MRI: Specific absorption rate (SAR) simulation studies , 2004, Bioelectromagnetics.

[44]  R. Luebbers,et al.  The Finite Difference Time Domain Method for Electromagnetics , 1993 .

[45]  Paolo Bernardi,et al.  Specific absorption rate and temperature elevation in a subject exposed in the far-field of radio-frequency sources operating in the 10-900-MHz range , 2003, IEEE Transactions on Biomedical Engineering.

[46]  Jean A. Tkach,et al.  Reduction of Magnetic Resonance Imaging-related Heating in Deep Brain Stimulation Leads Using a Lead Management Device , 2005, Neurosurgery.

[47]  Jean A. Tkach,et al.  Variability in RF‐induced heating of a deep brain stimulation implant across MR systems , 2006, Journal of magnetic resonance imaging : JMRI.

[48]  Mark S. Mirotznik,et al.  Numerical evaluation of heating of the human head due to magnetic resonance imaging , 2004, IEEE Transactions on Biomedical Engineering.