Paper Info
Title
MRI-Based Multiscale Model for Electromagnetic Analysis in the Human Head with Implanted DBS.
Abstract
Deep brain stimulation (DBS) is an established procedure for the treatment of movement and affective disorders. Patients with DBS may benefit from magnetic resonance imaging (MRI) to evaluate injuries or comorbidities. However, the MRI radio-frequency (RF) energy may cause excessive tissue heating particularly near the electrode. This paper studies how the accuracy of numerical modeling of the RF field inside a DBS patient varies with spatial resolution and corresponding anatomical detail of the volume surrounding the electrodes. A multiscale model (MS) was created by an atlas-based segmentation using a 1 mm(3) head model (mRes) refined in the basal ganglia by a 200 mu m(2) ex-vivo dataset. Four DBS electrodes targeting the left globus pallidus internus were modeled. Electromagnetic simulations at 128 MHz showed that the peak of the electric field of the MS doubled (18.7 kV/m versus 9.33 kV/m) and shifted 6.4 mm compared to the mRes model. Additionally, the MS had a sixfold increase over the mRes model in peak-specific absorption rate (SAR of 43.9 kW/kg versus 7 kW/kg). The results suggest that submillimetric resolution and improved anatomical detail in the model may increase the accuracy of computed electric field and local SAR around the tip of the implant.
Year
DOI
Venue
2013
10.1155/2013/694171
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Field
DocType
Volume
Biomedical engineering,Rf field,Neuroscience,Computer science,Artificial intelligence,Human head,Deep brain stimulation,Computer vision,Electric field,Left globus pallidus,Numerical modeling,Image resolution,Magnetic resonance imaging
Journal
2013
ISSN
Citations 
PageRank 
1748-670X
2
0.58
References 
Authors
19
5
Name
Order
Citations
PageRank
Maria Ida Iacono172.50
Nikos Makris229236.93
Luca T. Mainardi310626.02
Leonardo M. Angelone4387.63
Giorgio Bonmassar515933.51