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SUMMARY:Pushing the boundaries of deep brain stimulation imaging
DTSTART:20161129T173000
DTEND:20161129T190000
DTSTAMP:20260916T002737Z
UID:51477a479c025b8dae801e6c894c40a4ce9d0d925a4934230cbdded0
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Laleh Golestanirad\, Instructor\, Radiology\, AA. Martinos
  Center\, Massachusetts General Hospital\, Harvard Medical School\nThe rol
 e of computer modeling in patient-specific MRI hardware development and su
 rgical lead management\n \n\n\nDuring the past decade\, deep brain stimul
 ation (DBS) of the human brain has developed into a remarkable treatment f
 or several major disabling neurological and psychiatric disorders. Despite
  general effectiveness of DBS\, its underlying mechanism of action are unc
 lear and its optimal therapeutic protocols remain controversial. Due to it
 s unparalleled soft-tissue contrast\, magnetic resonance imaging (MRI) is 
 excellently poised for DBS target verification and evaluation of treatment
 -induced changes in function of affected brain networks. Today however\, h
 igh-field MRI (>1.5 T) is largely inaccessible to patients with DBS implan
 ts due to safety concerns\, and postoperative MRI at 1.5 T is practiced in
  only few centers and under strict safety guidelines that severely limit i
 mage quality. Improvements in MRI hardware and DBS device management strat
 egies that enable safe and high-resolution imaging of implanted electrodes
  and target structures can dramatically improve our ability to monitor dyn
 amic changes induced by neurostimulation\, in deep brain nuclei\, and comb
 ine this information with high spatial resolution anatomical images. Such 
 a leap could revolutionize image-guided neurostimulation as it provides MR
 I as a crucial diagnostic tool for the development of novel therapeutics.\
 n\nThe major safety concern in MRI of patients with wire implants is the s
 o-called “antenna effect”. Here\, the electric field of the MRI transm
 itter couples with long implanted DBS leads and causes the specific absorp
 tion rate (SAR) of the radiofrequency (RF) energy to significantly amplify
  at the implant’s tip. This talk introduces two recent approaches that w
 e recently developed at Harvard Medical School to address this issue\; Fir
 st\, we have demonstrated that the SAR problem during 3.0 T MRI can be sig
 nificantly reduced by applying a clinical lead management strategy that op
 timizes the routing of extracranial leads. Second\, we introduced the firs
 t generation of patient-specific reconfigurable MRI coils that demonstrate
 d great promise to reduce SAR and image artifacts during DBS imaging at 1.
 5 T. I will talk about the challenges that we face to propagate these nove
 l methodologies into widespread clinical practice\, and the crucial role o
 f computational modeling to obtain a reliable measure of tissue heating an
 d safety margins in realistic patient populations.\n\n\n\nBio: Dr. Golesta
 nirad obtained her PhD in 2011 in Electrical Engineering from École Poly
 technique Fédérale de Lausanne and then pursued a fellowship in medica
 l biophysics at University of Toronto. She is now Instructor in Radiology 
 at Harvard Medical School and Faculty of Martinos Center for Biomedical Im
 aging at Massachusetts General Hospital.\n\nHer research combines RF engin
 eering and numerical modeling\, magnetic resonance imaging hardware develo
 pment\, cognitive neuroimaging\, and computational neuroscience. She is a 
 three-time awardee of Swiss National Science Foundation fellowships for pr
 ospect and advanced researchers and currently holds the US National Instit
 ute of Health Pathway to Independence Career Award.
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STATUS:CONFIRMED
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