Title:
Non-rigid image registration for deep brain stimulation surgery

dc.contributor.advisor Skrinjar, Oskar
dc.contributor.author Khan, Muhammad Faisal en_US
dc.contributor.committeeMember Allen Tannenbaum
dc.contributor.committeeMember Anthony Yezzi
dc.contributor.committeeMember John Oshinski
dc.contributor.committeeMember Patricio Vela
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2009-01-22T15:44:47Z
dc.date.available 2009-01-22T15:44:47Z
dc.date.issued 2008-11-05 en_US
dc.description.abstract Deep brain stimulation (DBS) surgery, a type of microelectrode-guided surgery, is an effective treatment for the movement disorders patients that can no longer be treated by medications. New rigid and non-rigid image registration methods were developed for the movement disorders patients that underwent DBS surgery. These new methods help study and analyze the brain shift during the DBS surgery and perform atlas-based segmentation of the deep brain structures for the DBS surgery planning and navigation. A diploë based rigid registration method for the intra-operative brain shift analysis during the DBS surgery was developed. The proposed method for the brain shift analysis ensures rigid registration based on diploë only, which can be treated as a rigid structure as opposed to the brain tissues. The results show that the brain shift during the DBS surgery is comparable to the size of the DBS targets and should not be neglected. This brain shift may further lengthen and complicate the DBS surgery contrary to the common belief that brain shift during the DBS surgery is not considerable. We also developed an integrated electrophysiological and anatomical atlas with eleven deep brain structures segmented by an expert, and electrophysiological data of four implant locations obtained from post-op MRI data of twenty patients that underwent DBS surgery. This atlas MR image is then non-rigidly registered with the pre-operative patient MR image, which provides initial DBS target location along with the segmented deep brain structures that can be used for guidance during the microelectrode mapping of the stereotactic procedure. The atlas based approach predicts the target automatically as opposed to the manual selection currently used. The results showed that 85% of the times, this automatic selection of the target location was closer to the target when compared to currently used technique. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/26546
dc.publisher Georgia Institute of Technology en_US
dc.subject Non-rigid registration en_US
dc.subject Image registration en_US
dc.subject DBS surgery en_US
dc.subject Atlas based segmentation en_US
dc.subject Brain shift en_US
dc.subject.lcsh Movement disorders
dc.subject.lcsh Brain stimulation
dc.subject.lcsh Brain Surgery
dc.subject.lcsh Image registration
dc.subject.lcsh Diagnostic imaging
dc.subject.lcsh Magnetic resonance imaging
dc.title Non-rigid image registration for deep brain stimulation surgery en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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