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Automatic planning of a safe drilling path to be used in cochlear implantation surgery using image registration techniques

dc.creatorAl-Marzouqi, Hasan Mohammed
dc.date.accessioned2020-08-22T00:40:45Z
dc.date.available2007-06-29
dc.date.issued2006-06-29
dc.identifier.urihttps://etd.library.vanderbilt.edu/etd-05082006-104646
dc.identifier.urihttp://hdl.handle.net/1803/12281
dc.description.abstractThe procedure currently used for cochlear implantation can be improved with the aid of techniques developed in medical imaging. A suitable path accessing the cochlea can be determined before the operation by locating a point in the facial recess and another point in the basal turn of the cochlear on the CT image of the patient’s ear. Outlines of those two structures are drawn by a qualified surgeon creating an atlas that is used to identify the same structures in the patients’ ears. By registering the atlas image to the patient image and tracking the deformations applied to the labeled voxels in the atlas, the location of those structures can be determined. A 12 parameter affine registration is performed first using mutual information as a similarity measure. After that a non rigid registration algorithm (Adaptive Bases Algorithm) is applied to register the ear in the atlas to the patient’s ear. The structures outlined in the atlas are deformed using the computed transformations and the resulting intensity centroids are used to draw the required safe path. The developed algorithm succeeded in finding a suitable path in all of the nine ears it was tested on.
dc.format.mimetypeapplication/pdf
dc.subjectimage segmentation
dc.subjectimage guided surgery
dc.subjectComputer-assisted surgery
dc.subjectStereotaxic techniques
dc.subjectCochlear implants
dc.subjectcochlear implantation
dc.subjectatlas based segmentation
dc.subjectimage registration
dc.titleAutomatic planning of a safe drilling path to be used in cochlear implantation surgery using image registration techniques
dc.typethesis
dc.contributor.committeeMemberBenoit Dawant
dc.contributor.committeeMemberMichael Fitzpatrick
dc.type.materialtext
thesis.degree.nameMS
thesis.degree.levelthesis
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorVanderbilt University
local.embargo.terms2007-06-29
local.embargo.lift2007-06-29


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