Computed tomography dataset analysis for stereotaxic neurosurgery navigation

Avrunin, O.; Tymkovych, M.; Semenets, V.; Piatykop, V.

Публікація:
Computed tomography dataset analysis for stereotaxic neurosurgery navigation

dc.contributor.author	Avrunin, O.
dc.contributor.author	Tymkovych, M.
dc.contributor.author	Semenets, V.
dc.contributor.author	Piatykop, V.
dc.date.accessioned	2023-04-17T17:48:07Z
dc.date.available	2023-04-17T17:48:07Z
dc.date.issued	2019
dc.description.abstract	Experience of design methods of image-guided navigation for stereotaxis neurosurgery is described. The above approach allows obtaining high accuracy to identify spatial the position of the reference stereotactic landmarks. Visualization of the contours of the third ventricle gives the ability to calculate the center of intracerebral stereotactic coordinates system. Use of the proposed techniques in the clinic allows significantly (up to 20%) to improve the effectiveness of stereotactic operations in parkinsonism. Methods for computer tomography image processing are proposed and analyzed. Further, increase accuracy stereotactic targeting functional surgery is associated with the development of machine analysis algorithms tomographic data with a view maximum recognition automation intracerebral landmarks taking into account their individual variability and allow to improve systems for surgical planning by using virtual and full-scale simulation modeling of the main stages a surgical intervention.
dc.identifier.citation	Computed tomography dataset analysis for stereotaxic neurosurgery navigation / O. Avrunin, M. Tymkovych, V. Semenets, V. Piatykop // 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL*2019) : сonference proceedings, Sozopol, Bulgaria, 6-8 September 2019. – P. 606–609.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/22655
dc.language.iso	en
dc.subject	stereotaxis
dc.subject	visualization
dc.subject	image processing
dc.subject	image-guided surgery
dc.subject	navigation
dc.title	Computed tomography dataset analysis for stereotaxic neurosurgery navigation
dc.type	Article
dspace.entity.type	Publication