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Kompiuterine vaizdų analize pagrįstos sistemos, skirtos galvos smegenų tyrimams, analizė ir algoritmų plėtra / Systems based on computer image analysis and used for human brain research, analysis and development of algorithms

One of the main problems in neurosurgery is knowledge about human brain. It's very important to see the whole brain with its critical neurostructures in virtual reality. This document is about three dimensional human brain visualization strategies. Review most recently used three dimensional objects building strategies from two dimensional medical MRI images. This task was split into 4 significant problems: image segmentation, point-sets correspondence, image registration and its frequently used transformation functions with image matching measurements. All these problems were addressed reader to show most recently used algorithms with advantages and disadvantages. Atlas types, patterns and maps survey was introduced with widely popular brain model coordinate systems. In order to find a better correspondence between two point sets it was modeled a new robust and accurate Overhauser spline points location optimization algorithm. Instead of deletion outlier points from overloaded point set, this algorithm generates more points in other set at optimized points locations. Determination of an accurate point location and choosing the correct transformation function are the key steps in registration process. Whereas registration is vital task in precise human brain visualization for neurosurgeries at preoperative and intraoperative process.

Identiferoai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2005~D_20050523_162613-36873
Date23 May 2005
CreatorsMaknickas, Ramūnas
ContributorsBarauskas, Rimantas, Jasinevičius, Raimundas, Telksnys, Laimutis, Plukas, Kostas, Maciulevi��ius, Stasys, Punys, Vytenis, Plėštys, Rimantas, Mockus, Jonas, Pranevičius, Henrikas, Kaunas University of Technology
PublisherLithuanian Academic Libraries Network (LABT), Kaunas University of Technology
Source SetsLithuanian ETD submission system
LanguageLithuanian
Detected LanguageEnglish
TypeMaster thesis
Formatapplication/pdf
Sourcehttp://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20050523_162613-36873
RightsUnrestricted

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