Multimodal and Multiparametric Spatial Segmentation of Spine
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU138061" target="_blank" >RIV/00216305:26220/20:PU138061 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9286666" target="_blank" >https://ieeexplore.ieee.org/document/9286666</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ME49197.2020.9286666" target="_blank" >10.1109/ME49197.2020.9286666</a>
Alternative languages
Result language
angličtina
Original language name
Multimodal and Multiparametric Spatial Segmentation of Spine
Original language description
Scoliosis embodies the most frequent three dimensional spinal deformities in children. Only timely treatment during the growth of the spine may significantly reduce related health problems inflicted by the deformity on adults. The results obtained via conservative therapy are problematic, and a certain degree of curvature already requires surgical treatment that currently consists in repeated spinal surgeries posing a high risk of complications. The aim is to use a spine model for computer based simulation of changes in the stress on the spine during idiopathic and syndromic deformity correction via vertebral osteotomy. One of the goals of the work was resampling and registration of the CT and MR image sequences. CT volumes provided solid contrast. Due to the low quality of the MRI volumes image data CT were used as a reference for gaining properly segmented groups of vertebrae. The concern of this work is a development of an extension module for 3D Slicer platform. The core of the module is an implementation of a Support Vector Machines classifier, which is used for segmentation of the vertebra image data provided by the University Hospital Brno. The resampling and registration techniques has been optimized to process the MR and CT data of all imaging sequences. CT volumes provide solid contrast and were used as a reference for gaining properly segmented groups of vertebrae. The extension module scripted in Python language is freely accessible as a 3D Slicer tool and can be used in the future to process new datasets.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
<a href="/en/project/NV18-08-00459" target="_blank" >NV18-08-00459: Spatial Analysis of the Force Load on a Deformed Developing Spine, and Corrective Force Modelling Applied to Minimize the Scope of a Scoliosis Surgery.</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2020 19th International Conference on Mechatronics – Mechatronika (ME)
ISBN
978-1-7281-5600-2
ISSN
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e-ISSN
—
Number of pages
5
Pages from-to
89-93
Publisher name
Czech Technical University in Prague, Faculty of Electrical Engineering
Place of publication
Praha
Event location
Praha
Event date
Dec 2, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000662155700017