Multimodal and Multiparametric Spatial Segmentation of Spine

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Multimodal and Multiparametric Spatial Segmentation of Spine

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Multimodal and Multiparametric Spatial Segmentation of Spine

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20601 - Medical engineering

Projekt

<a href="/cs/project/NV18-08-00459" target="_blank" >NV18-08-00459: Prostorová analýza silového zatížení deformované rostoucí páteře a využití modelování korekčních sil k minimalizaci rozsahu operace skoliozy.</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 2020 19th International Conference on Mechatronics – Mechatronika (ME)

ISBN

978-1-7281-5600-2

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

89-93

Název nakladatele

Czech Technical University in Prague, Faculty of Electrical Engineering

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

2. 12. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000662155700017