Multimodal and Multiparametric Spatial Segmentation of Spine

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>

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

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20601 - Medical engineering

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

Publication year

2020

Confidentiality

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

Article name in the collection

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

ISBN

978-1-7281-5600-2

ISSN

—

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