The Process Of Ct Image Classifier Optimization For Pedatric Spine Segmentation

Loading...
Thumbnail Image
Date
2021
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
Computed tomography (CT) is a method commonly used when generating images ofa spine diagnosed with scoliosis. The main reason for this common employment is found in itspracticality: the spine in the image is clearly visible. However, while portraying, a child is exposedto a dose of radiation. To eliminate a risk of children being negatively affected, this article is tryingto find the best technique of segmentation, that could be applied also while using magneticresonance imaging (MRI). It implements a 3D Slicer equipped with Support Vector Machines(SVM) Classifier plug-in to search for the best feature combination. Afterwards, segmentationresults are compared to ground truth image, where the area of hard tissue is determined. The aim isto get Dice coefficients as close as possible to 1.
Description
Citation
Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 83-86. ISBN 978-80-214-5942-7
https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
cs
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
DOI
Citace PRO