Measuring and evaluation of the echogenicity grade of substantia nigra in MRI sequences vs B-mode ultrasound imaging using the same algorithm: pilot comparison study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F22%3AN0000043" target="_blank" >RIV/26867184:_____/22:N0000043 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5593/sgem2022/2.1/s07.08" target="_blank" >http://dx.doi.org/10.5593/sgem2022/2.1/s07.08</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/sgem2022/2.1/s07.08" target="_blank" >10.5593/sgem2022/2.1/s07.08</a>
Alternative languages
Result language
angličtina
Original language name
Measuring and evaluation of the echogenicity grade of substantia nigra in MRI sequences vs B-mode ultrasound imaging using the same algorithm: pilot comparison study
Original language description
Diagnostic ultrasound (US) and magnetic resonance imaging (MRI) are important medical imaging methods in modern radiology. Our research is focused on imaging brain structures in neurology. In this paper we present differences of digital image analysis of the substantia nigra (SN) between US and MRI using the same algorithm. In the past, we developed an application for analyzing substantia nigra echogenicity in BMODE US images. Our developed application is based on a principle of binary thresholding in Region of Interest (ROI) to evaluate echogenicity grade. Increased echogenicity of SN is one of important markers for Parkinson’s Disease (PD) progress. The goal of this paper is to analyze if the same principle used for US B-MODE imaging is also applicable for different MR sequences to find out SN changes. From the achieved results detectable SN changes using MRI are possible at least as a complementary examination to US imaging. We need to prove if echogenicity index (called Echo-Index) is well reproducible value between two different MR sequences; SWI and T2-TSE; how to distinguish between pathological SN and normal anatomy. In the first pilot analysis, it seems that the principle of Echo-Index measurement could be a starting point to create a new large clinical study in this field. Totally 23 MR images from two different sequences (T1 and T2) were analyzed in this pilot study. However, it seems that Echo-Index cannot distinguish normal and diseased SN.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
22nd International Multidisciplinary Scientific GeoConference SGEM 2022
ISBN
9786197603408
ISSN
1314-2704
e-ISSN
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Number of pages
8
Pages from-to
59-66
Publisher name
International Multidisciplinary Scientific Geoconference SGEM
Place of publication
Sofia, Bulgaria
Event location
Sofia, Bulgaria
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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