A new program for highly reproducible automatic evaluation of the substantia nigra from transcranial sonographic images

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F13%3A%230004800" target="_blank" >RIV/47813059:19240/13:#0004800 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15110/13:33149367 RIV/00843989:_____/14:E0104282

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

A new program for highly reproducible automatic evaluation of the substantia nigra from transcranial sonographic images

Original language description

Aims: Recent studies report increased echogenicity of the substantia nigra (SN) in patients with Parkinson's disease (PD) using transcranial sonography (TCS). However, the main limitation to TCS is its dependence on the sonographer's experience. Experimental software for quantitative evaluation of the echogenic SN area was thus developed by us. The aim of this study was to test the reliability of the data using developed B-Mode Assist software in patients with parkinsonism and in healthy volunteers. Methods: The SN was imaged from the right temporal bone window in mesencephalic plane using TCS. DICOM images of SN were saved, converted into JPEG format, encoded and processed. Two observers performed 3 automatic evaluations of the SN area (measurements of SN area in each gray scale intensity inside the region of interest) by counting the standard deviation of all 6 measurements using developed software. The average value of all 3 measurements of each observer was used for computing Cohen

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FH - Neurology, neuro-surgery, nuero-sciences

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

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

Name of the periodical

Biomedical Papers

ISSN

1213-8118

e-ISSN

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Volume of the periodical

157

Issue of the periodical within the volume

neuveden

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

1-7

UT code for WoS article

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EID of the result in the Scopus database

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