USING IMAGE PROCESSING SOFTWARE DEVELOPED FOR B-IMAGING ON MR IMAGES BASED ON THRESHOLDING ALGORITHM IN A SELECTABLE REGION OF INTEREST

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F21%3AN0000036" target="_blank" >RIV/26867184:_____/21:N0000036 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.5593/sgem2021/2.1/s07.26" target="_blank" >http://dx.doi.org/10.5593/sgem2021/2.1/s07.26</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/sgem2021/2.1/s07.26" target="_blank" >10.5593/sgem2021/2.1/s07.26</a>

Result language

angličtina

Original language name

USING IMAGE PROCESSING SOFTWARE DEVELOPED FOR B-IMAGING ON MR IMAGES BASED ON THRESHOLDING ALGORITHM IN A SELECTABLE REGION OF INTEREST

Original language description

In 2011, we developed our application for B-imaging based on binary thresholding algorithm in a selectable Region of Interest. This application has been used in many studies focused on ultrasound B-imaging in neurology; primarily for substantia nigra echogenicity examination and also for some different brain structures, e.g. mediotemporal lobe atrophy investigation. One of principal output value is an echogenicity index which is used as a marker of the echogenicity grade. Many published studies showed that is well applicable in B-imaging analysis. The lower index corresponds to the lower echogenicity grade and vice versa. Due to the principle of the thresholding of the images in gray-scale, the application could be also used for MR images. Thus, we have analyzed totally of 52 MR images to observe changing of the echogenicity index. In MR images, we have measured a dark and a light ROI area similarly as for different echogenicity of US image. We use the same descriptor as in the case of US images; the echogenicity index. In this study, images in DCM and IMA formats were analyzed. In result, the echogenicity index is significantly different for light and dark area. Thus, the application could be well-applicable also for MR images analysis. This is not a clinical study; we use the same ROI independently on examined structure. The ROI is placed on any dark and on any light area only to observe changing the echogenicity index. We have analyzed two features: the difference between dark and light area and the difference between two non-experienced observers. In all cases, the echogenicity index was higher for light than for dark area and in many cases more than triple. The difference between observers for the same image and the same ROI is insignificant. Minimal value of the index was 9.44 and maximal achieved was 105.67. In majority, the index &gt; 50 for light area and under 50 for dark area. This is key feature that echogenicity index could be applied as a marker also for MR images.

Czech name

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Czech description

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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)

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2021

Confidentiality

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

Article name in the collection

21st International Multidisciplinary Scientific GeoConference SGEM 2021

ISBN

9786197603224

ISSN

1314-2704

e-ISSN

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Number of pages

8

Pages from-to

195-202

Publisher name

International Multidisciplinary Scientific Geoconference SGEM

Place of publication

Sofia, Bulgaria

Event location

Sofia, Bulgaria

Event date

Jan 1, 2021

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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