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

Blahuta, J.; Soukup, T.; Lavrincik, J.; Pavlik, L.
Abstract:
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 > 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.
SGEM Research areas:
Year:
2021
Type of Publication:
In Proceedings
Keywords:
echogenicity index;MR-images;B-images
Editor:
• Prof. DSc. Oleksandr Trofymchuk, UKRAINE • Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Volume:
21
SGEM Book title:
21st International Multidisciplinary Scientific GeoConference SGEM 2021
Book number:
2.1
SGEM Series:
SGEM International Multidisciplinary Scientific GeoConference
Pages:
69-76
Publisher address:
51 Al. Malinov blvd, Sofia, 1712, Bulgaria
SGEM supporters:
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci
Period:
16 - 22 August, 2021
ISBN:
978-619-7603-22-4
ISSN:
1314-2704
Conference:
21st International Multidisciplinary Scientific GeoConference SGEM 2021, 16 - 22 August, 2021
DOI:
10.5593/sgem2021/2.1/s07.26
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