Počet záznamů: 1
The Statistical Evaluation of Data Obtained via the Manual Segmentation of MRI Images of a Pathological Tissue
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SYSNO ASEP 0433089 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název The Statistical Evaluation of Data Obtained via the Manual Segmentation of MRI Images of a Pathological Tissue Tvůrce(i) Marcon, P. (CZ)
Mikulka, J. (CZ)
Gescheidtová, E. (CZ)
Bartušek, Karel (UPT-D) RID, ORCID, SAI
Šprláková, A. (CZ)Celkový počet autorů 5 Zdroj.dok. PIERS 2014 Guangzhou Proceedings. - Cambridge : The Electromagnetics Academy, 2014 - ISBN 978-1-934142-28-8 Rozsah stran s. 1898-1901 Poč.str. 4 s. Forma vydání Tištěná - P Akce PIERS 2014. Progress In Electromagnetics Research Symposium /35./ Datum konání 25.08.2014-28.08.2014 Místo konání Guangzhou Země CN - Čína Typ akce WRD Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova manual segmentation ; MRI ; pathological tissue Vědní obor RIV JA - Elektronika a optoelektronika, elektrotechnika Obor OECD Other medical science CEP GAP102/12/1104 GA ČR - Grantová agentura ČR Institucionální podpora UPT-D - RVO:68081731 UT WOS 000393225900421 EID SCOPUS 84911167088 Anotace The authors present a statistical evaluation of the MRI images of bones and soft tissues. MRI imaging of small bones is a problem issue because the measured bone images are loaded with susceptibility artifacts and low signal-to-noise ratio. Therefore, we compare the commonly used MRI contrast and looking for the best contrast to bone marrow imaging. The acquired images are classified in terms of the signal-to-noise ratio, intensity difference and steepness of the edges. The aim of this research was to statistically evaluate and determine the deviation of MRI images; this step was performed by several experts. These specialists conducted proper segmenting of pathological and healthy tissues, and they also compared the selected areas. In some cases, especially when the boundaries of the area are not clearly visible, the problem is to delimit the bone marrow area. Therefore, it is not possible to use automatic segmentation algorithms, and we focused on the manual evaluation of the statistical data in the area of the patient's bone marrow pathology (e.g., the probability of cyst formation can be determined from abnormal levels of vitamin D and osteocalcin). Pracoviště Ústav přístrojové techniky Kontakt Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Rok sběru 2015
Počet záznamů: 1