The Statistical Evaluation of Data Obtained via the Manual Segmentation of MRI images of a Pathological Tissue

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110554" target="_blank" >RIV/00216305:26220/14:PU110554 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68081731:_____/14:00433089

Výsledek na webu

<a href="http://piers.org/piersproceedings/download.php?file=cGllcnMyMDE0R3Vhbmd6aG91fDNQMF8xODk4LnBkZnwxNDAzMjAwNDUyNTQ=" target="_blank" >http://piers.org/piersproceedings/download.php?file=cGllcnMyMDE0R3Vhbmd6aG91fDNQMF8xODk4LnBkZnwxNDAzMjAwNDUyNTQ=</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Statistical Evaluation of Data Obtained via the Manual Segmentation of MRI images of a Pathological Tissue

Popis výsledku v původním jazyce

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).

Název v anglickém jazyce

The Statistical Evaluation of Data Obtained via the Manual Segmentation of MRI images of a Pathological Tissue

Popis výsledku anglicky

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).

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/GAP102%2F12%2F1104" target="_blank" >GAP102/12/1104: Studium metabolizmu a lokalizace primárního mozkového tumoru MR zobrazovacími technikami</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

PIERS 2014 Guangzhou Proceedings

ISBN

978-1-934142-28-8

ISSN

1559-9450

e-ISSN

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Počet stran výsledku

4

Strana od-do

1898-1901

Název nakladatele

Neuveden

Místo vydání

Guangzhou, China

Místo konání akce

Guangzhou

Datum konání akce

25. 8. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000393225900421