Processing of Magnetic Images of Adipose Tissues
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU103344" target="_blank" >RIV/00216305:26220/13:PU103344 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Processing of Magnetic Images of Adipose Tissues
Popis výsledku v původním jazyce
Sufficiently meaningful picture of tissue structure can be obtained by the correct processing of the image data. This can be done by using image analysis, which takes place in several steps: acquisition of data, image adjustment, segmentation, and image description. At first, digital images are obtained, in our case these are the images of soft tissue obtained with using magnetic resonance tomograph (MR). This device is mainly used to display human tissue in medicine. MR is one of the non-destructive methods, does not cause harmful radiation, whose main advantage is the high contrast in the imaging of soft tissues. The contrast of the resulting images can be changed by setting of the pulse sequence (Spin Echo and Inversion Recovery) timing parameters used to measure the monitored tissue. The data acquired by tomograph is necessary reconstruct by using Fourier Transform reconstruction from K-space in to the MAT file as complex data. The next step of image analysis is image improvement, usually by suppression of noise, histogram equalization and segmentation. Noise should be suppressed to improve results of image processing. Linear transform of histogram was adjusted using a median filter. This is an expansion of the range of brightness in order to cover the entire width of the available brightness. The last step of image processing is multiparametric segmentation. It is a process that divides the image to objects of different characteristic. The main methods include the use of edge detector to highlight certain edges. The last step of the analysis is a description of the image; it is a statistical description of segmented objects in an image with subsequent classification. The aim of this paper is to demonstrate the internal morphology of chicken thigh by using MR. All MR images were evaluated using programs Marevisi and Matlab.
Název v anglickém jazyce
Processing of Magnetic Images of Adipose Tissues
Popis výsledku anglicky
Sufficiently meaningful picture of tissue structure can be obtained by the correct processing of the image data. This can be done by using image analysis, which takes place in several steps: acquisition of data, image adjustment, segmentation, and image description. At first, digital images are obtained, in our case these are the images of soft tissue obtained with using magnetic resonance tomograph (MR). This device is mainly used to display human tissue in medicine. MR is one of the non-destructive methods, does not cause harmful radiation, whose main advantage is the high contrast in the imaging of soft tissues. The contrast of the resulting images can be changed by setting of the pulse sequence (Spin Echo and Inversion Recovery) timing parameters used to measure the monitored tissue. The data acquired by tomograph is necessary reconstruct by using Fourier Transform reconstruction from K-space in to the MAT file as complex data. The next step of image analysis is image improvement, usually by suppression of noise, histogram equalization and segmentation. Noise should be suppressed to improve results of image processing. Linear transform of histogram was adjusted using a median filter. This is an expansion of the range of brightness in order to cover the entire width of the available brightness. The last step of image processing is multiparametric segmentation. It is a process that divides the image to objects of different characteristic. The main methods include the use of edge detector to highlight certain edges. The last step of the analysis is a description of the image; it is a statistical description of segmented objects in an image with subsequent classification. The aim of this paper is to demonstrate the internal morphology of chicken thigh by using MR. All MR images were evaluated using programs Marevisi and Matlab.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
JA - Elektronika a optoelektronika, elektrotechnika
OECD FORD obor
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Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
PIERS PROCEEDINGS Progress In Electromagnetics Research Symposium
ISBN
978-1-934142-24-0
ISSN
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e-ISSN
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Počet stran výsledku
3
Strana od-do
385-387
Název nakladatele
The Electromagnetic Academy, USA
Místo vydání
Taipei
Místo konání akce
Taipei
Datum konání akce
25. 3. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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