The ?In Plane? Visualization of the Breathing Movements of Chest and Abdomen Wall

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The ?In Plane? Visualization of the Breathing Movements of Chest and Abdomen Wall

Popis výsledku v původním jazyce

The standard image processing tools were used for the evaluation of the breathing movements in deep breathing. SpeedSence 9060 camera, resolution 1280x800 pixs, 25 frames/s was used for ?in plane? recording (opposite to the chest and abdomen). Firstly the images of the video sequence were sharpened by means of a Laplacian filter in order to highlight surface patterns (the shirt with checked pattern). Sharpened consecutive images were analyzed by the cross-correlation tool of DANTEC Dynamic Studio (segments 64x64 pixs). Resulted matrices of moving vectors for given breathing maneuver were analyzed in MATLAB and their average, maximal and standard deviation values were displayed for interpretation of movement. The sum of consecutive movement vectors displays whole trajectory of body parts. Cross correlation of images at the beginning and end of movement shows overall movement vectors but analysis of consecutive images refers to the dynamics of breathing movement as the trajectory and spe

Název v anglickém jazyce

The ?In Plane? Visualization of the Breathing Movements of Chest and Abdomen Wall

Popis výsledku anglicky

The standard image processing tools were used for the evaluation of the breathing movements in deep breathing. SpeedSence 9060 camera, resolution 1280x800 pixs, 25 frames/s was used for ?in plane? recording (opposite to the chest and abdomen). Firstly the images of the video sequence were sharpened by means of a Laplacian filter in order to highlight surface patterns (the shirt with checked pattern). Sharpened consecutive images were analyzed by the cross-correlation tool of DANTEC Dynamic Studio (segments 64x64 pixs). Resulted matrices of moving vectors for given breathing maneuver were analyzed in MATLAB and their average, maximal and standard deviation values were displayed for interpretation of movement. The sum of consecutive movement vectors displays whole trajectory of body parts. Cross correlation of images at the beginning and end of movement shows overall movement vectors but analysis of consecutive images refers to the dynamics of breathing movement as the trajectory and spe

Druh

O - Ostatní výsledky

CEP obor

BH - Optika, masery a lasery

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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