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1.
Journal of Southern Medical University ; (12): 48-51, 2008.
Artículo en Chino | WPRIM | ID: wpr-281484

RESUMEN

<p><b>OBJECTIVE</b>To propose a new algorithm for medical image segmentation based on Gibbs morphological gradient and distance map (DM) Snake model, which allows identification of the correct contours of the objects when processing medical images with noises and pseudo-edges.</p><p><b>METHODS</b>Gibbs morphological gradient was deduced and the method for image segmentation based on Gibbs morphological gradient and distance map Snake model was presented.</p><p><b>RESULTS</b>This new medical image segmentation algorithm proved to effectively suppress the noises and pseudo-edges when calculating distance map.</p><p><b>CONCLUSION</b>The proposed algorithm is robust for image noise suppression and allows easy implementation in clinical image segmentation without the need of user interventions.</p>


Asunto(s)
Humanos , Algoritmos , Simulación por Computador , Lógica Difusa , Interpretación de Imagen Asistida por Computador , Métodos , Procesamiento de Imagen Asistido por Computador , Sensibilidad y Especificidad , Tomografía Computarizada por Rayos X
2.
Journal of Southern Medical University ; (12): 275-278, 2006.
Artículo en Chino | WPRIM | ID: wpr-255334

RESUMEN

Dynamic 3D ultrasound is a very promising technology for clinical use, but not being a Cartesian 3D dataset, 3D ultrasound data can not be visualized directly with real-time volume rendering accelerated by 3D texture hardware. In this paper, fast volume rendering using 3D texture hardware acceleration is introduced and modern PC graphics card architecture analyzed. A modified method is proposed to obtain real-time volume rendering of dynamic 3D ultrasound data by programming vertex shader in GPU. Experimental results show that 3D ultrasound data can be rendered with real-time speed in normal PC platform. The method can be widely applied in future 3D dynamic ultrasound clinical research.


Asunto(s)
Humanos , Algoritmos , Gráficos por Computador , Simulación por Computador , Ecocardiografía Tridimensional , Métodos , Interpretación de Imagen Asistida por Computador , Métodos
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