Optimized Graphical Processing Unit Processing Framework for Surface Rendering in 4D Ultrasound Imaging
Journal of Medical Imaging and Health Informatics • 2014
معلومات البحث
المؤلفون
Ahmed F. Elnokrashy1 2, Marwan Hassan1, Tamer Hosny2, Ahmed Ali2,
Alaa Megawer, Amr M. Hendy, Yasser M. Kadah
الكلمات المفتاحية
Surface Rendering, 4D Ultrasound Imaging, Ray-Casting, Visualization
المجلة العلمية
Journal of Medical Imaging and Health Informatics
الناشر
ASP
المجلد
4
العدد
Not Available
الصفحات
1–6
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
Four-dimensional (4D) ultrasound imaging extends the real-time capability of ultrasound to visualize a realtime volume that can be manipulated by the sonographer. Among the different visualization methods, surface
rendering is a common mode for displaying volumetric datasets such as in obstetrical applications. A challenge
in this mode is that surface shading is required to visualize the surface and enhances the surface contrast
and this has very demanding computational requirements for 3D surfaces. Here, we present an optimized highperformance rendering pipeline based on four stages for preprocessing, volume rendering, surface shading, and
postprocessing. The new approach is implemented to render volumes acquired on a 4D commercial ultrasound
imaging system to illustrate its practicality. The results demonstrate diagnostic quality of rendered volumes at a
computational time cost that is suitable for 4D real-time processing. Given its low cost of required hardware, the
new pipeline has potential for making 4D imaging systems more affordable while maintaining diagnostic quality
and performance.
rendering is a common mode for displaying volumetric datasets such as in obstetrical applications. A challenge
in this mode is that surface shading is required to visualize the surface and enhances the surface contrast
and this has very demanding computational requirements for 3D surfaces. Here, we present an optimized highperformance rendering pipeline based on four stages for preprocessing, volume rendering, surface shading, and
postprocessing. The new approach is implemented to render volumes acquired on a 4D commercial ultrasound
imaging system to illustrate its practicality. The results demonstrate diagnostic quality of rendered volumes at a
computational time cost that is suitable for 4D real-time processing. Given its low cost of required hardware, the
new pipeline has potential for making 4D imaging systems more affordable while maintaining diagnostic quality
and performance.
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