GPU-based volume reconstruction for freehand 3D ultrasound imaging.Volume reconstruction plays an important role in improving image quality for freehand three-dimensional (3D) ultrasound imaging.  In this paper, a programmable graphic-processor-unit-(GPU) based fast kernel regression method is proposed for freehand 3D ultrasound volume reconstruction.  The most significant aspect of our method is the adopting of powerful data-parallel computing capability of GPU to improve the overall efficiency.  Experimental results demonstrate that the computational performance of the proposed GPU-based method can be over 200 times faster than that on CPU. 
GPU
GPU-based volume reconstruction for freehand 3D ultrasound imaging.Volume reconstruction plays an important role in improving image quality for freehand three-dimensional (3D) ultrasound imaging.  In this paper, a programmable graphic-processor-unit-(GPU) based fast kernel regression method is proposed for freehand 3D ultrasound volume reconstruction.  The most significant aspect of our method is the adopting of powerful data-parallel computing capability of GPU to improve the overall efficiency.  Experimental results demonstrate that the computational performance of the proposed GPU-based method can be over 200 times faster than that on CPU. 
GPU
GPU-based volume reconstruction for freehand 3D ultrasound imaging.Volume reconstruction plays an important role in improving image quality for freehand three-dimensional (3D) ultrasound imaging.  In this paper, a programmable graphic-processor-unit-(GPU) based fast kernel regression method is proposed for freehand 3D ultrasound volume reconstruction.  The most significant aspect of our method is the adopting of powerful data-parallel computing capability of GPU to improve the overall efficiency.  Experimental results demonstrate that the computational performance of the proposed GPU-based method can be over 200 times faster than that on CPU. 
GPU
GPU-based volume reconstruction for freehand 3D ultrasound imaging.Volume reconstruction plays an important role in improving image quality for freehand three-dimensional (3D) ultrasound imaging.  In this paper, a programmable graphic-processor-unit-(GPU) based fast kernel regression method is proposed for freehand 3D ultrasound volume reconstruction.  The most significant aspect of our method is the adopting of powerful data-parallel computing capability of GPU to improve the overall efficiency.  Experimental results demonstrate that the computational performance of the proposed GPU-based method can be over 200 times faster than that on CPU. 
GPU
GPU-based volume reconstruction for freehand 3D ultrasound imaging.Volume reconstruction plays an important role in improving image quality for freehand three-dimensional (3D) ultrasound imaging.  In this paper, a programmable graphic-processor-unit-(GPU) based fast kernel regression method is proposed for freehand 3D ultrasound volume reconstruction.  The most significant aspect of our method is the adopting of powerful data-parallel computing capability of GPU to improve the overall efficiency.  Experimental results demonstrate that the computational performance of the proposed GPU-based method can be over 200 times faster than that on CPU. 
GPU