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Description: 2d/3d图像配准 和ct mri图像DRR的生成
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Size: 109120 |
Author: michael8446@126.com |
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Description: DRR simulacija -DRR simulacija . . . . . . . . . . . .
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Size: 1024 |
Author: profo |
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Description: 队列管理算法，可以适用各种算法。 red blue drr pi 等。-Queue management algorithms can be applied to various algorithms. red blue drr pi and so on.
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Size: 2048 |
Author: 王永洪 |
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Description: AQM technique DRR (modified) for NS2
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Size: 3072 |
Author: H Bedi |
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Description: source code deficit round robin in java. use discrete event simulation
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Size: 2048 |
Author: jazrin |
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Description: Moorer 人工混响程序，根据不同的混响时间下能够计算D-Moorer artificial reverberation program, according to the different reverberation time can calculate the DRR
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Size: 4096 |
Author: 李子文 |
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Description: 医学图像配准，2D_3D医学图像配准论文-In 2D-3D Medical Image Registration (MIR), preoperative 3D CT images are registered
with intraoperative 2D X-rays images obtained by fluoroscopy or Electronic Portal Imag-
ing Devices (EPID). 2D-3D MIR is established by computing Digitally Reconstructed Ra-
diograph (DRR) images rendered from the volumetric data and is useful in many med-
ical procedures where surgical planning is undertaken using volumetric data prior to
treatment, such as in radiation therapy treatment and image guide surgery. The conven-
tional approach used to render DRR images is a computationally expensive process and
forms a bottleneck in 2D-3D MIR. This paper evaluates the registration performance of
a 2D-3D MIR system which attempts to improve the rendering performance by reduc-
ing the number of intersections between the rays cast and internal spaces within the CT
volume by using an Octree compression. An Octree compressed CT volume comprises
fewer internal spaces, each containing voxels which shar
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Size: 1527808 |
Author: 刘坤 |
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Description: 医学图像配准，医学图像2D_3D配准，基于vc++开发。-Abstract. We present a method that performs the rigid 2D/3D image registration
efficiently on the GPU. As one main contribution of this paper, we propose an
efficient method for generating realistic DRRs that are visually similar to X-ray
images. Therefore, we model some of the electronic post-processes of current X-
ray C-arm-systems. As another main contribution, the GPU is used to compute
eight intensity-based similarity measures between the DRR and the X-ray image
in parallel. A combination of these eight similarity measures is used as a new
similarity measure for the optimization. We evaluated the performance and the
precision of our 2D/3D image registration algorithm using two phantom models.
Compared to a CPU+GPU algorithm, which calculates the similarity measures
on the CPU, our GPU algorithm is between three and six times faster. In contrast
to single similarity measures, our new similarity measure achieved precise and
robust registration results for both phantom m
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Size: 329728 |
Author: 刘坤 |
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Description: 基于平行投影和透视投影的光线跟踪算法，该算法又有DRR，SSD，MIP三种计算方法。所有代码均为原创。-Based on parallel projection and perspective projection ray tracing algorithm, which have DRR, SSD, MIP three calculation methods. All codes are original.
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Size: 19182592 |
Author: 张喆 |
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Description: 嵌入式DDR时序方面的书籍，对调试时序有帮助(The principle and timing.Rar of DDR)
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Size: 2200576 |
Author: andy_zeng6
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