ACCELERATING 3D NON-RIGID REGISTRATION USING GRAPHICS HARDWARE
ACCELERATING 3D NON-RIGID REGISTRATION USING GRAPHICS HARDWARE
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DOI：
10.1142/s0219467808002988
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发表时间：
2008-01-01
影响因子：
1.6
通讯作者：
Hellier, Pierre
中科院分区：
文献类型：
--
作者：
Courty, Nicolas;Hellier, Pierre
对实时实施3D图像分析过程的需求日益增加，特别是在图像引导手术的背景下。在各种图像分析任务中，非刚性图像配准是特别需要的，并且在计算上也是禁止的。本文提出了一种GPU（图形处理单元）实现流行的恶魔算法使用高斯递归滤波。该算法的加速主要是通过一种新的基于GPU的滤波算法来实现的，该算法可以在其他应用中重用或扩展，对基于GPU的图像处理领域做出了重要贡献。该实现能够在不到一分钟的时间内执行3D MR体积的非刚性配准，与相应的CPU实现相比，这对应于10的加速因子。这证明了这种方法在术中的有用性。
There is an increasing need for real-time implementation of 3D image analysis processes, especially in the context of image-guided surgery. Among the various image analysis tasks, non-rigid image registration is particularly needed and is also computationally prohibitive. This paper presents a GPU (Graphical Processing Unit) implementation of the popular Demons algorithm using a Gaussian recursive filtering. Acceleration of the classical method is mainly achieved by a new filtering scheme on GPU which could be reused in or extended to other applications and denotes a significant contribution to the GPU-based image processing domain. This implementation was able to perform a non-rigid registration of 3D MR volumes in less than one minute, which corresponds to an acceleration factor of 10 compared to the corresponding CPU implementation. This demonstrated the usefulness of such method in an intra-operative context.