Comparing GPU Implementations of Bilateral and Anisotropic Diffusion Filters for 3D Biomedical Datasets
نویسنده
چکیده
We compare the performance of hand-tuned CUDA implementations of bilateral and anisotropic diffusion filters for denoising 3D MRI datasets. Our tests sweep comparable parameters for the two filters and measure total runtime, memory bandwidth, computational throughput, and mean squared errors relative to a noiseless reference dataset.
منابع مشابه
Interactive Three-dimensional Image Analysis and Visualization Using Graphics Hardware
Image analysis is a process of extracting useful information from input images using various image processing techniques, such as denoising, enhancement, feature detection, and segmentation. State-of-the-art techniques employ sophisticated and time-consuming nonlinear processes to capture subtle and detailed information from images that may be overlooked by classical linear methods. In addition...
متن کاملInteractive 3D seismic fault detection on the Graphics Hardware
This paper presents a 3D, volumetric, seismic fault detection system that relies on a novel set of nonlinear filters combined with a GPU (Graphics Processing Unit) implementation, which makes interactive nonlinear, volumetric processing feasible. The method uses a 3D structure tensor to robustly measure seismic orientations. These tensors guide an anisotropic diffusion, which reduces noise in t...
متن کاملUltra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU
Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study u...
متن کاملNonlinear Anisotropic Diffusion Filtering for Multiscale Edge Enhancement
Nonlinear anisotropic diffusion filtering is a procedure based on nonlinear evolution partial differential equations which seeks to improve images qualitatively by removing noise while preserving details and even enhancing edges. However, well known implementations are sensitive to parameters which are necessarily tuned to sharpen a narrow range of edge slopes; otherwise, edges are either blurr...
متن کامل3D Anisotropic Diffusion on GPUs by Closed-Form Local Tensor Computations
We present an efficient implementation of volumetric anisotropic image diffusion filters on modern programmable graphics processing units (GPUs), where the mathematics behind volumetric diffusion is effectively reduced to the diffusion in 2D images. We hereby avoid the computational bottleneck of a time consuming eigenvalue decomposition in R. Instead, we use a projection of the Hessian matrix ...
متن کامل