Accelerating reconstruction
نویسندگان
چکیده
منابع مشابه
Accelerating Volume Reconstruction with 3D Texture Hardware
This paper describes a new method of rendering volumes that leverages the 3D texturing hardware in Silicon Graphics RealityEngine workstations. The method defines the volume data as a 3D texture and utilizes the parallel texturing hardware to perform reconstruction and resampling on polygons embedded in the texture. The resampled data on each polygon is transformed into color and opacity value...
متن کاملAccelerating diffusion tensor imaging using multi-reference image constrained reconstruction
Introduction: MR diffusion tensor imaging (DTI) [1] has been increasingly used to quantitatively characterize the microstructure of ordered tissues such as the brain white matter. However, practical applications of DTI are hampered by the low SNR, long acquisition times, and low spatial resolution. Since in DTI essentially the same image (except for diffusion encoding) is acquired repeatedly, r...
متن کاملAdvanced MRI reconstruction toolbox with accelerating on GPU
In this paper, we present a fast iterative magnetic resonance imaging (MRI) reconstruction algorithm taking advantage of the prevailing GPGPU programming paradigm. In clinical environment, MRI reconstruction is usually performed via fast Fourier transform (FFT). However, imaging artifacts (i.e. signal loss) resulting from susceptibility -induced magnetic field inhomogeneities degrade the qualit...
متن کاملA C-to-FPGA Solution for Accelerating Tomographic Reconstruction
A C-to-FPGA Solution for Accelerating Tomographic Reconstruction
متن کاملAccelerating the Anti-aliased Algebraic Reconstruction Technique (ART) by . . .
Accelerating the Anti-aliased Algebraic Reconstruction Technique 2 enables us to transform ART into a backward-viewing algorithm in which voxels are projected individually onto the projection plane where their effects accumulate to form the projection image. Similarly to the PKLUT's used in [3], voxel footprints can be implemented as high-resolution 1D voxel projection tables (2D for cubic voxe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Reviews Neuroscience
سال: 2019
ISSN: 1471-003X,1471-0048
DOI: 10.1038/s41583-019-0226-1