Tamir Bendory,Ti-Yen Lan,Nicholas F Marshall et al.
Tamir Bendory et al.
We consider the multi-target detection problem of estimating a two-dimensional target image from a large noisy measurement image that contains many randomly rotated and translated copies of the target image. Motivated by single-particle cry...
Tim McGraw,Baba Vemuri,Evren Özarslan et al.
Tim McGraw et al.
In this paper, we present a novel variational formulation for restoring high angular resolution diffusion imaging (HARDI) data. The restoration formulation involves smoothing signal measurements over the spherical domain and across the 3D i...
Wenxiang Cong,Ge Wang,Qingsong Yang et al.
Wenxiang Cong et al.
The patch manifold of a natural image has a low dimensional structure and accommodates rich structural information. Inspired by the recent work of the low-dimensional manifold model (LDMM), we apply the LDMM for regularizing X-ray computed ...
3D ELECTRICAL IMPEDANCE TOMOGRAPHY RECONSTRUCTIONS FROM SIMULATED ELECTRODE DATA USING DIRECT INVERSION texp AND CALDERÓN METHODS [0.03%]
基于直接反演法和卡尔德隆方法的模拟电极数据的三维电阻抗成像重建
S J Hamilton,D Isaacson,V Kolehmainen et al.
S J Hamilton et al.
The first numerical implementation of a t exp method in 3D using simulated electrode data is presented. Results are compared to Calderón's method as well as more common TV and smoothness regularization-based methods. The t exp method for E...
EMPIRICAL AVERAGE-CASE RELATION BETWEEN UNDERSAMPLING AND SPARSITY IN X-RAY CT [0.03%]
undersampling和sparsity在X-射线CT中的经验平均关系式
Jakob S Jørgensen,Emil Y Sidky,Per Christian Hansen et al.
Jakob S Jørgensen et al.
In X-ray computed tomography (CT) it is generally acknowledged that reconstruction methods exploiting image sparsity allow reconstruction from a significantly reduced number of projections. The use of such reconstruction methods is inspired...
A Real-time D-bar Algorithm for 2-D Electrical Impedance Tomography Data [0.03%]
实时计算二维电阻抗断层成像数据的D-bar算法
Melody Dodd,Jennifer L Mueller
Melody Dodd
The aim of this paper is to show the feasibility of the D-bar method for real-time 2-D EIT reconstructions. A fast implementation of the D-bar method for reconstructing conductivity changes on a 2-D chest-shaped domain is described. Cross-s...
HARDI DATA DENOISING USING VECTORIAL TOTAL VARIATION AND LOGARITHMIC BARRIER [0.03%]
基于向量总变化与对数壁垒的 HARDI 数据除噪方法
Yunho Kim,Paul M Thompson,Luminita A Vese
Yunho Kim
In this work, we wish to denoise HARDI (High Angular Resolution Diffusion Imaging) data arising in medical brain imaging. Diffusion imaging is a relatively new and powerful method to measure the three-dimensional profile of water diffusion ...
A GREEDY METHOD FOR RECONSTRUCTING POLYCRYSTALS FROM THREE-DIMENSIONAL X-RAY DIFFRACTION DATA [0.03%]
基于三维X射线衍射数据重构多晶粒结构的贪心算法
Arun K Kulshreshth,Andreas Alpers,Gabor T Herman et al.
Arun K Kulshreshth et al.
An iterative search method is proposed for obtaining orientation maps inside polycrystals from three-dimensional X-ray diffraction (3DXRD) data. In each step, detector pixel intensities are calculated by a forward model based on the current...