Xiaolei Xun,Bani Mallick,Raymond J Carroll et al.
Xiaolei Xun et al.
This paper addresses the problem of detecting the presence and location of a small low emission source inside an object, when the background noise dominates. This problem arises, for instance, in some homeland security applications. The goa...
Multi-energy CT based on a prior rank, intensity and sparsity model (PRISM) [0.03%]
基于先验秩、强度和稀疏模型的多能量CT
Hao Gao,Hengyong Yu,Stanley Osher et al.
Hao Gao et al.
We propose a compressive sensing approach for multi-energy computed tomography (CT), namely the prior rank, intensity and sparsity model (PRISM). To further compress the multi-energy image for allowing the reconstruction with fewer CT data ...
Jiansheng Yang,Hengyong Yu,Ming Jiang et al.
Jiansheng Yang et al.
Recently, we developed an approach for solving the computed tomography (CT) interior problem based on the high-order TV (HOT) minimization, assuming that a region-of-interest (ROI) is piecewise polynomial. In this paper, we generalize this ...
Reconstruction from a Few Projections by ℓ(1)-Minimization of the Haar Transform [0.03%]
基于Haar变换ℓ(1)最小化的少量投影重建方法
E Garduño,G T Herman,R Davidi
E Garduño
Much recent activity is aimed at reconstructing images from a few projections. Images in any application area are not random samples of all possible images, but have some common attributes. If these attributes are reflected in the smallness...
H T Banks,Kathleen Holm,Franz Kappel
H T Banks
Typical optimal design methods for inverse or parameter estimation problems are designed to choose optimal sampling distributions through minimization of a specific cost function related to the resulting error in parameter estimates. It is ...
Calculating tissue shear modulus and pressure by 2D Log-Elastographic methods [0.03%]
基于二维Log-弹性图法的组织切变模量和压力计算方法
Joyce R McLaughlin,Ning Zhang,Armando Manduca
Joyce R McLaughlin
Shear modulus imaging, often called elastography, enables detection and characterization of tissue abnormalities. In this paper the data is two displacement components obtained from successive MR or ultrasound data sets acquired while the t...
Contrast-enhanced microwave imaging of breast tumors: a computational study using 3-D realistic numerical phantoms [0.03%]
基于三维数字体模的乳腺肿瘤微波对比增强成像计算研究
J D Shea,P Kosmas,B D Van Veen et al.
J D Shea et al.
The detection of early-stage tumors in the breast by microwave imaging is challenged by both the moderate endogenous dielectric contrast between healthy and malignant glandular tissues and the spatial resolution available from illumination ...
SOLVING THE INTERIOR PROBLEM OF COMPUTED TOMOGRAPHY USING A PRIORI KNOWLEDGE [0.03%]
利用先验知识求解CT图像的内插问题
M Courdurier,F Noo,M Defrise et al.
M Courdurier et al.
The case of incomplete tomographic data for a compactly supported attenuation function is studied. When the attenuation function is a priori known in a subregion, we show that a reduced set of measurements is enough to uniquely determine th...
Y Censor,R Davidi,G T Herman
Y Censor
Iterative algorithms aimed at solving some problems are discussed. For certain problems, such as finding a common point in the intersection of a finite number of convex sets, there often exist iterative algorithms that impose very little de...
Kyle M Champley,Raymond R Raylman,Paul E Kinahan
Kyle M Champley
In this paper we consider the task of image reconstruction in positron emission tomography (PET) with the planogram frequency-distance rebinning (PFDR) algorithm. The PFDR algorithm is a rebinning algorithm for PET systems with panel detect...