Gradient-Guided Isotropic MRI Reconstruction from Anisotropic Acquisitions [0.03%]
各向异性采集的同轴扩散MRI图像的梯度引导重建方法研究
Yao Sui,Onur Afacan,Camilo Jaimes et al.
Yao Sui et al.
The trade-off between image resolution, signal-to-noise ratio (SNR), and scan time in any magnetic resonance imaging (MRI) protocol is inevitable and unavoidable. Super-resolution reconstruction (SRR) has been shown effective in mitigating ...
Autoregression and Structured Low-Rank Modeling of Sinogram Neighborhoods [0.03%]
基于Sinogram邻域的自回归与结构化低秩建模方法
Rodrigo A Lobos,Muhammad Usman Ghani,W Clem Karl et al.
Rodrigo A Lobos et al.
Sinograms are commonly used to represent the raw data from tomographic imaging experiments. Although it is already well-known that sinograms posess some amount of redundancy, in this work, we present novel theory suggesting that sinograms w...
PALMNUT: An Enhanced Proximal Alternating Linearized Minimization Algorithm with Application to Separate Regularization of Magnitude and Phase [0.03%]
PALMNUT：一种增强型proximal alternating linearized最小化算法及其在幅度和相位分别正则化方面的应用
Yunsong Liu,Justin P Haldar
Yunsong Liu
We introduce a new algorithm for complex image reconstruction with separate regularization of the image magnitude and phase. This optimization problem is interesting in many different image reconstruction contexts, although is nonconvex and...
Manifold recovery using kernel low-rank regularization: application to dynamic imaging [0.03%]
基于核低秩正则化的流形恢复：动态图像分析中的应用
Sunrita Poddar,Yasir Q Mohsin,Deidra Ansah et al.
Sunrita Poddar et al.
We introduce a novel kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI data from highly undersampled measurements. The image frames in the free breathing and ungated dataset are assumed to be points on a bandlimite...
Claire Yilin Lin,Jeffrey A Fessler
Claire Yilin Lin
Magnetic field inhomogeneity estimation is important in some types of magnetic resonance imaging (MRI), including field-corrected reconstruction for fast MRI with long readout times, and chemical shift based water-fat imaging. Regularized f...
Andreas Hauptmann,Jonas Adler,Simon Arridge et al.
Andreas Hauptmann et al.
Model-based learned iterative reconstruction methods have recently been shown to outperform classical reconstruction algorithms. Applicability of these methods to large scale inverse problems is however limited by the available memory for t...
Effect of Pixelation on the Parameter Estimation of Single Molecule Trajectories [0.03%]
像素化对单分子轨迹参数估计的影响
Milad R Vahid,Bernard Hanzon,Raimund J Ober
Milad R Vahid
The advent of single molecule microscopy has revolutionized biological investigations by providing a powerful tool for the study of intercellular and intracellular trafficking processes of protein molecules which was not available before th...
Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction with Low-Dose Scans [0.03%]
基于对比剂输运各向异性的低剂量脑灌注CT重建的张量全变差模型
Yuanke Zhang,Jiangjun Peng,Dong Zeng et al.
Yuanke Zhang et al.
Perfusion computed tomography (PCT) is critical in detecting cerebral ischemic lesions. PCT examination with low-dose scans can effectively reduce radiation exposure to patients at the cost of degraded images with severe noise and artifacts...
3D Localization for Light-Field Microscopy via Convolutional Sparse Coding on Epipolar Images [0.03%]
基于光场显微镜上的极线图像卷积稀疏编码的三维定位
Pingfan Song,Herman Verinaz Jadan,Carmel L Howe et al.
Pingfan Song et al.
Light-field microscopy (LFM) is a type of all-optical imaging system that is able to capture 4D geometric information of light rays and can reconstruct a 3D model from a single snapshot. In this paper, we propose a new 3D localization appro...
Low-Rank Tensor Models for Improved Multi-Dimensional MRI: Application to Dynamic Cardiac T 1 Mapping [0.03%]
低秩张量模型改善多维MRI：动态心脏T1映射中的应用
Burhaneddin Yaman,Sebastian Weingärtner,Nikolaos Kargas et al.
Burhaneddin Yaman et al.
Multi-dimensional, multi-contrast magnetic resonance imaging (MRI) has become increasingly available for comprehensive and time-efficient evaluation of various pathologies, providing large amounts of data and offering new opportunities for ...