A PINN-driven game-theoretic framework in limited data photoacoustic tomography [0.03%]
基于PINN的有限数据光声断层扫描博弈框架
Souvik Roy,Suvra Pal
Souvik Roy
This paper presents a novel methodological framework to obtain superior reconstructions in limited data photoacoustic tomography. The proposed framework exploits the presence of Cauchy data on an accessible part of the observation domain an...
An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction [0.03%]
一种用于PET图像重建的广义Nesterov动量的加速预处理 proximal梯度算法
Yizun Lin,Yongxin He,C Ross Schmidtlein et al.
Yizun Lin et al.
This paper presents an accelerated preconditioned proximal gradient algorithm (APPGA) for effectively solving a class of positron emission tomography (PET) image reconstruction models with differentiable regularizers. We establish the conve...
Method of moments for 3D single particle ab initio modeling with non-uniform distribution of viewing angles [0.03%]
非均匀分布视点的三维单颗粒ABIOTTO初始化建模的方法-of-矩技术
Nir Sharon,Joe Kileel,Yuehaw Khoo et al.
Nir Sharon et al.
Single-particle reconstruction in cryo-electron microscopy (cryo-EM) is an increasingly popular technique for determining the 3D structure of a molecule from several noisy 2D projections images taken at unknown viewing angles. Most reconstr...
Tamir Bendory,Nicolas Boumal,William Leeb et al.
Tamir Bendory et al.
We consider the multi-target detection problem of recovering a set of signals that appear multiple times at unknown locations in a noisy measurement. In the low noise regime, one can estimate the signals by first detecting occurrences, then...
Linearized boundary control method for density reconstruction in acoustic wave equations [0.03%]
声波方程中线性边界控制法在密度重建中的应用
Lauri Oksanen,Tianyu Yang,Yang Yang
Lauri Oksanen
We develop a linearized boundary control method for the inverse boundary value problem of determining a density in the acoustic wave equation. The objective is to reconstruct an unknown perturbation in a known background density from the li...
Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér-Rao bound approach [0.03%]
基于贝叶斯Cramer-Rao下界的定量光声成像系统优化研究
Evan Scope Crafts,Mark A Anastasio,Umberto Villa
Evan Scope Crafts
Quantitative photoacoustic computed tomography (qPACT) is an emerging medical imaging modality that carries the promise of high-contrast, fine-resolution imaging of clinically relevant quantities like hemoglobin concentration and blood-oxyg...
A probabilistic approach to tomography and adjoint state methods, with an application to full waveform inversion in medical ultrasound [0.03%]
一种用于层析成像和伴随状态方法的概率方法，并将其应用于医学超声波全波形逆问题
Oscar Bates,Lluis Guasch,George Strong et al.
Oscar Bates et al.
Bayesian methods are a popular research direction for inverse problems. There are a variety of techniques available to solve Bayes' equation, each with their own strengths and limitations. Here, we discuss stochastic variational inference (...
Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transform [0.03%]
学习一个现有的但未知的逆映射的稳定近似：应用于半时间圆Radon变换
Refik Mert Cam,Umberto Villa,Mark A Anastasio
Refik Mert Cam
Supervised deep learning-based methods have inspired a new wave of image reconstruction methods that implicitly learn effective regularization strategies from a set of training data. While they hold potential for improving image quality, th...
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures for Applications in Flexible Macro-Molecules in Cryo-EM [0.03%]
超分子：关于动态结构的表示和恢复在冷冻电镜中柔性大分子的应用中的表示与恢复
Roy R Lederman,Joakim Andén,Amit Singer
Roy R Lederman
Cryo-electron microscopy (cryo-EM), the subject of the 2017 Nobel Prize in Chemistry, is a technology for obtaining 3-D reconstructions of macromolecules from many noisy 2-D projections of instances of these macromolecules, whose orientatio...
NON-UNIQUE GAMES OVER COMPACT GROUPS AND ORIENTATION ESTIMATION IN CRYO-EM [0.03%]
紧致群上的非唯一游戏及cryo-EM中的方向估计问题
Afonso S Bandeira,Eth Zürich,Yutong Chen et al.
Afonso S Bandeira et al.
Let 𝒢 be a compact group and let fij∈C(𝒢). We define the Non-Unique Games (NUG) problem as finding g1,…,gn∈𝒢 to minimize ∑i,j=1nfijgigj-1. We introduce a convex relaxation of the NUG problem t...