Yoel Shkolnisky,Amit Singer
Yoel Shkolnisky
A central task in recovering the structure of a macromolecule from cryo-electron microscopy (cryo-EM) images is to determine a three-dimensional model of the macromolecule given many of its two-dimensional projection images. The direction f...
A NOVEL DYNAMIC SYSTEM IN THE SPACE OF SPD MATRICES WITH APPLICATIONS TO APPEARANCE TRACKING [0.03%]
一类关于正定矩阵的新型动力系统及其在外观追踪中的应用
Guang Cheng,Baba C Vemuri
Guang Cheng
A PERFECT MATCH CONDITION FOR POINT-SET MATCHING PROBLEMS USING THE OPTIMAL MASS TRANSPORT APPROACH [0.03%]
基于最优质量运输的点集匹配问题的完美匹配条件
Pengwen Chen,Ching-Long Lin,I-Liang Chern
Pengwen Chen
We study the performance of optimal mass transport-based methods applied to point-set matching problems. The present study, which is based on the L2 mass transport cost, states that perfect matches always occur when the product of the point...
Angelos Barmpoutis,Ho Jeffrey,Baba C Vemuri
Angelos Barmpoutis
Tensors of various orders can be used for modeling physical quantities such as strain and diffusion as well as curvature and other quantities of geometric origin. Depending on the physical properties of the modeled quantity, the estimated t...
Three-Dimensional Structure Determination from Common Lines in Cryo-EM by Eigenvectors and Semidefinite Programming() [0.03%]
利用特征向量和半正定规划由通用线确定冷冻电镜中的三维结构()
A Singer,Y Shkolnisky
A Singer
The cryo-electron microscopy reconstruction problem is to find the three-dimensional (3D) structure of a macromolecule given noisy samples of its two-dimensional projection images at unknown random directions. Present algorithms for finding...
Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors [0.03%]
基于特征向量的冷冻电镜图像视点分类方法
A Singer,Z Zhao,Y Shkolnisky et al.
A Singer et al.
The cryo-electron microscopy (cryo-EM) reconstruction problem is to find the three-dimensional structure of a macromolecule given noisy versions of its two-dimensional projection images at unknown random directions. We introduce a new algor...
Particle Filtering with Region-based Matching for Tracking of Partially Occluded and Scaled Targets [0.03%]
基于区域匹配的粒子过滤跟踪算法对抗部分遮挡和尺度变化目标的有效性分析
Arie Nakhmani,Allen Tannenbaum
Arie Nakhmani
Visual tracking of arbitrary targets in clutter is important for a wide range of military and civilian applications. We propose a general framework for the tracking of scaled and partially occluded targets, which do not necessarily have pro...
Felipe Arrate,J Tilak Ratnanather,Laurent Younes
Felipe Arrate
In this study we present a geometric flow approach to the segmentation of three-dimensional medical images obtained from magnetic resonance imaging (MRI) or computed tomography (CT) scan methods, by minimizing a cost function. This energy t...
Global Compartmental Pharmacokinetic Models for Spatiotemporal SPECT and PET Imaging [0.03%]
用于时空SPECT和PET成像的全局隔室药代动力学模型
Eric Clarkson,Matthew A Kupinski
Eric Clarkson
A new mathematical framework is introduced for combining the linear compartmental models used in pharmacokinetics with the spatiotemporal distributions of activity that are measured in single photon emission computed tomography (SPECT) and ...
Statistical Hypothesis Testing for Postreconstructed and Postregistered Medical Images [0.03%]
图像配准和重建后的医学影像统计假设检测方法研究
Eugene Demidenko
Eugene Demidenko
Postreconstructed and postregistered medical images are typically treated as the raw data, implicitly assuming that those operations are error free. We question this assumption and explore how the precision of reconstruction and affine regi...