Results 51 to 60 of about 264,517 (319)

Iterative projective reconstruction from multiple views [PDF]

Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2002
We propose an iterative method for the recovery of the projective structure and motion from multiple images. It has been recently noted that by scaling the measurement matrix by the true projective depths, recovery of the structure and motion is possible by factorization.
Shyjan Mahamud, Hebert, Martial
openaire   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Image reconstruction using iterative transpose algorithm for optical tomography [PDF]

, 2007
This paper describes a transpose algorithm for use with an optical tomography system. The measurement system consisted of two orthogonal arrays, each having ten parallel views, resulting in a total of twenty sensors.
Abd. Rahim, Ruzairi, Fazalul Rahiman, Mohd. Hafiz, Green, R. G., Md. Yunos, Yusri   +3 more
core   +1 more source

Iterative Reconstruction from Few-view Projections

Procedia Computer Science, 2015
[EN] In the medical imaging field, iterative methods have become a hot topic of research due to their capacity to resolve the reconstruction problem from a limited number of projections. This gives a good possibility to reduce radiation exposure on patients during the data acquisition.
Flores, Liubov, Vidal, Vicent, Verdú, Gumersindo   +2 more
openaire   +2 more sources

Informed Source Separation Using Iterative Reconstruction [PDF]

IEEE Transactions on Audio, Speech, and Language Processing, 2013
This paper presents a technique for Informed Source Separation (ISS) of a single channel mixture, based on the Multiple Input Spectrogram Inversion method. The reconstruction of the source signals is iterative, alternating between a time- frequency consistency enforcement and a re-mixing constraint.
Sturmel, Nicolas, Daudet, Laurent
openaire   +2 more sources

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz, Carl D. Langefeld, Mary E. Comeau, Miranda C. Marion, Tyler P. Behymer, Lee A. Gilkerson, Padmini Sekar, Weihong Yuan, Vivek Khandwala, Brady J. Williamson, Thomas Maloney, Achala Vagal, Pierce Boyne, Kari Dunning, Matthew L. Flaherty, Steven J. Kittner, Prachi Mehndiratta, Gunjan Y. Parikh, Michael L. James, David Roh, Fernando D. Testai, Farhaan S. Vahidy, James Thornton, Ranjit Bagga, Daniel Woo, Stacie L. Demel   +25 more
wiley   +1 more source

3D reconstruction study of motion blur non-coded targets based on the iterative relaxation method

Open Computer Science
Achieving high-quality three-dimensional (3D) reconstruction has been a challenging problem due to factors such as motion blur. In this article, we first construct a mathematical model of an iterative relaxation method in reconstructing images, including
Yun Shi, Rongna Chen, Yanyan Zhu
doaj   +1 more source

Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case

Visual Computing for Industry, Biomedicine, and Art, 2019
In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise.
Gengsheng L. Zeng, Ya Li, Qiu Huang
doaj   +1 more source

Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms

Visual Computing for Industry, Biomedicine, and Art, 2019
We recently developed a family of image reconstruction algorithms that look like the emission maximum-likelihood expectation-maximization (ML-EM) algorithm. In this study, we extend these algorithms to Bayesian algorithms.
Gengsheng L. Zeng, Ya Li
doaj   +1 more source

Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors

Visual Computing for Industry, Biomedicine, and Art, 2020
The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based. They are iterative algorithms that optimize objective functions with spatial and/or temporal constraints.
Gengsheng L. Zeng, Edward V. DiBella
doaj   +1 more source