Single-pixel imaging of dynamic objects using multi-frame motion estimation

AbstractSingle-pixel imaging (SPI) enables the visualization of objects with a single detector by using a sequence of spatially modulated illumination patterns. For natural images, the number of illumination patterns may be smaller than the number of pixels when compressed-sensing algorithms are used. Nonetheless, the sequential nature of the SPI measurement requires that the object remains static until the signals from all the required patterns have been collected. In this paper, we present a new approach to SPI that enables imaging scenarios in which the imaged object, or parts thereof, moves within the imaging plane during data acquisition. Our algorithms estimate the motion direction from inter-frame cross-correlations and incorporate it in the reconstruction model. Moreover, when the illumination pattern is cyclic, the motion may be estimated directly from the raw data, further increasing the numerical efficiency of the algorithm. A demonstration of our approach is presented for both numerically simulated and measured data.

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Image quality improvement based on inter-frame motion compensation for photoacoustic imaging: A preliminary study

2013 IEEE International Ultrasonics Symposium (IUS) ◽

10.1109/ultsym.2013.0388 ◽

2013 ◽

Author(s):

Minjae Kim ◽

Jeeun Kang ◽

Jin Ho Chang ◽

Tai-Kyong Song ◽

Yangmo Yoo

Keyword(s):

Quality Improvement ◽

Image Quality ◽

Motion Compensation ◽

Photoacoustic Imaging ◽

Image Quality Improvement ◽

Preliminary Study ◽

Frame Motion ◽

Inter Frame

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New paradigm for nuclear data evaluation

EPJ Web of Conferences ◽

10.1051/epjconf/202023911001 ◽

2020 ◽

Vol 239 ◽

pp. 11001

Author(s):

M. Herman ◽

D.A. Brown ◽

M.B. Chadwick ◽

W. Haeck ◽

T. Kawano ◽

...

Keyword(s):

Nuclear Reaction ◽

Error Compensation ◽

Nuclear Data ◽

Covariance Matrices ◽

Data Evaluation ◽

New Paradigm ◽

New Approach ◽

Reaction Data ◽

Cross Correlations

A new paradigm for nuclear reaction data evaluations is proposed to produce adjusted libraries that take into account integral experiments on the same footing as the differential ones. These evaluations will provide comprehensive covariance matrices including cross-correlations among different materials/reactions that are critical for realistic propagation of data uncertainties to integral quantities. The new approach should also reduce error compensation issues and facilitate updating of the library to account for new or corrected experiments and advances in reaction modeling.

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Vehicle tracking based on shape information and inter-frame motion vector

Computers & Electrical Engineering ◽

10.1016/j.compeleceng.2019.06.019 ◽

2019 ◽

Vol 78 ◽

pp. 22-31 ◽

Cited By ~ 3

Author(s):

Peng Liu ◽

Guoyu Wang ◽

Zhibin Yu ◽

Xinchang Guo ◽

Weigang Lu

Keyword(s):

Motion Vector ◽

Vehicle Tracking ◽

Shape Information ◽

Frame Motion ◽

Inter Frame

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Compressive Video Sensing Based on Intra-Inter-Frame Constraints and Genetic Algorithm

10.3233/faia210418 ◽

2021 ◽

Author(s):

Yuchen Yue ◽

Hua Li ◽

Jianhua Luo

Keyword(s):

Genetic Algorithm ◽

High Speed ◽

Reconstruction Algorithms ◽

Video Capture ◽

Video Signals ◽

Video Frames ◽

Practical Engineering ◽

Priori Information ◽

Inter Frame ◽

Reconstruction Model

Establishing structured reconstruction models and efficient reconstruction algorithms according to practical engineering needs is of great concern in the applied research of Compressed Sensing (CS) theory. Targeting problems during high-speed video capture, the paper proposes a set of video CS scheme based on intra-frame and inter-frame constraints and Genetic Algorithm (GA). Firstly, it employs the intra-frame and inter-frame correlation of the video signals as the priori information, creating a video CS reconstruction model on the basis of temporal and spatial similarity constraints. Then it utilizes overcomplete dictionary of Ridgelet to divide the video frames into three structures, smooth, single-oriented, or multijointed. Video frames cluster according to the structure using Affinity Propagation (AP) algorithm, and finally clusters are reconstructed using evolutionary algorithm. It is proved efficient in terms of reconstruction result in the experiment.

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SU-FF-I-130: Effects of Inter-Frame Motion in Pharmacokinetic Modeling Using Simulated Heterogeneous Phantoms

Medical Physics ◽

10.1118/1.3181251 ◽

2009 ◽

Vol 36 (6Part5) ◽

pp. 2465-2465

Author(s):

C Song ◽

S Fain

Keyword(s):

Pharmacokinetic Modeling ◽

Frame Motion ◽

Inter Frame

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A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing

Energies ◽

10.3390/en13051192 ◽

2020 ◽

Vol 13 (5) ◽

pp. 1192 ◽

Cited By ~ 6

Author(s):

Fausto Pedro García Marquez ◽

Carlos Quiterio Gómez Muñoz

Keyword(s):

Wind Turbine ◽

Wavelet Transforms ◽

Guided Waves ◽

Turbine Blades ◽

Environmental Parameters ◽

Wind Turbine Blades ◽

New Approach ◽

Abrupt Changes ◽

Different Types ◽

Cross Correlations

Wind turbine blades are constantly submitted to different types of particles such as dirt, ice, etc., as well as all the different environmental parameters that affect the behaviour and efficiency of the energy generation system. These parameters can cause faults to the wind turbine blades, modifying their behaviour due, for example, to the turbulence. A new method is presented in this paper based on cross-correlations to determine the presence of delamination in the blades. The experiments were conducted in two real wind turbine blades to analyse the fault and non-fault blades using ultrasonic guided waves. Finally, the energy analysis of the signal based on wavelet transforms allowed to determine energies abrupt changes in the correlation of the signals and to locate the faults.

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An iterative image-based inter-frame motion compensation method for dynamic brain PET imaging

Physics in Medicine and Biology ◽

10.1088/1361-6560/ac4a8f ◽

2022 ◽

Author(s):

Tao Sun ◽

Yaping Wu ◽

Yan Bai ◽

Zhenguo Wang ◽

Chushu Shen ◽

...

Keyword(s):

Image Quality ◽

Pet Imaging ◽

Motion Compensation ◽

Involuntary Movement ◽

Motion Artifacts ◽

Dynamic Pet ◽

Brain Pet ◽

18F Fdg ◽

Frame Motion ◽

Inter Frame

Abstract As a non-invasive imaging tool, Positron Emission Tomography (PET) plays an important role in brain science and disease research. Dynamic acquisition is one way of brain PET imaging. Its wide application in clinical research has often been hindered by practical challenges, such as patient involuntary movement, which could degrade both image quality and the accuracy of the quantification. This is even more obvious in scans of patients with neurodegeneration or mental disorders. Conventional motion compensation methods were either based on images or raw measured data, were shown to be able to reduce the effect of motion on the image quality. As for a dynamic PET scan, motion compensation can be challenging as tracer kinetics and relatively high noise can be present in dynamic frames. In this work, we propose an image-based inter-frame motion compensation approach specifically designed for dynamic brain PET imaging. Our method has an iterative implementation that only requires reconstructed images, based on which the inter-frame subject movement can be estimated and compensated. The method utilized tracer-specific kinetic modelling and can deal with simple and complex movement patterns. The synthesized phantom study showed that the proposed method can compensate for the simulated motion in scans with 18F-FDG, 18F-Fallypride and 18F-AV45. Fifteen dynamic 18F-FDG patient scans with motion artifacts were also processed. The quality of the recovered image was superior to the one of the non-corrected images and the corrected images with other image-based methods. The proposed method enables retrospective image quality control for dynamic brain PET imaging, hence facilitates the applications of dynamic PET in clinics and research.

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