Read by QxMD icon Read

Compressed sensing

Junghyun Kim, Sewoon Han, Andy Lei, Masaru Miyano, Jessica Bloom, Vasudha Srivastava, Martha M Stampfer, Zev J Gartner, Mark A LaBarge, Lydia L Sohn
The mechanical properties of cells change with their differentiation, chronological age, and malignant progression. Consequently, these properties may be useful label-free biomarkers of various functional or clinically relevant cell states. Here, we demonstrate mechano-node-pore sensing (mechano-NPS), a multi-parametric single-cell-analysis method that utilizes a four-terminal measurement of the current across a microfluidic channel to quantify simultaneously cell diameter, resistance to compressive deformation, transverse deformation under constant strain, and recovery time after deformation...
2018: Microsystems & Nanoengineering
Haiqiang Liu, Gang Hua, Hongsheng Yin, Yonggang Xu
Distributed Compressed Sensing (DCS) is an important research area of compressed sensing (CS). This paper aims at solving the Distributed Compressed Sensing (DCS) problem based on mixed support model. In solving this problem, the previous proposed greedy pursuit algorithms easily fall into suboptimal solutions. In this paper, an intelligent grey wolf optimizer (GWO) algorithm called DCS-GWO is proposed by combining GWO and q -thresholding algorithm. In DCS-GWO, the grey wolves' positions are initialized by using the q -thresholding algorithm and updated by using the idea of GWO...
2018: Computational Intelligence and Neuroscience
Yu-Zhong Chen, Ying-Cheng Lai
Revealing the structure and dynamics of complex networked systems from observed data is a problem of current interest. Is it possible to develop a completely data-driven framework to decipher the network structure and different types of dynamical processes on complex networks? We develop a model named sparse dynamical Boltzmann machine (SDBM) as a structural estimator for complex networks that host binary dynamical processes. The SDBM attains its topology according to that of the original system and is capable of simulating the original binary dynamical process...
March 2018: Physical Review. E
Juan Carlos Bermúdez Ordoñez, Rosa María Arnaldo Valdés, Fernando Gómez Comendador
A significant challenge in global navigation satellite system (GNSS) signal processing is a requirement for a very high sampling rate. The recently-emerging compressed sensing (CS) theory makes processing GNSS signals at a low sampling rate possible if the signal has a sparse representation in a certain space. Based on CS and SVD theories, an algorithm for sampling GNSS signals at a rate much lower than the Nyquist rate and reconstructing the compressed signal is proposed in this research, which is validated after the output from that process still performs signal detection using the standard fast Fourier transform (FFT) parallel frequency space search acquisition...
May 16, 2018: Sensors
Vincent A Billock, Paul R Havig
When one sensory response occurs in the presence of a different sensory stimulation, the sensory response is often amplified. The variety of sensory enhancement data tends to obscure the underlying rules, but it has long been clear that weak signals are usually amplified more than strong ones (the Principle of Inverse Effectiveness). Here we show that for many kinds of sensory amplification, the underlying law is simple and elegant: the amplified response is a power law of the unamplified response, with a compressive exponent that amplifies weak signals more than strong...
May 16, 2018: Scientific Reports
E E Sigmund, S H Baete, K Patel, D Wang, D Stoffel, R Otazo, P Parasoglou, J Bencardino
OBJECTIVES: We describe measurement of skeletal muscle kinetics with multiple echo diffusion tensor imaging (MEDITI). This approach allows characterization of the microstructural dynamics in healthy and pathologic muscle. MATERIALS AND METHODS: In a Siemens 3-T Skyra scanner, MEDITI was used to collect dynamic DTI with a combination of rapid diffusion encoding, radial imaging, and compressed sensing reconstruction in a multi-compartment agarose gel rotation phantom and within in vivo calf muscle...
May 14, 2018: Magma
Shouqiang Du, Miao Chen
We consider a kind of nonsmooth optimization problems with [Formula: see text]-norm minimization, which has many applications in compressed sensing, signal reconstruction, and the related engineering problems. Using smoothing approximate techniques, this kind of nonsmooth optimization problem can be transformed into a general unconstrained optimization problem, which can be solved by the proposed smoothing modified three-term conjugate gradient method. The smoothing modified three-term conjugate gradient method is based on Polak-Ribière-Polyak conjugate gradient method...
2018: Journal of Inequalities and Applications
Ge Zhu, Xu-Ri Yao, Zhi-Bin Sun, Peng Qiu, Chao Wang, Guang-Jie Zhai, Qing Zhao
This paper reports an efficient method for sound extraction from high-speed light spot videos reconstructed from the coded light spot images captured with a low-speed camera based on compressive sensing, but at the expense of consuming time. The proposed method first gets the high-speed video of the light spot that is illuminated on the vibrating target caused by sound. Then the centroid of the light spot is used to recover the sound. Simulations of the proposed method are carried out and experimental results are demonstrated...
May 11, 2018: Sensors
Leonid Chindelevitch, João Paulo Pereira Zanetti, João Meidanis
BACKGROUND: Recently, Pereira Zanetti, Biller and Meidanis have proposed a new definition of a rearrangement distance between genomes. In this formulation, each genome is represented as a matrix, and the distance d is the rank distance between these matrices. Although defined in terms of matrices, the rank distance is equal to the minimum total weight of a series of weighted operations that leads from one genome to the other, including inversions, translocations, transpositions, and others...
May 8, 2018: BMC Bioinformatics
HaoTian Harvey Shi, Nazanin Khalili, Taylor Morrison, Hani Naguib
A novel polyaniline nanorod (PAniNR) three-dimensional structure was successfully grown on flexible polyacrylonitrile (PAN) nanofiber substrate as the electrode material for electrochemical capacitors, constructed via self-stabilized dispersion polymerization process. The electrode offered desired mechanical properties such as flexibility and bendability, while it maintained optimal electrochemical characteristics. The electrode and the assembled electrochemical capacitor cell also achieved intrinsic piezoresistive sensing properties, leading to the real-time monitoring of excess mechanical pressure and bending during cell operations...
May 9, 2018: ACS Applied Materials & Interfaces
Zhiliang Bai, Shili Chen, Lecheng Jia, Zhoumo Zeng
Embracing the fact that one can recover certain signals and images from far fewer measurements than traditional methods use, compressive sensing (CS) provides solutions to huge amounts of data collection in phased array-based material characterization. This article describes how a CS framework can be utilized to effectively compress ultrasonic phased array images in time and frequency domains. By projecting the image onto its Discrete Cosine transform domain, a novel scheme was implemented to verify the potentiality of CS for data reduction, as well as to explore its reconstruction accuracy...
May 8, 2018: Sensors
Thai Akasaka, Koji Fujimoto, Takayuki Yamamoto, Tomohisa Okada, Yasutaka Fushimi, Akira Yamamoto, Toshiyuki Tanaka, Kaori Togashi
[This corrects the article DOI: 10.1371/journal.pone.0146548.].
2018: PloS One
Jianjun Yuan, Jianjun Wang
Compressive sensing can be used to reduce noise. However, some details also are sparsified. This paper presents a new denoising model based on compressive sensing with L1 and Hessian regularizations for magnetic resonance images denoising. Firstly, the proposed model can make an image more sparse through L1 regularization and reduce noise. Secondly, Hessian regularization is introduced to protect some details from being over-smoothed. Experimental results demonstrate that the proposed method is efficient, and has better denoising capability...
May 2, 2018: Magnetic Resonance Imaging
Huiting Zhang, Junshuai Xie, Sa Xiao, Xiuchao Zhao, Ming Zhang, Lei Shi, Ke Wang, Guangyao Wu, Xianping Sun, Chaohui Ye, Xin Zhou
PURPOSE: To demonstrate the feasibility of compressed sensing (CS) to accelerate the acquisition of hyperpolarized (HP) 129 Xe multi-b diffusion MRI for quantitative assessments of lung microstructural morphometry. METHODS: Six healthy subjects and six chronic obstructive pulmonary disease (COPD) subjects underwent HP 129 Xe multi-b diffusion MRI (b = 0, 10, 20, 30, and 40 s/cm2 ). First, a fully sampled (FS) acquisition of HP 129 Xe multi-b diffusion MRI was conducted in one healthy subject...
May 4, 2018: Medical Physics
Ki Hwan Kim, Won-Joon Do, Sung-Hong Park
PURPOSE: The routine MRI scan protocol consists of multiple pulse sequences that acquire images of varying contrast. Since high frequency contents such as edges are not significantly affected by image contrast, down-sampled images in one contrast may be improved by high resolution (HR) images acquired in another contrast, reducing the total scan time. In this study, we propose a new deep learning framework that uses HR MR images in one contrast to generate HR MR images from highly down-sampled MR images in another contrast...
May 4, 2018: Medical Physics
Marcin Runowski, Andrii Shyichuk, Artur Tymiński, Tomasz Grzyb, Víctor Lavín, Stefan Lis
Upconversion luminescence of nano-sized Yb3+ and Tm3+ co-doped rare earth phosphates, i.e. LaPO4 and YPO4, has been investigated under high pressure (up to ~25 GPa) and temperature (293-773 K) conditions. The pressure-dependent luminescence properties of the nanocrystals, i.e. energy red-shift of the band centroids, changes of the band ratios, shortening of upconversion lifetimes, etc., make the studied nanomaterials suitable for optical pressure sensing in nanomanometry. Furthermore, thanks to the large energy difference (~1800 cm-1), the thermalized states of Tm3+ ions are spectrally well separated, providing high temperature-resolution, required in optical nanothermometry...
May 3, 2018: ACS Applied Materials & Interfaces
Benjamin Marty, Bertrand Coppa, Pierre G Carlier
OBJECTIVES: To develop a fast, high-resolution T1-mapping sequence dedicated to skeletal muscle imaging, and to evaluate the potential of T1 as a robust and sensitive biomarker for the monitoring of chronic fatty degenerations in a dystrophic disease. METHODS: The magnetic resonance imaging sequence consisted of the acquisition of a 1,000-radial-spokes FLASH echo-train following magnetisation inversion, resulting in 10s scan time per slice. Temporal image series were reconstructed using compressed sensing and T1 maps were computed using Bloch simulations...
April 30, 2018: European Radiology
Kevin Weekly, Ming Jin, Han Zou, Christopher Hsu, Chris Soyza, Alexandre Bayen, Costas Spanos
A building’s environment has profound influence on occupant comfort and health. Continuous monitoring of building occupancy and environment is essential to fault detection, intelligent control, and building commissioning. Though many solutions for environmental measuring based on wireless sensor networks exist, they are not easily accessible to households and building owners who may lack time or technical expertise needed to set up a system and get quick and detailed overview of environmental conditions...
April 29, 2018: Sensors
Sahar Nassirpour, Paul Chang, Nikolai Avdievitch, Anke Henning
PURPOSE: The aim of this study was to apply compressed sensing to accelerate the acquisition of high resolution metabolite maps of the human brain using a nonlipid suppressed ultra-short TR and TE 1 H FID MRSI sequence at 9.4T. METHODS: X-t sparse compressed sensing reconstruction was optimized for nonlipid suppressed 1 H FID MRSI data. Coil-by-coil x-t sparse reconstruction was compared with SENSE x-t sparse and low rank reconstruction. The effect of matrix size and spatial resolution on the achievable acceleration factor was studied...
April 29, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
Songhyun Lee, Jae Gwan Kim
Continuous wave diffuse optical tomographic/spectroscopic system does not provide absolute concentrations of chromophores in tissue and monitor only the changes of chromophore concentration. Therefore, it requires a perturbation of physiological signals, such as blood flow and oxygenation. In that sense, a few groups reported that monitoring a relative hemodynamic change during a breast tissue compression or a breath-hold to a patient can provide good contrast between tumor and nontumor. However, no longitudinal study reports the utilization of a breath-hold to predict tumor response during chemotherapy...
April 2018: Journal of Biomedical Optics
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"