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Compressed sensing

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https://www.readbyqxmd.com/read/28342291/advances-in-mri-around-metal
#1
REVIEW
Pia M Jungmann, Christoph A Agten, Christian W Pfirrmann, Reto Sutter
The prevalence of orthopedic metal implants is continuously rising in the aging society. Particularly the number of joint replacements is increasing. Although satisfying long-term results are encountered, patients may suffer from complaints or complications during follow-up, and often undergo magnetic resonance imaging (MRI). Yet metal implants cause severe artifacts on MRI, resulting in signal-loss, signal-pileup, geometric distortion, and failure of fat suppression. In order to allow for adequate treatment decisions, metal artifact reduction sequences (MARS) are essential for proper radiological evaluation of postoperative findings in these patients...
March 25, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28333629/curl-constrained-gradient-estimation-for-image-recovery-from-highly-incomplete-spectral-data
#2
Chiara Ravazzi, Giulio Coluccia, Enrico Magli
In this paper, we introduce new gradient-based methods for image recovery from a small collection of spectral coefficients of the Fourier transform, which is of particular interest for several scanning technologies, such as magnetic resonance imaging. Since gradients of a medical image are much more sparse or compressible than the corresponding image, classical `1- minimization methods have been used to recover these relative differences. The image values can then be obtained by integration algorithms imposing boundary constraints...
March 21, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28333431/ultrahigh-self-sensing-performance-of-geopolymer-nanocomposites-via-unique-interface-engineering
#3
Shuguang Bi, Ming Liu, Jingjing Shen, Xiao Matthew Hu, Liying Zhang
Monitoring and assessment of the health of a civil structural material are the critical requirements to ensure its safety and durability. In this work, a coating strategy on carbon nanotubes (CNTs) was employed for the dispersion of CNTs in geopolymer matrix. The geopolymer nanocomposites prepared exhibited ultrahigh self-sensing performance based on the unique behaviors of SiO2 coating on CNTs in the geopolymer matrix. The SiO2 layer on CNTs was partially or fully removed during the fabrication process to restore the conductive nature of CNTs, facilitating the dispersion of CNTs and forming well-connected 3D electrical conductive networks...
March 23, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28320684/the-overcomplete-dictionary-based-directional-estimation-model-and-nonconvex-reconstruction-methods
#4
Leping Lin, Fang Liu, Licheng Jiao, Shuyuan Yang, Hongxia Hao
In this paper, it is proposed the directional estimation model on the overcomplete dictionary, which bridges the compressed measurements of the image blocks and the directional structures of the dictionary. In the model, it is established the analytical method to estimate the structure type of a block as either smooth, single-oriented, or multioriented. Furthermore, the structures of each type of blocks are described by the structured subdictionaries. Then based on the obtained estimations and the constrains on the sparse dictionaries, the original image will be estimated...
March 10, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28320658/compressed-sensing-based-synthetic-transmit-aperture-imaging-validation-in-a-convex-array-configuration
#5
Jing Liu, Qiong He, Jianwen Luo
According to the linear acoustic theory, the channel data of a plane wave emitted by a linear array is a linear combination of the full dataset of synthetic transmit aperture (STA). Combining this relationship with compressed sensing (CS), a novel CS based ultrasound beamforming strategy, named compressed sensing based synthetic transmit aperture (CS-STA), was previously proposed to increase the frame rate of ultrasound imaging without sacrificing the image quality for a linear array. In this paper, assuming linear transfer function of pulse-echo ultrasound system, we derived and applied the theory of CS-STA for a slightly curved array and validated CS-STA in a convex array configuration...
March 14, 2017: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/28316282/motion-compensated-cine-cmr-of-the-fetal-heart-using-radial-undersampling-and-compressed-sensing
#6
Christopher W Roy, Mike Seed, John C Kingdom, Christopher K Macgowan
BACKGROUND: To develop and evaluate a reconstruction framework for high resolution time-resolved CMR of the fetal heart in the presence of motion. METHODS: Data were acquired using a golden angle radial trajectory in seven fetal subjects and reconstructed as real-time images to detect fetal movement. Data acquired during through-plane motion were discarded whereas in-plane motion was corrected. A fetal cardiac gating signal was extracted to sort the corrected data by cardiac phase, allowing reconstruction of cine images...
March 20, 2017: Journal of Cardiovascular Magnetic Resonance
https://www.readbyqxmd.com/read/28304353/phase-error-correction-for-approximated-observation-based-compressed-sensing-radar-imaging
#7
Bo Li, Falin Liu, Chongbin Zhou, Yuanhao Lv, Jingqiu Hu
Defocus of the reconstructed image of synthetic aperture radar (SAR) occurs in the presence of the phase error. In this work, a phase error correction method is proposed for compressed sensing (CS) radar imaging based on approximated observation. The proposed method has better image focusing ability with much less memory cost, compared to the conventional approaches, due to the inherent low memory requirement of the approximated observation operator. The one-dimensional (1D) phase error correction for approximated observation-based CS-SAR imaging is first carried out and it can be conveniently applied to the cases of random-frequency waveform and linear frequency modulated (LFM) waveform without any a priori knowledge...
March 17, 2017: Sensors
https://www.readbyqxmd.com/read/28301075/clinical-performance-of-high-resolution-late-gadolinium-enhancement-imaging-with-compressed-sensing
#8
Tamer A Basha, Mehmet Akçakaya, Charlene Liew, Connie W Tsao, Francesca N Delling, Gifty Addae, Long Ngo, Warren J Manning, Reza Nezafat
PURPOSE: To evaluate diagnostic image quality of 3D late gadolinium enhancement (LGE) with high isotropic spatial resolution (∼1.4 mm(3) ) images reconstructed from randomly undersampled k-space using LOw-dimensional-structure Self-learning and Thresholding (LOST). MATERIALS AND METHODS: We prospectively enrolled 270 patients (181 men; 55 ± 14 years) referred for myocardial viability assessment. 3D LGE with isotropic spatial resolution of 1.4 ± 0.1 mm(3) was acquired at 1...
March 16, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28300790/non-destructive-detection-of-wire-rope-discontinuities-from-residual-magnetic-field-images-using-the-hilbert-huang-transform-and-compressed-sensing
#9
Juwei Zhang, Xiaojiang Tan, Pengbo Zheng
Electromagnetic methods are commonly employed to detect wire rope discontinuities. However, determining the residual strength of wire rope based on the quantitative recognition of discontinuities remains problematic. We have designed a prototype device based on the residual magnetic field (RMF) of ferromagnetic materials, which overcomes the disadvantages associated with in-service inspections, such as large volume, inconvenient operation, low precision, and poor portability by providing a relatively small and lightweight device with improved detection precision...
March 16, 2017: Sensors
https://www.readbyqxmd.com/read/28297687/-a-rare-case-of-cerebellar-hemangioblastoma-causing-taste-disorder
#10
Hiroko Nakashiro, Masatou Kawashima, Fumitaka Yoshioka, Yukiko Nakahara, Yukinori Takase, Atsushi Ogata, Shoko Shimokawa, Jun Masuoka, Tatsuya Abe, Toshio Matsushima
Taste(gustation)is one of the five senses, and comprises the types: sweet, bitter, salty, sour, and umami. Taste disorders, such as dysgeusia and parageusia, are classified into 2 types: those with peripheral origin and those with central origin. The peripheral origin-type taste disorder is caused by zinc deficiency, mouth dryness, a side effect of radiotherapy or complication of systemic diseases such as, diabetes, hepatopathy, and nephropathy. The central origin-type taste disorder is reported to be caused due to demyelinating disease, pontine hemorrhage, pontine infarction, and thalamic infarction; it is very rarely caused by a brain tumor...
March 2017: No Shinkei Geka. Neurological Surgery
https://www.readbyqxmd.com/read/28296351/a-high-resolution-tape-sensor-improves-the-accuracy-of-applied-pressure-profiles-during-lower-leg-bandaging%C3%A2-%C3%A2-results-from-a-study-using-a-fibre-optic-sensing-tape
#11
Luke A Parkinson, Malou van Zanten, Neil Piller, John W Arkwright
Compression bandaging is a mainstay practice in the treatment of conditions such as chronic wounds and lymphoedema. However, the ability of practitioners to measure bandage application to a desired pressure profile is difficult because of sensor limitations. We have used a novel fibre-optic-based, high-resolution sub-bandage pressure monitor to measure adherence to a target pressure gradient during compression bandaging. Participants of various experience (n = 46) were asked to bandage a lower-leg manikin to a gradient of 40 (ankle) to 20 mmHg (proximal calf) in both a blinded trial and subsequently with sensor feedback...
March 10, 2017: International Wound Journal
https://www.readbyqxmd.com/read/28295827/feasibility-of-3d-navigator-triggered-magnetic-resonance-cholangiopancreatography-with-combined-parallel-imaging-and-compressed-sensing-reconstruction-at-3t
#12
Nieun Seo, Mi-Suk Park, Kyunghwa Han, Dongeun Kim, Kevin F King, Jin-Young Choi, Honsoul Kim, Hye Jin Kim, Minsu Lee, Heejin Bae, Myeong-Jin Kim
PURPOSE: To assess the feasibility of 3D navigator-triggered magnetic resonance cholangiopancreatography (MRCP) with combined parallel imaging (PI) and compressed sensing (CS). MATERIALS AND METHODS: With Institutional Review Board approval, 30 consecutive patients who underwent MRCP for suspected pancreaticobiliary disease were prospectively recruited. All patients underwent 3D navigator-triggered MRCP with conventional PI alone, and with combined PI and CS using a 3T machine...
March 11, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28295066/contrast-transfer-function-phase-retrieval-based-on-compressed-sensing
#13
Pablo Villanueva-Perez, Filippo Arcadu, Peter Cloetens, Marco Stampanoni
We report on a new contrast-transfer-function (CTF) phase-retrieval method based on the alternating direction method of multipliers (ADMMs), which allows us to exploit any compressed sensing regularization scheme reflecting the sparsity of the investigated object. The proposed iterative algorithm retrieves accurate phase maps from highly noisy single-distance projection microscopy data and is characterized by a stable convergence, not bounded to the prior knowledge of the object support or to the initialization strategy...
March 15, 2017: Optics Letters
https://www.readbyqxmd.com/read/28293752/acoustic-emission-signatures-during-failure-of-vertebra-and-long-bone
#14
Brian D Goodwin, Frank A Pintar, Narayan Yoganandan
Clinical classification of an injury has traditionally involved medical imaging, patient history, and physical examination. The pathogenesis or process of injury has been viewed as a crucial component to estimating fracture stability and direct treatment. However, injury classification systems generally exclude pathogenesis and injury mechanisms because these components are often difficult to elucidate. Furthermore, the development of bone damage relative to the mechanical response is difficult to quantify, which limits the ability to define injury and develop injury criteria...
March 14, 2017: Annals of Biomedical Engineering
https://www.readbyqxmd.com/read/28287973/optimized-color-filter-arrays-for-sparse-representation-based-demosaicking
#15
Jia Li, Chenyan Bai, Zhouchen Lin, Jian Yu
Demosaicking is the problem of reconstructing a color image from the raw image captured by a digital color camera that covers its only imaging sensor with a color filter array (CFA). Sparse representation based demosaicking has been shown to produce superior reconstruction quality. However, almost all existing algorithms in this category use the CFAs which are not specifically optimized for the algorithms. In this paper, we consider optimally designing CFAs for sparse representation based demosaicking, where the dictionary is well-chosen...
March 8, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28287440/approximate-sensory-data-collection-a-survey
#16
Siyao Cheng, Zhipeng Cai, Jianzhong Li
With the rapid development of the Internet of Things (IoTs), wireless sensor networks (WSNs) and related techniques, the amount of sensory data manifests an explosive growth. In some applications of IoTs and WSNs, the size of sensory data has already exceeded several petabytes annually, which brings too many troubles and challenges for the data collection, which is a primary operation in IoTs and WSNs. Since the exact data collection is not affordable for many WSN and IoT systems due to the limitations on bandwidth and energy, many approximate data collection algorithms have been proposed in the last decade...
March 10, 2017: Sensors
https://www.readbyqxmd.com/read/28282904/high-resolution-turntable-radar-imaging-via-two-dimensional-deconvolution-with-matrix-completion
#17
Xinfei Lu, Jie Xia, Zhiping Yin, Weidong Chen
Resolution is the bottleneck for the application of radar imaging, which is limited by the bandwidth for the range dimension and synthetic aperture for the cross-range dimension. The demand for high azimuth resolution inevitably results in a large amount of cross-range samplings, which always need a large number of transmit-receive channels or a long observation time. Compressive sensing (CS)-based methods could be used to reduce the samples, but suffer from the difficulty of designing the measurement matrix, and they are not robust enough in practical application...
March 8, 2017: Sensors
https://www.readbyqxmd.com/read/28281001/acute-complete-paraplegia-of-8-year-old-girl-caused-by-spinal-cord-infarction-following-minor-trauma-complicated-with-longitudinal-signal-change-of-spinal-cord
#18
Kosei Nagata, Yuji Tanaka, Hiroyuki Kanai, Yasushi Oshima
INTRODUCTION: Spinal cord infarction followed by minor trauma in pediatric patients is rare and causes serious paralysis. Fibrocartilaginous embolism (FCE) is a possible diagnosis and there have been no consecutive magnetic resonance imaging (MRI) reports. Here, we report a case of an acute complete paraplegia with spinal cord infarction and longitudinal spinal cord signal change following minor trauma in an 8-year-old girl. CASE DESCRIPTION: An 8-year-old girl presented to our hospital emergency services with total paraplegia 2 h after she hit her back and neck after doing a handstand and falling down...
March 9, 2017: European Spine Journal
https://www.readbyqxmd.com/read/28274197/sparse-proteomics-analysis-a-compressed-sensing-based-approach-for-feature-selection-and-classification-of-high-dimensional-proteomics-mass-spectrometry-data
#19
Tim O F Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander Leichtle, Jan Vybiral, Gitta Kutyniok, Christof Schütte
BACKGROUND: High-throughput proteomics techniques, such as mass spectrometry (MS)-based approaches, produce very high-dimensional data-sets. In a clinical setting one is often interested in how mass spectra differ between patients of different classes, for example spectra from healthy patients vs. spectra from patients having a particular disease. Machine learning algorithms are needed to (a) identify these discriminating features and (b) classify unknown spectra based on this feature set...
March 9, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28269328/efficient-compressive-sensing-of-ecg-segments-based-on-machine-learning-for-qrs-based-arrhythmia-detection
#20
Jeevan K Pant, Sridhar Krishnan
A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. Two features, namely, sum of absolute differences (SAD) and maximum of absolute differences (MAD) are efficiently computed for each ECG segment in the bio-sensor. The computed features can be transmitted from the bio-sensor using wireless channel, and they can be used in the receiver for determining the absence of QRS complex in the segment. By avoiding computationally expensive signal reconstruction for the ECG segments without QRS complex, it is shown, using simulation results, that computation time can be reduced by approximately 7...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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