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https://www.readbyqxmd.com/read/28214787/sparse-and-dense-hybrid-representation-via-subspace-modeling-for-dynamic-mri
#1
Qiegen Liu, Shanshan Wang, Dong Liang
Recent theoretical results on compressed sensing and low-rank matrix recovery have inspired significant interest in joint sparse and low rank modeling of dynamic magnetic resonance imaging (dMRI). Existing approaches usually describe these two respective prior information with different formulations. In this paper, we present a novel sparse and dense hybrid representation (SDR) model which describes the sparse plus low rank properties by a unified way. More specifically, under the learned dictionary consisting of temporal basis functions, SDR models the spatial coefficients in two subspaces with Laplacian and Gaussian prior distributions, respectively...
February 5, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/28214519/detection-and-quantification-of-soil-transmitted-helminths-in-environmental-samples-a-review-of-current-state-of-the-art-and-future-perspectives
#2
REVIEW
Isaac Dennis Amoah, Gulshan Singh, Thor Axel Stenström, Poovendhree Reddy
It is estimated that over a billion people are infected with soil-transmitted helminths (STHs) globally with majority occurring in tropical and subtropical regions of the world. The roundworm (Ascaris lumbricoides), whipworm (Trichuris trichiura), and hookworms (Anclostoma duodenale and Necator americanus) are the main species infecting people. These infections are mostly gained through exposure to faecally contaminated water, soil or contaminated food and with an increase in the risk of infections due to wastewater and sludge reuse in agriculture...
February 15, 2017: Acta Tropica
https://www.readbyqxmd.com/read/28214111/remediation-of-contaminated-lands-in-the-niger-delta-nigeria-prospects-and-challenges
#3
REVIEW
Nenibarini Zabbey, Kabari Sam, Adaugo Trinitas Onyebuchi
Contamination of the total environment (air, soil, water and biota) by crude oil has become a paramount interest in the Niger Delta region of Nigeria. Studies have revealed variable impacts of oil toxicity on the environment and exposed populations. The revelation gained much international attention in 2011 with the release of Environmental Assessment of Ogoniland report by the United Nations Environment Programme (UNEP). This has up scaled local and international pressures for urgent clean-up and restoration of degraded bio-resource rich environments of the Niger Delta, starting from Ogoniland...
February 14, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28213793/automation-of-peak-tracking-analysis-of-stepwise-perturbed-nmr-spectra
#4
Tommaso Banelli, Marco Vuano, Federico Fogolari, Andrea Fusiello, Gennaro Esposito, Alessandra Corazza
We describe a new algorithmic approach able to automatically pick and track the NMR resonances of a large number of 2D NMR spectra acquired during a stepwise variation of a physical parameter. The method has been named Trace in Track (TINT), referring to the idea that a gaussian decomposition traces peaks within the tracks recognised through 3D mathematical morphology. It is capable of determining the evolution of the chemical shifts, intensity and linewidths of each tracked peak.The performances obtained in term of track reconstruction and correct assignment on realistic synthetic spectra were high above 90% when a noise level similar to that of experimental data were considered...
February 17, 2017: Journal of Biomolecular NMR
https://www.readbyqxmd.com/read/28213648/-state-of-the-art-in-fluid-and-volume-therapy-a%C3%A2-user-friendly-staged-concept
#5
M Rehm, N Hulde, T Kammerer, A S Meidert, K Hofmann-Kiefer
Adequate fluid therapy is highly important for the perioperative outcome of our patients. Both, hypovolemia and hypervolemia can lead to an increase in perioperative complications and can impair the outcome. Therefore, perioperative infusion therapy should be target-oriented. The main target is to maintain the patient's preoperative normovolemia by using a sophisticated, rational infusion strategy.Perioperative fluid losses should be discriminated from volume losses (surgical blood loss or interstitial volume losses containing protein)...
February 17, 2017: Der Anaesthesist
https://www.readbyqxmd.com/read/28212961/mapping-to-estimate-health-state-utility-from-non-preference-based-outcome-measures-an-ispor-good-practices-for-outcomes-research-task-force-report
#6
Allan J Wailoo, Monica Hernandez-Alava, Andrea Manca, Aurelio Mejia, Joshua Ray, Bruce Crawford, Marc Botteman, Jan Busschbach
Economic evaluation conducted in terms of cost per quality-adjusted life-year (QALY) provides information that decision makers find useful in many parts of the world. Ideally, clinical studies designed to assess the effectiveness of health technologies would include outcome measures that are directly linked to health utility to calculate QALYs. Often this does not happen, and even when it does, clinical studies may be insufficient for a cost-utility assessment. Mapping can solve this problem. It uses an additional data set to estimate the relationship between outcomes measured in clinical studies and health utility...
January 2017: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/28212350/a-hierarchical-framework-combining-motion-and-feature-information-for-infrared-visible-video-registration
#7
Xinglong Sun, Tingfa Xu, Jizhou Zhang, Xiangmin Li
In this paper, we propose a novel hierarchical framework that combines motion and feature information to implement infrared-visible video registration on nearly planar scenes. In contrast to previous approaches, which involve the direct use of feature matching to find the global homography, the framework adds coarse registration based on the motion vectors of targets to estimate scale and rotation prior to matching. In precise registration based on keypoint matching, the scale and rotation are used in re-location to eliminate their impact on targets and keypoints...
February 16, 2017: Sensors
https://www.readbyqxmd.com/read/28212327/a-robust-random-forest-based-approach-for-heart-rate-monitoring-using-photoplethysmography-signal-contaminated-by-intense-motion-artifacts
#8
Yalan Ye, Wenwen He, Yunfei Cheng, Wenxia Huang, Zhilin Zhang
The estimation of heart rate (HR) based on wearable devices is of interest in fitness. Photoplethysmography (PPG) is a promising approach to estimate HR due to low cost; however, it is easily corrupted by motion artifacts (MA). In this work, a robust approach based on random forest is proposed for accurately estimating HR from the photoplethysmography signal contaminated by intense motion artifacts, consisting of two stages. Stage 1 proposes a hybrid method to effectively remove MA with a low computation complexity, where two MA removal algorithms are combined by an accurate binary decision algorithm whose aim is to decide whether or not to adopt the second MA removal algorithm...
February 16, 2017: Sensors
https://www.readbyqxmd.com/read/28212290/defining-clinical-response-criteria-and-early-response-criteria-for-precision-oncology-current-state-of-the-art-and-future-perspectives
#9
Vivek Subbiah, Hubert H Chuang, Dhiraj Gambhire, Kalevi Kairemo
In this era of precision oncology, there has been an exponential growth in the armamentarium of genomically targeted therapies and immunotherapies. Evaluating early responses to precision therapy is essential for "go" versus "no go" decisions for these molecularly targeted drugs and agents that arm the immune system. Many different response assessment criteria exist for use in solid tumors and lymphomas. We reviewed the literature using the Medline/PubMed database for keywords "response assessment" and various known response assessment criteria published up to 2016...
February 15, 2017: Diagnostics
https://www.readbyqxmd.com/read/28212138/deep-learning-in-mammography-diagnostic-accuracy-of-a-multipurpose-image-analysis-software-in-the-detection-of-breast-cancer
#10
Anton S Becker, Magda Marcon, Soleen Ghafoor, Moritz C Wurnig, Thomas Frauenfelder, Andreas Boss
OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of a multipurpose image analysis software based on deep learning with artificial neural networks for the detection of breast cancer in an independent, dual-center mammography data set. MATERIALS AND METHODS: In this retrospective, Health Insurance Portability and Accountability Act-compliant study, all patients undergoing mammography in 2012 at our institution were reviewed (n = 3228). All of their prior and follow-up mammographies from a time span of 7 years (2008-2015) were considered as a reference for clinical diagnosis...
February 16, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28212106/view-based-3-d-model-retrieval-a-benchmark
#11
An-An Liu, Wei-Zhi Nie, Yue Gao, Yu-Ting Su
View-based 3-D model retrieval is one of the most important techniques in numerous applications of computer vision. While many methods have been proposed in recent years, to the best of our knowledge, there is no benchmark to evaluate the state-of-the-art methods. To tackle this problem, we systematically investigate and evaluate the related methods by: 1) proposing a clique graph-based method and 2) reimplementing six representative methods. Moreover, we concurrently evaluate both hand-crafted visual features and deep features on four popular datasets (NTU60, NTU216, PSB, and ETH) and one challenging real-world multiview model dataset (MV-RED) prepared by our group with various evaluation criteria to understand how these algorithms perform...
February 15, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28212105/compositional-model-based-sketch-generator-in-facial-entertainment
#12
Mingjin Zhang, Jie Li, Nannan Wang, Xinbo Gao
Face sketch synthesis (FSS) plays an important role in facial entertainment, which includes face sketch morphing among two styles, multiview FSS and face sketch expression manipulation. For facial entertainment, most existing FSS methods generate sketches with over-smoothing effects, i.e., fine details are suppressed more or less. In this paper, we propose a face sketch generator based on the compositional model to handle this issue. It decomposes a face into different components instead of patches as before, and each component has several candidate templates...
February 14, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28212104/joint-feature-selection-and-classification-for-multilabel-learning
#13
Jun Huang, Guorong Li, Qingming Huang, Xindong Wu
Multilabel learning deals with examples having multiple class labels simultaneously. It has been applied to a variety of applications, such as text categorization and image annotation. A large number of algorithms have been proposed for multilabel learning, most of which concentrate on multilabel classification problems and only a few of them are feature selection algorithms. Current multilabel classification models are mainly built on a single data representation composed of all the features which are shared by all the class labels...
February 14, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28212093/predicting-antimicrobial-peptides-by-using-increment-of-diversity-with-quadratic-discriminant-analysis-method
#14
Pengmian Feng, Zhenyi Wang, Xiaoyu Yu
Antimicrobial peptides are crucial components of the innate host defense system of most living organisms and promising candidates for antimicrobial agents. Accurate classification of antimicrobial peptides will be helpful to the discovery of new therapeutic targets. In this work, the Increment of Diversity with Quadratic Discriminant analysis (IDQD) was presented to classify antifungal and antibacterial peptides based on primary sequence information. In the jackknife test, the proposed IDQD model yields an accuracy of 86...
February 14, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28212090/parallel-locally-ordered-clustering-for-bounding-volume-hierarchy-construction
#15
Daniel Meister, Jiri Bittner
We propose a novel massively parallel construction algorithm for Bounding Volume Hierarchies (BVHs) based on locally-ordered agglomerative clustering. Our method builds the BVH iteratively from bottom to top by merging a batch of cluster pairs in each iteration. To efficiently find the neighboring clusters, we keep the clusters ordered along the Morton curve. This ordering allows us to identify approximate nearest neighbors very efficiently and in parallel. We implemented our algorithm in CUDA and evaluated it in the context of GPU ray tracing...
February 15, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28212082/semantic-highlight-retrieval-and-term-prediction
#16
Min Sun, Kuo-Hao Zeng, Yenchen Lin, Farhadi Ali
Due to the unprecedented growth of unedited videos, finding highlights relevant to a text query in a set of unedited videos has become increasingly important. We refer this task as semantic highlight retrieval and propose a query-dependent video representation for retrieving a variety of highlights. Our method consists of two parts: (1) "viralets", a mid-level representation bridging between semantic (Fig. 1(a)) and visual (Fig. 1(c)) spaces; (2) a novel Semantic-MODulation (SMOD) procedure to make viralets query-dependent (referred to as SMOD viralets)...
February 13, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28212081/a-comparative-analysis-of-cmut-receiving-architectures-for-design-optimization-of-integrated-transceiver-front-ends
#17
Marco Sautto, Alessandro Stuart Savoia, Fabio Quaglia, Giosue Caliano, Andrea Mazzanti
A formal comparison between fundamental RX amplifier configurations for Capacitive Micromachined Ultrasonic Transducers (CMUT) is proposed in this paper. The impact on both RX and the pulse-echo frequency response and on the output SNR are thoroughly analysed and discussed. It is shown that the resistive-feedback amplifier yields a band-pass RX frequency response, while both open-loop voltage and capacitivefeedback amplifiers exhibit a low-pass frequency response. For a given power dissipation, it is formally proved that a capacitivefeedback amplifier provides a remarkable SNR improvement against the commonly adopted resistive feedback stage, achieved at the expense of a reduced pulse-echo center frequency, making its use convenient in low and mid-frequency ultrasound imaging applications...
February 13, 2017: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/28212078/demographic-analysis-from-biometric-data-achievements-challenges-and-new-frontiers
#18
Yunlian Sun, Man Zhang, Zhenan Sun, Tieniu Tan
Biometrics is the technique of automatically recognizing individuals based on their biological or behavioral characteristics. Various biometric traits have been introduced and widely investigated, including fingerprint, iris, face, voice, palmprint, gait and so forth. Apart from identity, biometric data may convey various other personal information, covering affect, age, gender, race, accent, handedness, height, weight, etc. Among these, analysis of demographics (age, gender, and race) has received tremendous attention owing to its wide realworld applications, with significant efforts devoted and great progress achieved...
February 14, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28211592/a-methodology-for-assessing-deployment-trauma-and-its-consequences-in-oef-oif-ond-veterans-the-tracts-longitudinal-prospective-cohort-study
#19
Regina E McGlinchey, William P Milberg, Jennifer R Fonda, Catherine Brawn Fortier
Many US veterans of Afghanistan and Iraq have multiple physical and psychiatric problems. A major focus of research has been on determining the effects of mild Traumatic Brain Injury (mTBI), but mTBI is rarely diagnosed in the absence of co-occurring conditions such as blast exposure, post-traumatic stress disorder (PTSD), depression, substance abuse, etc. These potentially interactive psychological and physical conditions produce complex patterns of cognitive, psychological, and physical symptoms that impede civilian reintegration and complicate efficient and effective treatment planning...
February 17, 2017: International Journal of Methods in Psychiatric Research
https://www.readbyqxmd.com/read/28211591/magnetic-resonance-imaging-of-the-knee-an-overview-and-update-of-conventional-and-state-of-the-art-imaging
#20
Nicholas C Nacey, Matthew G Geeslin, Grady Wilson Miller, Jennifer L Pierce
: Magnetic resonance imaging (MRI) has become the preferred modality for imaging the knee to show pathology and guide patient management and treatment. The knee is one of the most frequently injured joints, and knee pain is a pervasive difficulty that can affect all age groups. Due to the diverse pathology, complex anatomy, and a myriad of injury mechanisms of the knee, the MRI knee protocol and sequences should ensure detection of both soft tissue and osseous structures in detail and with accuracy...
February 17, 2017: Journal of Magnetic Resonance Imaging: JMRI
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