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https://www.readbyqxmd.com/read/28333627/ultrasound-image-despeckling-using-stochastic-distance-based-bm3d
#1
Cid Santos, Diego Martins, Nelson Mascarenhas
Ultrasound image despeckling is an important research field since it can improve the interpretability of one of the main categories of medical imaging. Many techniques have been tried over the years for ultrasound despeckling, and more recently, a great deal of attention has been focused on patch-based methods, such as non-local means (NLM) and block-matching collaborative filtering (BM3D). A common idea in these recent methods is the measure of distance between patches, originally proposed as the Euclidean distance, for filtering additive white Gaussian noise...
March 21, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28332211/a-multi-channel-block-matching-denoising-algorithm-for-spectral-photon-counting-ct-images
#2
Adam P Harrison, Ziyue Xu, David A Bluemke, Amir Pourmorteza, Daniel J Mollura
PURPOSE: We present a denoising algorithm designed for a whole-body prototype photon-counting computed tomography (PCCT) scanner with up to 4 energy thresholds and associated energy-binned images. METHODS: Spectral PCCT images can exhibit low signal to noise ratios (SNRs) due to the limited photon counts in each simultaneously-acquired energy bin. To help address this, our denoising method exploits the correlation and exact alignment between energy bins, adapting the highly-effective block-matching 3D (BM3D) denoising algorithm for PCCT...
March 23, 2017: Medical Physics
https://www.readbyqxmd.com/read/28327206/lessons-learned-from-additional-research-analyses-of-unsolved-clinical-exome-cases
#3
Mohammad K Eldomery, Zeynep Coban-Akdemir, Tamar Harel, Jill A Rosenfeld, Tomasz Gambin, Asbjørg Stray-Pedersen, Sébastien Küry, Sandra Mercier, Davor Lessel, Jonas Denecke, Wojciech Wiszniewski, Samantha Penney, Pengfei Liu, Weimin Bi, Seema R Lalani, Christian P Schaaf, Michael F Wangler, Carlos A Bacino, Richard Alan Lewis, Lorraine Potocki, Brett H Graham, John W Belmont, Fernando Scaglia, Jordan S Orange, Shalini N Jhangiani, Theodore Chiang, Harsha Doddapaneni, Jianhong Hu, Donna M Muzny, Fan Xia, Arthur L Beaudet, Eric Boerwinkle, Christine M Eng, Sharon E Plon, V Reid Sutton, Richard A Gibbs, Jennifer E Posey, Yaping Yang, James R Lupski
BACKGROUND: Given the rarity of most single-gene Mendelian disorders, concerted efforts of data exchange between clinical and scientific communities are critical to optimize molecular diagnosis and novel disease gene discovery. METHODS: We designed and implemented protocols for the study of cases for which a plausible molecular diagnosis was not achieved in a clinical genomics diagnostic laboratory (i.e. unsolved clinical exomes). Such cases were recruited to a research laboratory for further analyses, in order to potentially: (1) accelerate novel disease gene discovery; (2) increase the molecular diagnostic yield of whole exome sequencing (WES); and (3) gain insight into the genetic mechanisms of disease...
March 21, 2017: Genome Medicine
https://www.readbyqxmd.com/read/28301397/the-michigan-trauma-quality-improvement-program-results-from-a-collaborative-quality-initiative
#4
Mark R Hemmila, Jill L Jakubus, Anne H Cain-Nielsen, John P Kepros, Wayne E Vander Kolk, Wendy L Wahl, Judy N Mikhail
BACKGROUND: American College of Surgeons verified trauma centers and a third party payer within the state of Michigan built a regional collaborative quality initiative (CQI). The Michigan Trauma Quality Improvement Program began as a pilot in 2008 and expanded to a formal program in 2011. Here, we examine the performance of the collaborative over time with regard to patient outcomes, resource utilization, and process measures. METHODS: Data from the initial 23 hospitals that joined the CQI in 2011 were analyzed...
March 15, 2017: Journal of Trauma and Acute Care Surgery
https://www.readbyqxmd.com/read/28296902/multi-vehicle-detection-with-identity-awareness-using-cascade-adaboost-and-adaptive-kalman-filter-for-driver-assistant-system
#5
Baofeng Wang, Zhiquan Qi, Sizhong Chen, Zhaodu Liu, Guocheng Ma
Vision-based vehicle detection is an important issue for advanced driver assistance systems. In this paper, we presented an improved multi-vehicle detection and tracking method using cascade Adaboost and Adaptive Kalman filter(AKF) with target identity awareness. A cascade Adaboost classifier using Haar-like features was built for vehicle detection, followed by a more comprehensive verification process which could refine the vehicle hypothesis in terms of both location and dimension. In vehicle tracking, each vehicle was tracked with independent identity by an Adaptive Kalman filter in collaboration with a data association approach...
2017: PloS One
https://www.readbyqxmd.com/read/28291675/choices-of-stent-and-cerebral-protection-in-the-ongoing-acst-2-trial-a-descriptive-study
#6
D D de Waard, A Halliday, G J de Borst, R Bulbulia, A Huibers, R Casana, L H Bonati, V Tolva
OBJECTIVE/BACKGROUND: Several plaque and lesion characteristics have been associated with an increased risk for procedural stroke during or shortly after carotid artery stenting (CAS). While technical advancements in stent design and cerebral protection devices (CPD) may help reduce the procedural stroke risk, and anatomy remains important, tailoring stenting procedures according to plaque and lesion characteristics might be a useful strategy in reducing stroke associated with CAS. In this descriptive report of the ongoing Asymptomatic Carotid Surgery Trial-2 (ACST-2), it was assessed whether choice for stent and use or type of CPD was influenced by plaque and lesion characteristics...
March 11, 2017: European Journal of Vascular and Endovascular Surgery
https://www.readbyqxmd.com/read/28252388/three-dimensional-segmentation-of-the-ex-vivo-anterior-lamina-cribrosa-from-second-harmonic-imaging-microscopy
#7
Sundaresh Ram, Forest Danford, Stephen Howerton, Jeffrey Rodriguez, Jonathan Vande Geest
The lamina cribrosa (LC) 1 is a connective tissue in the posterior eye with a complex mesh-like trabecular microstructure through which all the retinal ganglion cell axons and central retinal vessels pass. Recent studies have demonstrated that changes in the structure of the LC correlate with glaucomatous damage. Thus, accurate segmentation and reconstruction of the LC is of utmost importance. This paper presents a new automated method for segmenting the microstructure of the anterior LC in the images obtained via multiphoton microscopy using a combination of ideas...
February 23, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28203287/specific-immunotherapy-in-renal-cancer-a-systematic-review
#8
REVIEW
Armin Hirbod-Mobarakeh, Hesam Addin Gordan, Zahra Zahiri, Mohammad Mirshahvalad, Sima Hosseinverdi, Brian I Rini, Nima Rezaei
BACKGROUND: Renal cell cancer (RCC) is the tenth most common malignancy in adults. In recent years, several approaches of active and passive immunotherapy have been studied extensively in clinical trials of patients with RCC. The aim of this systematic review was to assess the clinical efficacy of various approaches of specific immunotherapy in patients with RCC. METHODS: We searched Medline, Scopus, CENTRAL, TRIP, DART, OpenGrey and ProQuest without any language filter through to 9 October 2015...
February 2017: Therapeutic Advances in Urology
https://www.readbyqxmd.com/read/28155846/rationalizing-the-permeation-of-polar-antibiotics-into-gram-negative-bacteria
#9
Mariano Andrea Scorciapino, Silvia Acosta-Gutierrez, Dehbia Benkerrou, Tommaso D'Agostino, Giuliano Malloci, Susruta Samanta, Igor Bodrenko, Matteo Ceccarelli
The increasing level of antibiotic resistance in Gram-negative bacteria, together with the lack of new potential drug scaffolds in the pipeline, make the problem of infectious diseases a global challenge for modern medicine. The main reason that Gram-negative bacteria are particularly challenging is the presence of an outer cell-protecting membrane, which is not present in Gram-positive species. Such an asymmetric bilayer is a highly effective barrier for polar molecules. Several protein systems are expressed in the outer membrane to control the internal concentration of both nutrients and noxious species, in particular: (i) water-filled channels that modulate the permeation of polar molecules and ions according to concentration gradients, and (ii) efflux pumps to actively expel toxic compounds...
March 22, 2017: Journal of Physics. Condensed Matter: An Institute of Physics Journal
https://www.readbyqxmd.com/read/28151447/ceramic-pot-filters-lifetime-study-in-coastal-guatemala
#10
C Salvinelli, A C Elmore, B R García Hernandez, K D Drake
Ceramic pot filters (CPFs) are an effective means of household water treatment, but the characterization of CPF lifetimes is ongoing. This paper describes a lifetime field study in Guatemala which was made possible by a collaboration between researchers, CPF-using households, and local non-governmental organizations (NGOs). Disinfection data were collected periodically for two years using field coliform enumeration kits as were flow rate data with the assistance of NGO staff. Consumer acceptance was characterized by surveying householders in the four subject villages at the beginning and end of the study...
February 2017: Journal of Water and Health
https://www.readbyqxmd.com/read/28114068/learning-collaborative-sparse-representation-for-grayscale-thermal-tracking
#11
Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, Liang Lin
Integrating multiple different yet complementary feature representations has been proved to be an effective way for boosting tracking performance. This paper investigates how to perform robust object tracking in challenging scenarios by adaptively incorporating information from grayscale and thermal videos, and proposes a novel collaborative algorithm for online tracking. In particular, an adaptive fusion scheme is proposed based on collaborative sparse representation in Bayesian filtering framework. We jointly optimize sparse codes and the reliable weights of different modalities in an online way...
September 27, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28113690/multirelational-social-recommendations-via-multigraph-ranking
#12
Mingsong Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang
Recommender systems aim to identify relevant items for particular users in large-scale online applications. The historical rating data of users is a valuable input resource for many recommendation models such as collaborative filtering (CF), but these models are known to suffer from the rating sparsity problem when the users or items under consideration have insufficient rating records. With the continued growth of online social networks, the increased user-to-user relationships are reported to be helpful and can alleviate the CF rating sparsity problem...
September 12, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28106516/rural-end-of-life-care-from-the-experiences-and-perspectives-of-patients-and-family-caregivers-a-systematic-literature-review
#13
Suzanne Rainsford, Roderick D MacLeod, Nicholas J Glasgow, Christine B Phillips, Robert B Wiles, Donna M Wilson
BACKGROUND: End-of-life care must be relevant to the dying person and their family caregiver regardless of where they live. Rural areas are distinct and need special consideration. Gaining end-of-life care experiences and perspectives of rural patients and their family caregivers is needed to ensure optimal rural care. AIMS: To describe end-of-life care experiences and perspectives of rural patients and their family caregivers, to identify facilitators and barriers to receiving end-of-life care in rural/remote settings and to describe the influence of rural place and culture on end-of-life care experiences...
January 1, 2017: Palliative Medicine
https://www.readbyqxmd.com/read/28103558/effective-multi-query-expansions-collaborative-deep-networks-for-robust-landmark-retrieval
#14
Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang
Given a query photo issued by a user (q-user), the landmark retrieval is to return a set of photos with their landmarks similar to those of the query, while the existing studies on the landmark retrieval focus on exploiting geometries of landmarks for similarity matches between candidate photos and a query photo. We observe that the same landmarks provided by different users over social media community may convey different geometry information depending on the viewpoints and/or angles, and may, subsequently, yield very different results...
March 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28047585/su-d-206-06-task-specific-optimization-of-scintillator-thickness-for-cmos-detector-based-cone-beam-breast-ct
#15
S Vedantham, S Shrestha, L Shi, G Vijayaraghavan, A Karellas
PURPOSE: To optimize the cesium iodide (CsI:Tl) scintillator thickness in a complimentary metal-oxide semiconductor (CMOS)-based detector for use in dedicated cone-beam breast CT. METHODS: The imaging task considered was the detection of a microcalcification cluster comprising six 220µm diameter calcium carbonate spheres, arranged in the form of a regular pentagon with 2 mm spacing on its sides and a central calcification, similar to that in ACR-recommended mammography accreditation phantom, at a mean glandular dose of 4...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28045897/correction-large-scale-off-target-identification-using-fast-and-accurate-dual-regularized-one-class-collaborative-filtering-and-its-application-to-drug-repurposing
#16
(no author information available yet)
[This corrects the article DOI: 10.1371/journal.pcbi.1005135.].
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28029176/robot-assisted-surgery-in-gynecological-oncology-current-status-and-controversies-on-patient-benefits-cost-and-surgeon-conditions-a-systematic-review
#17
REVIEW
Steffen E Kristensen, Berit J Mosgaard, Mikkel Rosendahl, Tórur Dalsgaard, Signe F Bjørn, Ligita P Frøding, Henrik Kehlet, Claus K Høgdall, Henrik Lajer
INTRODUCTION: Robot-assisted surgery has become more widespread in gynecological oncology. The purpose of this systematic review is to present current knowledge on robot-assisted surgery, and to clarify and discuss controversies that have arisen alongside the development and deployment. MATERIAL AND METHODS: A database search in PubMed and EMBASE was performed up until 4 March 2016. The search strategy was developed in collaboration with an information specialist, and by application of the PRISMA guidelines...
December 28, 2016: Acta Obstetricia et Gynecologica Scandinavica
https://www.readbyqxmd.com/read/28018026/harnessing-learning-biases-is-essential-for-applying-social-learning-in-conservation
#18
REVIEW
Alison L Greggor, Alex Thornton, Nicola S Clayton
Social learning can influence how animals respond to anthropogenic changes in the environment, determining whether animals survive novel threats and exploit novel resources or produce maladaptive behaviour and contribute to human-wildlife conflict. Predicting where social learning will occur and manipulating its use are, therefore, important in conservation, but doing so is not straightforward. Learning is an inherently biased process that has been shaped by natural selection to prioritize important information and facilitate its efficient uptake...
2017: Behavioral Ecology and Sociobiology
https://www.readbyqxmd.com/read/27987162/ensembl-plants-integrating-tools-for-visualizing-mining-and-analyzing-plant-genomic-data
#19
Dan M Bolser, Daniel M Staines, Emily Perry, Paul J Kersey
Ensembl Plants ( http://plants.ensembl.org ) is an integrative resource presenting genome-scale information for 39 sequenced plant species. Available data includes genome sequence, gene models, functional annotation, and polymorphic loci; for the latter, additional information including population structure, individual genotypes, linkage, and phenotype data is available for some species. Comparative data is also available, including genomic alignments and "gene trees," which show the inferred evolutionary history of each gene family represented in the resource...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27958331/improved-genome-scale-multi-target-virtual-screening-via-a-novel-collaborative-filtering-approach-to-cold-start-problem
#20
Hansaim Lim, Paul Gray, Lei Xie, Aleksandar Poleksic
Conventional one-drug-one-gene approach has been of limited success in modern drug discovery. Polypharmacology, which focuses on searching for multi-targeted drugs to perturb disease-causing networks instead of designing selective ligands to target individual proteins, has emerged as a new drug discovery paradigm. Although many methods for single-target virtual screening have been developed to improve the efficiency of drug discovery, few of these algorithms are designed for polypharmacology. Here, we present a novel theoretical framework and a corresponding algorithm for genome-scale multi-target virtual screening based on the one-class collaborative filtering technique...
December 13, 2016: Scientific Reports
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