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https://www.readbyqxmd.com/read/28231555/edge-preserving-denoising-for-intra-operative-cone-beam-ct-in-endovascular-aneurysm-repair
#1
Yi Liu, Miguel Castro, Mathieu Lederlin, Huazhong Shu, Adrien Kaladji, Pascal Haigron
C-arm cone-beam computed tomography (CBCT) acquisition during endovascular aneurysm repair (EVAR) is an emergent technology with more and more applications. It offers real time imaging with a stationary patient and provides 3-D information to achieve guidance of intervention. However, there is growing concern on the overall radiation doses delivered to patients all along the endovascular management due to pre-, intra-, and post-operative X-ray imaging. Manufactures may have their low dose protocols to realize reduction of radiation dose, but CBCT with a low dose protocol has too many artifacts, particularly streak artifacts, and decreased contrast-to-noise ratio (CNR)...
January 30, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/28231515/computational-tools-for-enzyme-improvement-why-everyone-can-and-should-use-them
#2
REVIEW
Maximilian Ccjc Ebert, Joelle N Pelletier
This review presents computational methods that experimentalists can readily use to create smart libraries for enzyme engineering and to obtain insights into protein-substrate complexes. Computational tools have the reputation of being hard to use and inaccurate compared to experimental methods in enzyme engineering, yet they are essential to probe datasets of ever-increasing size and complexity. In recent years, bioinformatics groups have made a huge leap forward in providing user-friendly interfaces and accurate algorithms for experimentalists...
February 20, 2017: Current Opinion in Chemical Biology
https://www.readbyqxmd.com/read/28231449/synthetic-gene-circuits-learn-to-classify
#3
Andriy Didovyk, Lev S Tsimring
An efficient computational algorithm is developed to design microRNA-based synthetic cell classifiers and to optimize their performance.
February 22, 2017: Cell Systems
https://www.readbyqxmd.com/read/28231351/evaluation-of-hemodynamics-in-a-prestressed-and-compliant-tapered-femoral-artery-using-an-optimization-based-inverse-algorithm
#4
Rupak K Banerjee, Gavin A D'Souza, Anup K Paul, Ashish Das
The important factors that affect the arterial wall compliance are the tissue properties of the arterial wall, the in vivo pulsatile pressure, and the prestressed condition of the artery. It is necessary to obtain the load-free geometry for determining the physiological level of prestress in the arterial wall. The previously developed optimization-based inverse algorithm was improved to obtain the load-free geometry and the wall prestress of an idealized tapered femoral artery of a dog under varying arterial wall properties...
April 1, 2017: Journal of Biomechanical Engineering
https://www.readbyqxmd.com/read/28231342/nonlinear-image-registration-with-bidirectional-metric-and-reciprocal-regularization
#5
Shihui Ying, Dan Li, Bin Xiao, Yaxin Peng, Shaoyi Du, Meifeng Xu
Nonlinear registration is an important technique to align two different images and widely applied in medical image analysis. In this paper, we develop a novel nonlinear registration framework based on the diffeomorphic demons, where a reciprocal regularizer is introduced to assume that the deformation between two images is an exact diffeomorphism. In detail, first, we adopt a bidirectional metric to improve the symmetry of the energy functional, whose variables are two reciprocal deformations. Secondly, we slack these two deformations into two independent variables and introduce a reciprocal regularizer to assure the deformations being the exact diffeomorphism...
2017: PloS One
https://www.readbyqxmd.com/read/28231327/functionally-focused-algorithmic-analysis-of-high-resolution-microarray-cgh-genomic-landscapes-demonstrates-comparable-genomic-copy-number-aberrations-in-msi-and-mss-sporadic-colorectal-cancer
#6
Hamad Ali, Milad S Bitar, Ashraf Al Madhoun, Makia Marafie, Fahd Al-Mulla
Array-based comparative genomic hybridization (aCGH) emerged as a powerful technology for studying copy number variations at higher resolution in many cancers including colorectal cancer. However, the lack of standardized systematic protocols including bioinformatic algorithms to obtain and analyze genomic data resulted in significant variation in the reported copy number aberration (CNA) data. Here, we present genomic aCGH data obtained using highly stringent and functionally relevant statistical algorithms from 116 well-defined microsatellites instable (MSI) and microsatellite stable (MSS) colorectal cancers...
2017: PloS One
https://www.readbyqxmd.com/read/28231322/clinical-evaluation-of-new-automatic-coronary-specific-best-cardiac-phase-selection-algorithm-for-single-beat-coronary-ct-angiography
#7
Hui Wang, Lei Xu, Zhanming Fan, Junfu Liang, Zixu Yan, Zhonghua Sun
The aim of this study was to evaluate the workflow efficiency of a new automatic coronary-specific reconstruction technique (Smart Phase, GE Healthcare-SP) for selection of the best cardiac phase with least coronary motion when compared with expert manual selection (MS) of best phase in patients with high heart rate. A total of 46 patients with heart rates above 75 bpm who underwent single beat coronary computed tomography angiography (CCTA) were enrolled in this study. CCTA of all subjects were performed on a 256-detector row CT scanner (Revolution CT, GE Healthcare, Waukesha, Wisconsin, US)...
2017: PloS One
https://www.readbyqxmd.com/read/28231282/mindboggling-morphometry-of-human-brains
#8
Arno Klein, Satrajit S Ghosh, Forrest S Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Noah Lee, Brian Rossa, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan
Mindboggle (http://mindboggle.info) is an open source brain morphometry platform that takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data containing label, feature, and shape information for further analysis. In this article, we document the software and demonstrate its use in studies of shape variation in healthy and diseased humans. The number of different shape measures and the size of the populations make this the largest and most detailed shape analysis of human brains ever conducted...
February 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28231171/application-of-hybrid-genetic-algorithm-routine-in-optimizing-food-and-bioengineering-processes
#9
Jaya Shankar Tumuluru, Richard McCulloch
Optimization is a crucial step in the analysis of experimental results. Deterministic methods only converge on local optimums and require exponentially more time as dimensionality increases. Stochastic algorithms are capable of efficiently searching the domain space; however convergence is not guaranteed. This article demonstrates the novelty of the hybrid genetic algorithm (HGA), which combines both stochastic and deterministic routines for improved optimization results. The new hybrid genetic algorithm developed is applied to the Ackley benchmark function as well as case studies in food, biofuel, and biotechnology processes...
November 9, 2016: Foods (Basel, Switzerland)
https://www.readbyqxmd.com/read/28230978/a-label-free-method-using-a-weighted-phase-algorithm-to-quantitate-nanoscale-interactions-between-molecules-on-dna-microarrays
#10
Qi Li, Rongxin Fu, Junqi Zhang, Ruliang Wang, Jiancheng Ye, Ning Xue, Xue Lin, Ya Su, Wupeng Gan, Ying Lu, Guoliang Huang
White light interference is used as a label-free method to detect nanoscale changes on surfaces. However, the signal-to-noise ratio of the white light interference method is very low, thus resulting in inaccurate results. In this paper, we report a corrected label-free method based on hyperspectral interferometry to overcome the shortcoming of the white light interference method. A platform based on hyperspectral interferometry was established, and a DNA hybridization microarray was constructed to quantitate thickness variation of molecules on a solid surface...
February 23, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28230848/computational-approaches-to-fmri-analysis
#11
Jonathan D Cohen, Nathaniel Daw, Barbara Engelhardt, Uri Hasson, Kai Li, Yael Niv, Kenneth A Norman, Jonathan Pillow, Peter J Ramadge, Nicholas B Turk-Browne, Theodore L Willke
Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within individual voxels or regions, averaged over trials or blocks and modeled separately in each participant. This approach mostly neglected the distributed nature of neural representations over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits of performing joint inference over multiple participants and the value of using predictive models to constrain analysis...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28230846/best-practices-in-data-analysis-and-sharing-in-neuroimaging-using-mri
#12
Thomas E Nichols, Samir Das, Simon B Eickhoff, Alan C Evans, Tristan Glatard, Michael Hanke, Nikolaus Kriegeskorte, Michael P Milham, Russell A Poldrack, Jean-Baptiste Poline, Erika Proal, Bertrand Thirion, David C Van Essen, Tonya White, B T Thomas Yeo
Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world's neuroimaging data.
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28230796/a-sensor-data-fusion-system-based-on-k-nearest-neighbor-pattern-classification-for-structural-health-monitoring-applications
#13
Jaime Vitola, Francesc Pozo, Diego A Tibaduiza, Maribel Anaya
Civil and military structures are susceptible and vulnerable to damage due to the environmental and operational conditions. Therefore, the implementation of technology to provide robust solutions in damage identification (by using signals acquired directly from the structure) is a requirement to reduce operational and maintenance costs. In this sense, the use of sensors permanently attached to the structures has demonstrated a great versatility and benefit since the inspection system can be automated. This automation is carried out with signal processing tasks with the aim of a pattern recognition analysis...
February 21, 2017: Sensors
https://www.readbyqxmd.com/read/28230745/toward-improving-electrocardiogram-ecg-biometric-verification-using-mobile-sensors-a-two-stage-classifier-approach
#14
Robin Tan, Marek Perkowski
Electrocardiogram (ECG) signals sensed from mobile devices pertain the potential for biometric identity recognition applicable in remote access control systems where enhanced data security is demanding. In this study, we propose a new algorithm that consists of a two-stage classifier combining random forest and wavelet distance measure through a probabilistic threshold schema, to improve the effectiveness and robustness of a biometric recognition system using ECG data acquired from a biosensor integrated into mobile devices...
February 20, 2017: Sensors
https://www.readbyqxmd.com/read/28230717/imaging-performance-of-a-handheld-ultrasound-system-with-real-time-computer-aided-detection-of-lumbar-spine-anatomy-a-feasibility-study
#15
Mohamed Tiouririne, Adam J Dixon, F William Mauldin, David Scalzo, Arun Krishnaraj
OBJECTIVES: The aim of this study was to evaluate the imaging performance of a handheld ultrasound system and the accuracy of an automated lumbar spine computer-aided detection (CAD) algorithm in the spines of human subjects. MATERIALS AND METHODS: This study was approved by the institutional review board of the University of Virginia. The authors designed a handheld ultrasound system with enhanced bone image quality and fully automated CAD of lumbar spine anatomy...
February 22, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28230618/biopharmaceuticals-reference-products-and-biosimilars-to-treat-inflammatory-diseases
#16
Ann Gils, Antonio Bertolotto, Denis Mulleman, Theodora Bejan-Angoulvant, Paul J Declerck
Biopharmaceuticals are primarily therapeutic proteins developed to perform specific functions by acting on the disease pathophysiology. Compared to low molecular chemically synthesized drugs, production of biopharmaceuticals is much more complex and routes of administration and pharmacokinetics differ. Biopharmaceuticals are blockbusters in the treatment of inflammatory diseases such as psoriasis, multiple sclerosis, rheumatic diseases, and inflammatory bowel diseases, and the introduction of these drugs has revolutionized treatment...
February 20, 2017: Therapeutic Drug Monitoring
https://www.readbyqxmd.com/read/28230572/automated-bone-screw-tightening-to-adaptive-levels-of-stripping-torque
#17
Karen J Reynolds, Aaron A Mohtar, Tammy M Cleek, Melissa K Ryan, Trevor C Hearn
OBJECTIVE: To use relationships between tightening parameters, related to bone quality, to develop an automated system that determines and controls the level of screw tightening. METHODS: An algorithm relating current at head contact (IHC) to current at construct failure (Imax) was developed. The algorithm was used to trigger cessation of screw insertion at a pre-defined tightening level, in real time, between head contact and maximum current. The ability of the device to stop at the pre-defined level was assessed...
February 20, 2017: Journal of Orthopaedic Trauma
https://www.readbyqxmd.com/read/28230563/implementation-of-an-early-mobility-pathway-in-neurointensive-care-unit-patients-with-external-ventricular-devices
#18
Megan Moyer, Bethany Young, Joseph Borst, William Pino, Marisa Hart, Jesse LoBreglio, Derek Zaleski, Isaira Leonor, David Kung, Michelle Smith, Eric Zager, M Sean Grady, Monisha Kumar
BACKGROUND: Patients with an external ventricular drain (EVD) may not be readily mobilized because of concerns of catheter dislodgment and/or inappropriate cerebrospinal fluid drainage. Delayed mobilization may result in longer hospital stays and an increased risk for complications related to immobility. We aimed to determine the safety, feasibility, and outcome of an EVD mobilization protocol in patients with subarachnoid hemorrhage (SAH). METHODS: A multidisciplinary group developed a formal algorithm for the mobilization of patients with SAH with EVDs...
February 23, 2017: Journal of Neuroscience Nursing: Journal of the American Association of Neuroscience Nurses
https://www.readbyqxmd.com/read/28230556/comparison-of-automated-methods-versus-the-american-burn-association-sepsis-definition-to-identify-sepsis-and-sepsis-with-organ-dysfunction-septic-shock-in-burn-injured-adults
#19
Megan A Rech, Michael J Mosier, Susan Zelisko, Giora Netzer, Elizabeth J Kovacs, Majid Afshar
To develop an algorithm to identify sepsis and sepsis with organ dysfunction/septic shock in burn-injured patients incorporating criteria from the American Burn Association sepsis definition that possesses good test characteristics compared with International Classification of Diseases, Ninth Revision-Clinical Modification (ICD-9) codes and an algorithm previously validated in nonburn-injured septic patients (Martin et al method). This was a retrospective cohort study of consecutive patients admitted to the burn intensive care unit between January 2008 and March 2015...
February 22, 2017: Journal of Burn Care & Research: Official Publication of the American Burn Association
https://www.readbyqxmd.com/read/28230539/polyenergetic-known-component-ct-reconstruction-with-unknown-material-compositions-and-unknown-x-ray-spectra
#20
Shiyu Xu, Ali Uneri, Akhil Khanna, Jeffrey Siewerdsen, Joseph Webster Stayman
Metal artifacts can cause substantial image quality issues in computed tomography. This is particularly true in interventional imaging where surgical tools or metal implants are in the field-of-view. Moreover, the region-of-interest is often near such devices which is exactly where image quality degradations are largest. Previous work on known-component reconstruction (KCR) has shown the incorporation of a physical model (e.g. shape, material composition, etc.) of the metal component into the reconstruction algorithm can significantly reduce artifacts even near the edge of a metal component...
February 23, 2017: Physics in Medicine and Biology
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