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https://www.readbyqxmd.com/read/28110476/three-dimensional-texture-features-from-intensity-and-high-order-derivative-maps-for-the-discrimination-between-bladder-tumors-and-wall-tissues-via-mri
#1
Xiaopan Xu, Xi Zhang, Qiang Tian, Guopeng Zhang, Yang Liu, Guangbin Cui, Jiang Meng, Yuxia Wu, Tianshuai Liu, Zengyue Yang, Hongbing Lu
PURPOSE: This study aims to determine the three-dimensional (3D) texture features extracted from intensity and high-order derivative maps that could reflect textural differences between bladder tumors and wall tissues, and propose a noninvasive, image-based strategy for bladder tumor differentiation preoperatively. METHODS: A total of 62 cancerous and 62 wall volumes of interest (VOI) were extracted from T2-weighted MRI datasets of 62 patients with pathologically confirmed bladder cancer...
January 21, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28110253/synthesis-of-silver-nanoparticles-ag-nps-for-anticancer-activities-mcf-7-breast-and-a549-lung-cell-lines-of-the-crude-extract-of-syzygium-aromaticum
#2
K Venugopal, H A Rather, K Rajagopal, M P Shanthi, K Sheriff, M Illiyas, R A Rather, E Manikandan, S Uvarajan, M Bhaskar, M Maaza
In the present report, silver nanoparticles were synthesized using Piper nigrum extract for in vitro cytotoxicity efficacy against MCF-7 and HEP-2 cells. The silver nanoparticles (AgNPs) were formed within 20min and after preliminarily confirmation by UV-Visible spectroscopy (strong peak observed at ~441nm), they were characterized by using FT-IR and HR-TEM. The TEM images show spherical shape of biosynthesized AgNPs with particle size in the range 5-40nm while as compositional analysis were observed by EDAX...
December 20, 2016: Journal of Photochemistry and Photobiology. B, Biology
https://www.readbyqxmd.com/read/28110106/fast-learning-method-for-convolutional-neural-networks-using-extreme-learning-machine-and-its-application-to-lane-detection
#3
Jihun Kim, Jonghong Kim, Gil-Jin Jang, Minho Lee
Deep learning has received significant attention recently as a promising solution to many problems in the area of artificial intelligence. Among several deep learning architectures, convolutional neural networks (CNNs) demonstrate superior performance when compared to other machine learning methods in the applications of object detection and recognition. We use a CNN for image enhancement and the detection of driving lanes on motorways. In general, the process of lane detection consists of edge extraction and line detection...
December 10, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28109572/subcarinal-lymph-nodes-should-be-dissected-in-all-lobectomies-for-non-small-cell-lung-cancer-regardless-of-primary-tumor-location
#4
Jens Eckardt, Erik Jakobsen, Peter B Licht
BACKGROUND: Mediastinal staging is of paramount importance for planning of treatment in non-small cell lung cancer (NSCLC). Single institution reports recently claimed that subcarinal lymph node dissection during resection of upper lobe NSCLC could be spared. We used a complete national lung cancer registry to investigate patterns of unsuspected mediastinal lymph node involvement after lobectomy. METHODS: During an 11-year period (2004 to 2014) 5,577 consecutive patients who underwent operations for NSCLC were investigated for unsuspected mediastinal lymph node involvement (N2 disease) discovered at final histopathology...
January 18, 2017: Annals of Thoracic Surgery
https://www.readbyqxmd.com/read/28109567/evaluation-of-residual-abdominal-tumour-motion-in-carbon-ion-gated-treatments-through-respiratory-motion-modelling
#5
Giorgia Meschini, Matteo Seregni, Andrea Pella, Mario Ciocca, Piero Fossati, Francesca Valvo, Marco Riboldi, Guido Baroni
At the Italian National Centre for Oncologic Hadrontherapy (CNAO) patients with upper-abdominal tumours are being treated with carbon ion therapy, adopting the respiratory gating technique in combination with layered rescanning and abdominal compression to mitigate organ motion. Since online imaging of the irradiated volume is not feasible, this study proposes a modelling approach for the estimation of residual motion of the target within the gating window. The model extracts a priori respiratory motion information from the planning 4DCT using deformable image registration (DIR), then combines such information with the external surrogate signal recorded during dose delivery...
January 18, 2017: Physica Medica: PM
https://www.readbyqxmd.com/read/28109242/local-spin-dynamics-of-iron-oxide-magnetic-nanoparticles-dispersed-in-different-solvents-with-variable-size-and-shape-a-1-h-nmr-study
#6
M Basini, T Orlando, P Arosio, M F Casula, D Espa, S Murgia, C Sangregorio, C Innocenti, A Lascialfari
Colloidal magnetic nanoparticles (MNPs) based on a nearly monodisperse iron oxide core and capped by oleic acid have been used as model systems for investigating the superparamagnetic spin dynamics by means of magnetometry measurements and nuclear magnetic resonance ((1)H NMR) relaxometry. The key magnetic properties (saturation magnetization, coercive field, and frequency dependent "blocking" temperature) of MNPs with different core size (3.5 nm, 8.5 nm, and 17.5 nm), shape (spherical and cubic), and dispersant (hexane and water-based formulation) have been determined...
January 21, 2017: Journal of Chemical Physics
https://www.readbyqxmd.com/read/28108394/unsmoothed-functional-mri-of-the-human-amygdala-and-bed-nucleus-of-the-stria-terminalis-during-processing-of-emotional-faces
#7
Ronald Sladky, Nicole Geissberger, Daniela M Pfabigan, Christoph Kraus, Martin Tik, Michael Woletz, Katharina Paul, Thomas Vanicek, Bastian Auer, Georg S Kranz, Claus Lamm, Rupert Lanzenberger, Christian Windischberger
Functional neuroimaging of the human amygdala has been of great interest to uncover the neural underpinnings of emotions, mood, motivation, social cognition, and decision making, as well as their dysfunction in psychiatric disorders. Yet, several factors limit in vivo imaging of amygdalar function, most importantly its location deep within the temporal lobe adjacent to air-filled cavities that cause magnetic field inhomogeneities entailing signal dropouts. Additionally, the amygdala and the extended amygdalar region consist of several substructures, which have been assigned different functions and have important implications for functional and effective connectivity studies...
January 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28108373/left-ventricle-segmentation-via-two-layer-level-sets-with-circular-shape-constraint
#8
Cong Yang, Weiguo Wu, Yuanqi Su, Shaoxiang Zhang
This paper proposes a circular shape constraint and a novel two-layer level set method for the segmentation of the left ventricle (LV) from short-axis magnetic resonance images without training any shape models. Since the shape of LV throughout the apex-base axis is close to a ring shape, we propose a circle fitting term in the level set framework to detect the endocardium. The circle fitting term imposes a penalty on the evolving contour from its fitting circle, and thereby handles quite well with issues in LV segmentation, especially the presence of outflow track in basal slices and the intensity overlap between TPM and the myocardium...
January 17, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28108257/working-memory-load-dependent-spatio-temporal-activity-of-single-trial-p3-response-detected-with-an-adaptive-wavelet-denoiser
#9
Qiushi Zhang, Xueqian Yang, Li Yao, Xiaojie Zhao
Working memory (WM) refers to the holding and manipulation of information during cognitive tasks. Its underlying neural mechanisms have been explored through both functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). Trial-by-trial coupling of simultaneously collected EEG and fMRI signals has become an important and promising approach to study the spatio-temporal dynamics of such cognitive processes. Previous studies have demonstrated a modulation effect of the WM load on both the BOLD response in certain brain areas and the amplitude of P3...
January 17, 2017: Neuroscience
https://www.readbyqxmd.com/read/28107987/generation-of-biostable-l-aptamers-against-achiral-targets-by-chiral-inversion-of-existing-d-aptamers
#10
Huapei Chen, Sitao Xie, Hao Liang, Cuichen Wu, Liang Cui, Shuang-Yan Huan, Xiaobing Zhang
In this paper, based on reciprocal chiral substrate specificity, taking achiral molecules, ethanolamine (EA) and malachite green (MG) as two model targets, biostable L- DNA aptamers and L-RNA aptamers were generated respectively by chiral inversion of existing D-aptamers. In the detection of EA with L-DNA aptamer-based sensors, the feasibility of our strategy was confirmed, while in the detection of MG with L-RNA aptamers, linear calibration curves were obtained in the range from 0.1 to 5µm with the detection limit of 0...
March 1, 2017: Talanta
https://www.readbyqxmd.com/read/28107912/maldi-ltq-orbitrap-mass-spectrometry-imaging-for-lipidomic-analysis-in-kidney-under-cisplatin-chemotherapy
#11
Estefanía Moreno-Gordaliza, Diego Esteban-Fernández, Alberto Lázaro, Blanca Humanes, Sarah Aboulmagd, Alberto Tejedor, Michael W Linscheid, M Milagros Gómez-Gómez
Imaging techniques for mapping molecular distributions in tissue sections can reveal valuable information on biomolecules involved in relevant biochemical processes. A method has been developed for comprehensive, reproducible and sensitive lipid imaging by matrix-assisted laser/desorption ionization-LTQ-Orbitrap mass spectrometry in kidney sections, showing the benefits of exact mass determination. Matrix deposition parameters for positive and negative lipid ion imaging using different matrices such as 2,5-dihydroxybenzoic acid (DHB), 9-aminoacridine (9-AA) or α-cyano-4-hydroxycinnamic acid (CHCA) have been optimized for the broadest detection and identification of renal lipids...
March 1, 2017: Talanta
https://www.readbyqxmd.com/read/28107628/constructing-fast-carrier-tracks-into-flexible-perovskite-photodetectors-to-greatly-improve-responsivity
#12
Xiaoming Li, Dejian Yu, Jun Chen, Yue Wang, Fei Cao, Yi Wei, Ye Wu, Lin Wang, Ying Zhu, Zhiguo Sun, Jianping Ji, Yalong Shen, Handong Sun, Haibo Zeng
Intrinsically high mobility and large absorption coefficient endow inorganic halide perovskites (IHPs) with great promise for high-performance photodetectors (PDs), which, however, are being hindered by the low carrier extraction and transport efficiency of the solution assembled films. Here, we report on a general strategy to enhance the film conductivity of perovskites that conductive nanonets were constructed with carbon nanotubes (CNTs) to provide fast carriers tracks. As a result, the CsPbBr3 nanosheet/CNT composite films exhibit high conductivity and the advantages are demonstrated by the high performances of corresponding planar PDs...
January 20, 2017: ACS Nano
https://www.readbyqxmd.com/read/28107548/mri-based-prostate-cancer-detection-with-high-level-representation-and-hierarchical-classification
#13
Yulian Zhu, Li Wang, Mingxia Liu, Chunjun Qian, Ambereen Yousuf, Aytekin Oto, Dinggang Shen
PURPOSE: Extracting the high-level feature representation by using deep neural networks for detection of prostate cancer, and then based on high-level feature representation for constructing hierarchical classification to refine the detection results. METHODS: High-level feature representation is first learned by a deep learning network, where multi-parametric MR images are used as the input data. Then, based on the learned high-level features, a hierarchical classification method is developed, where multiple random forest classifiers are iteratively constructed to refine the detection results of prostate cancer...
January 20, 2017: Medical Physics
https://www.readbyqxmd.com/read/28107346/decreased-functional-connectivity-of-insular-cortex-in-drug-na%C3%A3-ve-first-episode-schizophrenia-in-relation-to-symptom-severity
#14
Lijuan Pang, David Kennedy, Qinling Wei, Luxian Lv, Jinsong Gao, Hong Li, Meina Quan, Xue Li, Yongfeng Yang, Xiaoduo Fan, Xueqin Song
BACKGROUND: This study was to examine the insular cortical functional connectivity in drug naïve patients with first episode schizophrenia and to explore the relationship between the connectivity and the severity of clinical symptoms. METHODS: Thirty-seven drug naïve patients with schizophrenia and 25 healthy controls were enrolled in this study. A seed-based approach was used to analyze the resting-state functional imaging data. Insular cortical connectivity maps were bilaterally extracted for group comparison and validated by voxel-based morphometry (VBM) analysis...
2017: PloS One
https://www.readbyqxmd.com/read/28107088/the-national-eye-survey-of-trinidad-and-tobago-nestt-rationale-objectives-and-methodology
#15
Tasanee Braithwaite, Neville Q Verlander, Debra Bartholomew, Petra Bridgemohan, Kevin McNally, Allana Roach, Subash Sharma, Deo Singh, Konrad Pesudovs, Surujpal Teelucksingh, Christine Carrington, Samuel Ramsewak, Rupert Bourne
PURPOSE: This paper describes the rationale, study design and procedures of the National Eye Survey of Trinidad and Tobago (NESTT). The main objective of this survey is to obtain prevalence estimates of vision impairment and blindness for planning and policy development. METHODS: A population-based, cross-sectional survey was undertaken using random multistage cluster sampling, with probability-proportionate-to-size methods. Eligible participants aged 5 years and older were sampled from the non-institutional population in each of 120 cluster segments...
January 20, 2017: Ophthalmic Epidemiology
https://www.readbyqxmd.com/read/28106716/tracking-and-classification-of-in-air-hand-gesture-based-on-thermal-guided-joint-filter
#16
Seongwan Kim, Yuseok Ban, Sangyoun Lee
The research on hand gestures has attracted many image processing-related studies, as it intuitively conveys the intention of a human as it pertains to motional meaning. Various sensors have been used to exploit the advantages of different modalities for the extraction of important information conveyed by the hand gesture of a user. Although many works have focused on learning the benefits of thermal information from thermal cameras, most have focused on face recognition or human body detection, rather than hand gesture recognition...
January 17, 2017: Sensors
https://www.readbyqxmd.com/read/28106615/metal-artifact-reduction-in-x-ray-computed-tomography-using-computer-aided-design-data-of-implants-as-prior-information
#17
Veikko Ruth, Daniel Kolditz, Christian Steiding, Willi A Kalender
OBJECTIVES: The performance of metal artifact reduction (MAR) methods in x-ray computed tomography (CT) suffers from incorrect identification of metallic implants in the artifact-affected volumetric images. The aim of this study was to investigate potential improvements of state-of-the-art MAR methods by using prior information on geometry and material of the implant. MATERIALS AND METHODS: The influence of a novel prior knowledge-based segmentation (PS) compared with threshold-based segmentation (TS) on 2 MAR methods (linear interpolation [LI] and normalized-MAR [NORMAR]) was investigated...
January 18, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28105470/bladder-cancer-segmentation-in-ct-for-treatment-response-assessment-application-of-deep-learning-convolution-neural-network-a-pilot-study
#18
COMMENT
Kenny H Cha, Lubomir M Hadjiiski, Ravi K Samala, Heang-Ping Chan, Richard H Cohan, Elaine M Caoili, Chintana Paramagul, Ajjai Alva, Alon Z Weizer
Assessing the response of bladder cancer to neoadjuvant chemotherapy is crucial for reducing morbidity and increasing quality of life of patients. Changes in tumor volume during treatment is generally used to predict treatment outcome. We are developing a method for bladder cancer segmentation in CT using a pilot data set of 62 cases. 65 000 regions of interests were extracted from pre-treatment CT images to train a deep-learning convolution neural network (DL-CNN) for tumor boundary detection using leave-one-case-out cross-validation...
December 2016: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28105152/evaluation-by-quantitative-image-analysis-of-anticancer-drug-activity-on-multicellular-spheroids-grown-in-3d-matrices
#19
Aurélie Gomes, Adrien Russo, Guillaume Vidal, Elise Demange, Pauline Pannetier, Zied Souguir, Jean-Michel Lagarde, Bernard Ducommun, Valérie Lobjois
Pharmacological evaluation of anticancer drugs using 3D in vitro models provides invaluable information for predicting in vivo activity. Artificial matrices are currently available that scale up and increase the power of such 3D models. The aim of the present study was to propose an efficient and robust imaging and analysis pipeline to assess with quantitative parameters the efficacy of a particular cytotoxic drug. HCT116 colorectal adenocarcinoma tumor cell multispheres were grown in a 3D physiological hyaluronic acid matrix...
December 2016: Oncology Letters
https://www.readbyqxmd.com/read/28103554/robust-neighborhood-preserving-projection-by-nuclear-l2-1-norm-regularization-for-image-feature-extraction
#20
Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan
We propose two nuclear- and L2,1-norm regularized two-dimensional neighborhood preserving projection (2DNPP) methods for extracting representative 2D image features. 2DNPP extracts neighborhood preserving features via minimizing the Frobenius norm based reconstruction error that is very sensitive to noise and outliers in data. To make the distance metric more reliable and robust, and encode the neighborhood reconstruction error more accurately, we minimize the nuclear- and L2,1-norm based reconstruction error respectively and measure it over each image...
January 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
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