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https://www.readbyqxmd.com/read/29037014/deep-into-the-brain-artificial-intelligence-in-stroke-imaging
#1
REVIEW
Eun-Jae Lee, Yong-Hwan Kim, Namkug Kim, Dong-Wha Kang
Artificial intelligence (AI), a computer system aiming to mimic human intelligence, is gaining increasing interest and is being incorporated into many fields, including medicine. Stroke medicine is one such area of application of AI, for improving the accuracy of diagnosis and the quality of patient care. For stroke management, adequate analysis of stroke imaging is crucial. Recently, AI techniques have been applied to decipher the data from stroke imaging and have demonstrated some promising results. In the very near future, such AI techniques may play a pivotal role in determining the therapeutic methods and predicting the prognosis for stroke patients in an individualized manner...
September 2017: Journal of Stroke
https://www.readbyqxmd.com/read/29036973/-predictive-value-of-cardiac-magnetic-resonance-derived-parameters-on-the-improvement-of-left-ventricular-function-in-patients-with-acute-viral-myocarditis
#2
H C Ouyang, F C Ouyang, L L Mai, Y Y Chen, Y Z Hu, H X Chen, W S Li
Objective: To evaluate the predictive value of cardiac magnetic resonance (CMR)-derived parameters on the improvement of left ventricular function in patients with acute viral myocarditis. Methods: Forty patients, who referred for acute viral myocarditis in our hospital from September 2011 to September 2015, were prospectively enrolled in this study.All patients were examined by CMR during hospitalization for acute viral myocarditis (baseline) and after 12 months.The CMR sequences include: two dimension steady state free precession, 2D SSFP; triple inversion recovery, triple IR; early gadolinium enhancement; phase sensitive inversion recovery turbo field echo, PSIR TFE...
September 24, 2017: Zhonghua Xin Xue Guan Bing za Zhi
https://www.readbyqxmd.com/read/29036877/a-hybrid-cnn-feature-model-for-pulmonary-nodule-malignancy-risk-differentiation
#3
Huafeng Wang, Tingting Zhao, Lihong Connie Li, Haixia Pan, Wanquan Liu, Haoqi Gao, Fangfang Han, Yuehai Wang, YiFang Qi, Zhengrong Liang
The malignancy risk differentiation of pulmonary nodule is one of the most challenge tasks of computer-aided diagnosis (CADx). Most recently reported CADx methods or schemes based on texture and shape estimation have shown relatively satisfactory on differentiating the risk level of malignancy among the nodules detected in lung cancer screening. However, the existing CADx schemes tend to detect and analyze characteristics of pulmonary nodules from a statistical perspective according to local features only. Enlightened by the currently prevailing learning ability of convolutional neural network (CNN), which simulates human neural network for target recognition and our previously research on texture features, we present a hybrid model that takes into consideration of both global and local features for pulmonary nodule differentiation using the largest public database founded by the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI)...
October 10, 2017: Journal of X-ray Science and Technology
https://www.readbyqxmd.com/read/29036711/impacts-of-electroconvulsive-therapy-on-1-year-outcomes-in-patients-with-schizophrenia-a-controlled-population-based-mirror-image-study
#4
Hai-Ti Lin, Shi-Kai Liu, Ming H Hsieh, Yi-Ling Chien, I-Ming Chen, Shih-Cheng Liao, Hui-Ju Tsai, Chi-Shin Wu
Objectives: Despite the decline in the use of electroconvulsive therapy (ECT) in patients with schizophrenia, ECT augmentation is still recommended for those with poor response to standard pharmacological intervention. However, the effectiveness of augmentation of antipsychotics with ECT on long-term clinical outcomes needs to be verified in an expanded sample. Methods: Patients who were hospitalized for schizophrenia and received ECT for the first time during that hospitalization were identified from the total population health insurance database in Taiwan between 2002 and 2011...
September 23, 2017: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/29036692/clinical-utility-of-texture-analysis-of-18f-fdg-pet-ct-in-patients-with-stage-i-lung-cancer-treated-with-stereotactic-body-radiotherapy
#5
Kazuya Takeda, Kentaro Takanami, Yuko Shirata, Takaya Yamamoto, Noriyoshi Takahashi, Kengo Ito, Kei Takase, Keiichi Jingu
We evaluated the reproducibility and predictive value of texture parameters and existing parameters of 18F-FDG PET/CT images in Stage I non-small-cell lung cancer (NSCLC) patients treated with stereotactic body radiotherapy (SBRT). Twenty-six patients with Stage I NSCLC (T1-2N0M0) were retrospectively analyzed. All of the patients underwent an 18F-FDG PET/CT scan before treatment and were treated with SBRT. Each tumor was delineated using PET Edge (MIM Software Inc., Cleveland, OH), and texture parameters were calculated using open-source code CGITA...
September 21, 2017: Journal of Radiation Research
https://www.readbyqxmd.com/read/29036689/high-dose-fast-neutron-dosimetry-using-padc-plastic-nuclear-track-detectors-and-grey-level-analysis
#6
A Stabilini, K Meier, E G Yukihara
The objective of this work is to demonstrate the possibility of performing fast neutron dosimetry up to 5 Sv using optical absorbance of polyallyl diglycol carbonate (PADC) detectors, obtained through grey level analysis of PADC images acquired with a commercial track-counting dosimetry system, and estimate the uncertainties involved. PADCs were irradiated with doses from 100 mSv to 5 Sv (252Cf source) and etched. PADC images were acquired using the TASLIMAGE™ Neutron Dosimetry System (Track Analysis Systems Ltd...
September 28, 2017: Radiation Protection Dosimetry
https://www.readbyqxmd.com/read/29036562/nandb-number-and-brightness-in-r-with-a-novel-automatic-detrending-algorithm
#7
Rory Nolan, Luis A J Alvarez, Jonathan Elegheert, Maro Iliopoulou, G Maria Jakobsdottir, Marina Rodriguez-Muñoz, A Radu Aricescu, Sergi Padilla-Parra
Summary: An R package for performing number and brightness image analysis, with the implementation of a novel automatic detrending algorithm. Availability and implementation: Available at https://github.com/rorynolan/nandb for all platforms. Contact: rnolan@well.ox.ac.uk or spadilla@well.ox.ac.uk. Supplementary information: Supplementary data are available at Bioinformatics online.
July 11, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29036528/prediction-of-pathologic-responders-to-neoadjuvant-chemoradiotherapy-by-diffusion-weighted-magnetic-resonance-imaging-in-locally-advanced-esophageal-squamous-cell-carcinoma-a-prospective-study
#8
Q-W Li, B Qiu, B Wang, D-L Wang, S-H Yin, H Yang, J-L Liu, J-H Fu, M-Z Liu, C-M Xie, H Liu
This study aims to investigate the role of diffusion-weighted magnetic resonance imaging (DW-MRI) in ESCC patients receiving neoadjuvant concurrent chemoradiotherapy (CCRT), and the efficacy of apparent diffusion coefficient (ADC) values in predicting pathologic response to neoadjuvant CCRT. Twenty-eight locally advanced ESCC patients treated with neoadjuvant CCRT followed by radical resection were prospectively enrolled. DW-MRI was recommended to be performed within 2 weeks before and 4-6 weeks after neoadjuvant CCRT...
September 27, 2017: Diseases of the Esophagus: Official Journal of the International Society for Diseases of the Esophagus
https://www.readbyqxmd.com/read/29036412/radiomic-subtyping-improves-disease-stratification-beyond-key-molecular-clinical-and-standard-imaging-characteristics-in-patients-with-glioblastoma
#9
Philipp Kickingereder, Ulf Neuberger, David Bonekamp, Paula L Piechotta, Michael Götz, Antje Wick, Martin Sill, Annekathrin Kratz, Russell T Shinohara, David T W Jones, Alexander Radbruch, John Muschelli, Andreas Unterberg, Jürgen Debus, Heinz-Peter Schlemmer, Christel Herold-Mende, Stefan Pfister, Andreas von Deimling, Wolfgang Wick, David Capper, Klaus H Maier-Hein, Martin Bendszus
Background: To analyze the potential of radiomics for disease stratification beyond key molecular, clinical and standard imaging features in patients with glioblastoma. Methods: Quantitative imaging features (n=1043) were extracted from the multiparametric MRI of 181 patients with newly-diagnosed glioblastoma prior to standard-of-care treatment (allocated to a discovery and validation set, 2:1 ratio). A subset of 386/1043 features were identified as reproducible (in an independent MRI-test-retest cohort) and selected for analysis...
September 28, 2017: Neuro-oncology
https://www.readbyqxmd.com/read/29036284/airway-volume-analysis-is-there-a-correlation-between-two-and-three-dimensions
#10
Luize Severo Martins, Gabriela Salatino Liedke, Luis Dias da Silveira Heraldo, Priscila Fernanda da Silveira, Nadia Assein Arus, Edwin M Ongkosuwito, Mariana Boessio Vizzotto
Objectives: No consensus exists on the assessment of airway in CBCT scans. Two-dimensional measures remain the standard in the cephalometric analysis. This research aimed to evaluate linear and area measurements in two-dimensional views from specific airway regions of interest and compare these to the correspondent volume in CBCT exams. Materials and Methods: 250-selected CBCT scans were retrospectively analyzed. A trained and calibrated examiner performed the linear, area and volume measurements in specific sites for nasal cavity, nasopharynx and oropharynx compartments...
September 23, 2017: European Journal of Orthodontics
https://www.readbyqxmd.com/read/29036251/an-adhesive-patch-based-skin-biopsy-device-for-molecular-diagnostics-and-skin-microbiome-studies
#11
Zuxu Yao, Ronald Moy, Talisha Allen, Burkhard Jansen
INTRODUCTION: A number of diagnoses in clinical dermatology are currently histopathologically confirmed and this image recognition-based confirmation generally requires surgical biopsies. The increasing ability of molecular pathology to corroborate or correct a clinical diagnosis based on objective gene expression, mutation analysis, or molecular microbiome data is on the horizon and would be further supported by a tool or procedure to collect samples non-invasively. This study characterizes such a tool in form of a 'bladeless' adhesive patch-based skin biopsy device...
October 1, 2017: Journal of Drugs in Dermatology: JDD
https://www.readbyqxmd.com/read/29036119/aberration-analysis-of-aotf-based-spectral-imaging-systems
#12
Alexander Machikhin, Vladislav Batshev, Vitold Pozhar
Image aberrations caused by acousto-optic (AO) anisotropic diffraction in uniaxial crystals are discussed. For their analysis, we propose a simplified ray-tracing model of an AO crystal cell (AOC). With this approach, one can assign any configuration of AO interaction, any material and geometry of the crystal, and then estimate all conventional ray aberrations, such as spherical, coma, astigmatism, distortion, etc. The optimization procedure is demonstrated by the aberration analysis of three principal spectral imaging schemes based on AO tunable filters (AOTFs)...
July 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/29036114/stochastic-calculus-analysis-of-optical-time-of-flight-range-imaging-and-estimation-of-radial-motion
#13
Lee Streeter
Time-of-flight range imaging is analyzed using stochastic calculus. Through a series of interpretations and simplifications, the stochastic model leads to two methods for estimating linear radial velocity: maximum likelihood estimation on the transition probability distribution between measurements, and a new method based on analyzing the measured correlation waveform and its first derivative. The methods are tested in a simulated motion experiment from (-40)-(+40)  m/s, with data from a camera imaging an object on a translation stage...
July 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/29036107/infrared-and-visible-image-fusion-via-saliency-analysis-and-local-edge-preserving-multi-scale-decomposition
#14
Xiaoye Zhang, Yong Ma, Fan Fan, Ying Zhang, Jun Huang
To retain the details of a visible image with a discernible target area, we propose a multi-scale decomposition image fusion method based on a local edge-preserving (LEP) filter and saliency detection. We first use a LEP filter to decompose the infrared and visible images. Then, a modified saliency detection method is utilized to detect the salient target areas of an infrared image, which determine the base layer's weights of fusion strategy. Finally, each layer is reconstructed to obtain a visually pleasing fused image...
August 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/29036090/optimal-configuration-of-static-mueller-imagers-for-target-detection
#15
François Goudail, Matthieu Boffety, Stéphane Roussel
We investigate the target detection performance of static Mueller imagers that implement a fixed number of illumination and analysis polarization states. Using a maximin approach, we demonstrate that the optimal sets of measurement vectors consist in regular tetrahedra on the Poincaré sphere and that, in this case, the obtained target/background contrast has a very simple expression. We then derive a universal lower bound on the contrast ratio between the best channel of a static imager and a fully adaptive one, and in a special case of practical interest, we demonstrate that this ratio is bounded and always larger than 1/9...
June 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/29036074/airplane-wing-deformation-and-flight-flutter-detection-method-by-using-three-dimensional-speckle-image-correlation-technology
#16
Jun Wu, Zhijing Yu, Tao Wang, Jingchang Zhuge, Yue Ji, Bin Xue
Airplane wing deformation is an important element of aerodynamic characteristics, structure design, and fatigue analysis for aircraft manufacturing, as well as a main test content of certification regarding flutter for airplanes. This paper presents a novel real-time detection method for wing deformation and flight flutter detection by using three-dimensional speckle image correlation technology. Speckle patterns whose positions are determined through the vibration characteristic of the aircraft are coated on the wing; then the speckle patterns are imaged by CCD cameras which are mounted inside the aircraft cabin...
June 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/29036068/critical-object-recognition-in-millimeter-wave-images-with-robustness-to-rotation-and-scale
#17
Hoda Mohammadzade, Benyamin Ghojogh, Sina Faezi, Mahdi Shabany
Locating critical objects is crucial in various security applications and industries. For example, in security applications, such as in airports, these objects might be hidden or covered under shields or secret sheaths. Millimeter-wave images can be utilized to discover and recognize the critical objects out of the hidden cases without any health risk due to their non-ionizing features. However, millimeter-wave images usually have waves in and around the detected objects, making object recognition difficult...
June 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/29036054/automated-angular-and-translational-tomographic-alignment-and-application-to-phase-contrast-imaging
#18
T Ramos, J S Jørgensen, J W Andreasen
X-ray computerized tomography (CT) is a 3D imaging technique that makes use of x-ray illumination and image reconstruction techniques to reproduce the internal cross-sections of a sample. Tomographic projection data usually require an initial relative alignment or knowledge of the exact object position and orientation with respect to the detector. As tomographic imaging reaches increasingly better resolution, thermal drifts, mechanical instabilities, and equipment limitations are becoming the main dominant factors contributing to sample positioning uncertainties that will further introduce reconstruction artifacts and limit the attained resolution in the final tomographic reconstruction...
October 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/29035928/what-did-we-learn-from-omics-studies-in-osteoarthritis
#19
Cristina Ruiz-Romero, Ignacio Rego-Perez, Francisco J Blanco
PURPOSE OF REVIEW: 'Omics' technologies developed for the massive analysis of the major biologically relevant molecules (genes, proteins, metabolites) have been applied to the study of osteoarthritis (OA) for more than a decade. RECENT FINDINGS: 'Omics' studies have undoubtedly contributed to increase the knowledge on pathogenic processes related with OA and have provided hundreds to thousands of molecules that might have a putative biomarker utility for this disease...
October 13, 2017: Current Opinion in Rheumatology
https://www.readbyqxmd.com/read/29035648/treatment-of-mandibular-osteomyelitis-in-two-red-necked-wallabies-macropus-rufogriseus-by-means-of-intensive-long-term-parenteral-drug-administration-and-serial-computed-tomographic-monitoring
#20
Lauren P Kane, Jennifer N Langan, Michael J Adkesson, Sathya K Chinnadurai, Benjamin N Nevitt, Randi Drees
CASE DESCRIPTION 2 female red-necked wallabies (Macropus rufogriseus) were evaluated because of sudden-onset mandibular swelling, ptyalism, and hyporexia. CLINICAL FINDINGS Physical examination revealed a mandibular swelling with a fluctuant center in both wallabies. Hematologic analysis revealed leukocytosis with a mature neutrophilia and monocytosis in one wallaby (case 1) and a slight neutrophilia, hyperglobulinemia, and high serum alanine aminotransferase activity in the other (case 2). Cytologic examination of the swelling revealed a uniform population of gram-negative rods in case 1 and neutrophilic inflammation in case 2...
November 1, 2017: Journal of the American Veterinary Medical Association
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