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Image Texture Analysis

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https://www.readbyqxmd.com/read/28630643/improved-classification-accuracy-of-powdery-mildew-infection-levels-of-wine-grapes-by-spatial-spectral-analysis-of-hyperspectral-images
#1
Uwe Knauer, Andrea Matros, Tijana Petrovic, Timothy Zanker, Eileen S Scott, Udo Seiffert
BACKGROUND: Hyperspectral imaging is an emerging means of assessing plant vitality, stress parameters, nutrition status, and diseases. Extraction of target values from the high-dimensional datasets either relies on pixel-wise processing of the full spectral information, appropriate selection of individual bands, or calculation of spectral indices. Limitations of such approaches are reduced classification accuracy, reduced robustness due to spatial variation of the spectral information across the surface of the objects measured as well as a loss of information intrinsic to band selection and use of spectral indices...
2017: Plant Methods
https://www.readbyqxmd.com/read/28629416/ct-texture-features-are-associated-with-overall-survival-in-pancreatic-ductal-adenocarcinoma-a-quantitative-analysis
#2
Armin Eilaghi, Sameer Baig, Yucheng Zhang, Junjie Zhang, Paul Karanicolas, Steven Gallinger, Farzad Khalvati, Masoom A Haider
BACKGROUND: To assess whether CT-derived texture features predict survival in patients undergoing resection for pancreatic ductal adenocarcinoma (PDAC). METHODS: Thirty patients with pre-operative CT from 2007 to 2012 for PDAC were included. Tumor size and five texture features namely uniformity, entropy, dissimilarity, correlation, and inverse difference normalized were calculated. Mann-Whitney rank sum test was used to compare tumor with normal pancreas. Receiver operating characteristics (ROC) analysis, Cox regression and Kaplan-Meier tests were used to assess association of texture features with overall survival (OS)...
June 19, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28624924/evaluation-of-hepatic-fibrosis-a-review-from-the-society-of-abdominal-radiology-disease-focus-panel
#3
REVIEW
Jeanne M Horowitz, Sudhakar K Venkatesh, Richard L Ehman, Kartik Jhaveri, Patrick Kamath, Michael A Ohliger, Anthony E Samir, Alvin C Silva, Bachir Taouli, Michael S Torbenson, Michael L Wells, Benjamin Yeh, Frank H Miller
Hepatic fibrosis is potentially reversible; however early diagnosis is necessary for treatment in order to halt progression to cirrhosis and development of complications including portal hypertension and hepatocellular carcinoma. Morphologic signs of cirrhosis on ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI) alone are unreliable and are seen with more advanced disease. Newer imaging techniques to diagnose liver fibrosis are reliable and accurate, and include magnetic resonance elastography and US elastography (one-dimensional transient elastography and point shear wave elastography or acoustic radiation force impulse imaging)...
June 17, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/28624340/effects-of-teriparatide-denosumab-or-both-on-spine-trabecular-microarchitecture-in-data-switch-a-randomized-controlled-trial
#4
Joy N Tsai, Linda A Jiang, Hang Lee, Didier Hans, Benjamin Z Leder
In postmenopausal women, 2 yr of combined teriparatide and denosumab increases bone mineral density more than either drug alone, and switching from either combination or teriparatide to denosumab for an additional 2 yr further increases bone mineral density. Conversely, switching from denosumab to teriparatide results in transient bone loss. The effects of these interventions on spine microarchitecture are unknown. In the DATA and DATA-Switch studies, 94 postmenopausal osteoporotic women were randomized to receive 24 mo of teriparatide (20 µg daily), denosumab (60 mg every 6 mo), or both...
June 14, 2017: Journal of Clinical Densitometry
https://www.readbyqxmd.com/read/28624025/quantitative-computed-tomography-texture-analysis-for-estimating-histological-subtypes-of-thymic-epithelial-tumors
#5
Koichiro Yasaka, Hiroyuki Akai, Masanori Nojima, Aya Shinozaki-Ushiku, Masashi Fukayama, Jun Nakajima, Kuni Ohtomo, Shigeru Kiryu
OBJECTIVES: To investigate whether high-risk thymic epithelial tumor (TET) (HTET) can be differentiated from low-risk TET (LTET) using computed tomography (CT) quantitative texture analysis. MATERIALS AND METHODS: The data of 39 patients (mean age, 58.6±14.1 years) (39 unenhanced CT (UECT) and 33 contrast-enhanced CT (CECT)) who underwent thymectomy for TET were retrospectively analyzed. A region of interest was placed to include the entire TET within the slice at its maximum diameter...
July 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28624024/differentiation-between-acute-and-chronic-myocardial-infarction-by-means-of-texture-analysis-of-late-gadolinium-enhancement-and-cine-cardiac-magnetic-resonance-imaging
#6
Andrés Larroza, Andrzej Materka, María P López-Lereu, José V Monmeneu, Vicente Bodí, David Moratal
The purpose of this study was to differentiate acute from chronic myocardial infarction using machine learning techniques and texture features extracted from cardiac magnetic resonance imaging (MRI). The study group comprised 22 cases with acute myocardial infarction (AMI) and 22 cases with chronic myocardial infarction (CMI). Cine and late gadolinium enhancement (LGE) MRI were analyzed independently to differentiate AMI from CMI. A total of 279 texture features were extracted from predefined regions of interest (ROIs): the infarcted area on LGE MRI, and the entire myocardium on cine MRI...
July 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28623478/feature-fusion-for-lung-nodule-classification
#7
Amal A Farag, Asem Ali, Salwa Elshazly, Aly A Farag
PURPOSE: This article examines feature-based nodule description for the purpose of nodule classification in chest computed tomography scanning. METHODS: Three features based on (i) Gabor filter, (ii) multi-resolution local binary pattern (LBP) texture features and (iii) signed distance fused with LBP which generates a combinational shape and texture feature are utilized to provide feature descriptors of malignant and benign nodules and non-nodule regions of interest...
June 16, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28622412/textural-analysis-of-early-phase-spatiotemporal-changes-in-contrast-enhancement-of-breast-lesions-imaged-with-an-ultrafast-dce-mri-protocol
#8
Jana Milenković, Mehmet Ufuk Dalmış, Janez Žgajnar, Bram Platel
PURPOSE: New ultrafast view-sharing sequences have enabled breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to be performed at high spatial and temporal resolution. The aim of this study is to evaluate the diagnostic potential of textural features that quantify the spatiotemporal changes of the contrast-agent uptake in computer-aided diagnosis of malignant and benign breast lesions imaged with high spatial and temporal resolution DCE-MRI. METHOD: The proposed approach is based on the textural analysis quantifying the spatial variation of six dynamic features of the early-phase contrast-agent uptake of a lesion's largest cross-sectional area...
June 16, 2017: Medical Physics
https://www.readbyqxmd.com/read/28613168/convolution-neural-networks-with-two-pathways-for-image-style-recognition
#9
Tiancheng Sun, Yulong Wang, Jian Yang, Xiaolin Hu
Automatic recognition of an image's style is important for many applications including artwork analysis, photo organization and image retrieval. Traditional convolution neural network (CNN) approach uses only object features for image style recognition. This approach may not be optimal because the same object in two images may have different styles. We propose a CNN architecture with two pathways extracting object features and texture features, respectively. The object pathway represents the standard CNN architecture and the texture pathway intermixes the object pathway by outputting the gram matrices of intermediate features in the object pathway...
June 9, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28611188/new-quantitative-features-for-the-morphological-differentiation-of-abnormal-lymphoid-cell-images-from-peripheral-blood
#10
Laura Puigví, Anna Merino, Santiago Alférez, Andrea Acevedo, José Rodellar
AIMS: This work aims to propose a set of quantitative features through digital image analysis for significant morphological qualitative features of different cells for an objective discrimination among reactive, abnormal and blast lymphoid cells. METHODS: Abnormal lymphoid cells circulating in peripheral blood in chronic lymphocytic leukaemia, B-prolymphocytic leukaemia, hairy cell leukaemia, splenic marginal zone lymphoma, mantle cell lymphoma, follicular lymphoma, T-prolymphocytic leukaemia, T large granular lymphocytic leukaemia and Sézary syndrome, normal, reactive and blast lymphoid cells were included...
June 13, 2017: Journal of Clinical Pathology
https://www.readbyqxmd.com/read/28608163/prostate-specific-membrane-antigen-pet-mri-validation-of-mr-textural-analysis-for-detection-of-transition-zone-prostate-cancer
#11
Anthony Bates, Kenneth Miles
OBJECTIVES: To validate MR textural analysis (MRTA) for detection of transition zone (TZ) prostate cancer through comparison with co-registered prostate-specific membrane antigen (PSMA) PET-MR. METHODS: Retrospective analysis was performed for 30 men who underwent simultaneous PSMA PET-MR imaging for staging of prostate cancer. Thirty texture features were derived from each manually contoured T2-weighted, transaxial, prostatic TZ using texture analysis software that applies a spatial band-pass filter and quantifies texture through histogram analysis...
June 12, 2017: European Radiology
https://www.readbyqxmd.com/read/28603939/mesh-free-based-variational-level-set-evolution-for-breast-region-segmentation-and-abnormality-detection-using-mammograms
#12
Kanchan L Kashyap, Manish K Bajpai, Pritee Khanna, George Giakos
Automatic segmentation of abnormal region is a crucial task in computer aided detection system using mammograms. In this work an automatic abnormality detection algorithm using mammographic images is proposed. In the preprocessing step, partial differential equation based variational level set method is employed for breast region extraction. The evolution of the level set method is done by applying mesh-free based radial basis function. The limitation of mesh-based approach is removed by using mesh-free based RBF method...
June 11, 2017: International Journal for Numerical Methods in Biomedical Engineering
https://www.readbyqxmd.com/read/28594698/short-term-effects-of-y-27632-a-rho-associated-protein-kinase-inhibitor-on-chromatin-supraorganization-and-dna-amount-in-epithelial-cells-of-the-rat-cornea-and-limbus
#13
Marcela Aldrovani, Alexandre A F Barros Sobrinho, Fernanda Santos Mairos, José Luiz Laus
PURPOSE: To assess the short-term effects of instilling Y-27632, an inhibitor of Rho/Rho-associated protein kinases, on the chromatin supraorganization and DNA amount of corneal and limbal epithelial cells of healthy rats. METHODS: Longitudinal sections (7 μm) of enucleated eyes of healthy rats that received, by instillation, balanced salt solution with or without 10 mM of Y-27632 daily for 7 or 15 days, were subjected to the Feulgen reaction. Feulgen-stained nuclei of corneal and limbal epithelial cells were studied by microscopy and video image analysis to establish the nuclear size (area and perimeter), supraorganization of chromatin (texture and degrees of condensation), and the Feulgen-DNA amount...
July 2017: Cornea
https://www.readbyqxmd.com/read/28592331/thyroid-nodule-recognition-in-computed-tomography-using-first-order-statistics
#14
Wenxian Peng, Chenbin Liu, Shunren Xia, Dangdang Shao, Yihong Chen, Rui Liu, Zhiping Zhang
BACKGROUND: Computed tomography (CT) is one of the popular tools for early detection of thyroid nodule. The pixel intensity of thyroid in CT image is very important information to distinguish nodule from normal thyroid tissue. The pixel intensity in normal thyroid tissues is homogeneous and smooth. In the benign or malignant nodules, the pixel intensity is heterogeneous. Several studies have shown that the first order features in ultrasound image can be used as imaging biomarkers in nodule recognition...
June 2, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28589670/texture-analysis-of-ultrasound-images-is-a-sensitive-method-to-follow-up-muscle-damage-induced-by-eccentric-exercise
#15
Thiago Torres da Matta, Wagner Coelho de Albuquerque Pereira, Regis Radaelli, Ronei Silveira Pinto, Liliam Fernandes de Oliveira
The grey level of co-occurrence matrix (GLCM) is a texture analysis approach accounting for spatial distribution of the pixels from an image and can be a promising method for exercise-induced muscle damage (EIMD) studies. We followed up the time changes of two GLCM texture parameters and echo intensity (EI) on ultrasound images after eccentric contractions. Thirteen untrained women performed two sets of ten elbow flexions eccentric contractions. Ultrasound images were acquired at baseline and 24 h, 48 h, 72 h and 96 h after exercise...
June 7, 2017: Clinical Physiology and Functional Imaging
https://www.readbyqxmd.com/read/28585335/comparison-of-two-skin-imaging-analysis-instruments-the-visia-%C3%A2-from-canfield-vs-the-antera-3d-%C3%A2-cs-from-miravex
#16
F Linming, H Wei, L Anqi, C Yuanyu, X Heng, P Sushmita, L Yiming, L Li
BACKGROUND: The skin imaging analysis instruments are widely used to record and measure the surface and subsurface skin conditions. The main aim of this study is to reveal the differences and correlations in measuring wrinkle, skin texture, coloration/evenness, vascular features, and pore between two commercially available instruments. METHODS: Twenty-eight subjects were enrolled in the study. A 2*2 cm cardboard was used to make sure the two instruments analyze the same area...
June 5, 2017: Skin Research and Technology
https://www.readbyqxmd.com/read/28583634/texture-analysis-of-baseline-multiphasic-hepatic-computed-tomography-images-for-the-prognosis-of-single-hepatocellular-carcinoma-after-hepatectomy-a-retrospective-pilot-study
#17
Shuting Chen, Yanjie Zhu, Zaiyi Liu, Changhong Liang
OBJECTIVE: To assess the prognostic value of texture analysis for single hepatocellular carcinomas (HCCs) after hepatectomy. MATERIALS AND METHODS: A total of 61 HCC patients were enrolled in this retrospective study. Textural characteristics of the computed tomography (CT) images were quantified. The differences between the hepatic arterial phase and the portal venous phase were obtained (the Dif.). The receiver operating characteristic (ROC) curves were used for data screening...
May 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28583627/resectable-pancreatic-adenocarcinoma-role-of-ct-quantitative-imaging-biomarkers-for-predicting-pathology-and-patient-outcomes
#18
Christophe Cassinotto, Jaron Chong, George Zogopoulos, Caroline Reinhold, Laurence Chiche, Jean-Pierre Lafourcade, Adeline Cuggia, Eric Terrebonne, Anthony Dohan, Benoît Gallix
BACKGROUNDS: Patients with a pancreatic cancer amenable to surgery still have a poor prognosis and high risk of post-operative recurrence. We aimed to assess the value of quantitative imaging biomarkers using computed-tomography (CT) texture analysis to evaluate the pathologic tumor aggressiveness and predict disease-free survival (DFS) in patients with resectable pancreatic adenocarcinoma. METHODS: We retrospectively performed attenuation measurements and texture analysis on the portal-venous phase of the pre-operative CT scan of 99 patients that underwent resection of a pancreatic ductal adenocarcinoma in two university hospitals...
May 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28583623/pre-treatment-mdct-based-texture-analysis-for-therapy-response-prediction-in-gastric-cancer-comparison-with-tumour-regression-grade-at-final-histology
#19
Francesco Giganti, Paolo Marra, Alessandro Ambrosi, Annalaura Salerno, Sofia Antunes, Damiano Chiari, Elena Orsenigo, Antonio Esposito, Elena Mazza, Luca Albarello, Roberto Nicoletti, Carlo Staudacher, Alessandro Del Maschio, Francesco De Cobelli
PURPOSE: An accurate prediction of tumour response to therapy is fundamental in oncology, so as to prompt personalised treatment options if needed. The aim of this study was to investigate the ability of preoperative texture analysis from multi-detector computed tomography (MDCT) in the prediction of the response rate to neo-adjuvant therapy in patients with gastric cancer. MATERIAL AND METHODS: Thirty-four patients with biopsy-proven gastric cancer were examined by MDCT before neo-adjuvant therapy, and treated with radical surgery after treatment completion...
May 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28582450/spontaneous-low-frequency-bold-signal-variations-from-resting-state-fmri-are-decreased-in-alzheimer-disease
#20
Samaneh Kazemifar, Kathryn Y Manning, Nagalingam Rajakumar, Francisco A Gómez, Andrea Soddu, Michael J Borrie, Ravi S Menon, Robert Bartha
Previous studies have demonstrated altered brain activity in Alzheimer's disease using task based functional MRI (fMRI), network based resting-state fMRI, and glucose metabolism from 18F fluorodeoxyglucose-PET (FDG-PET). Our goal was to define a novel indicator of neuronal activity based on a first-order textural feature of the resting state functional MRI (RS-fMRI) signal. Furthermore, we examined the association between this neuronal activity metric and glucose metabolism from 18F FDG-PET. We studied 15 normal elderly controls (NEC) and 15 probable Alzheimer disease (AD) subjects from the AD Neuroimaging Initiative...
2017: PloS One
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