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Image Texture Analysis

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https://www.readbyqxmd.com/read/27929156/correlation-of-annealing-time-with-crystal-structure-composition-and-electronic-properties-of-ch3nh3pbi3-xclx-mixed-halide-perovskite-films
#1
Maryline Ralaiarisoa, Yan Busby, Johannes Frisch, Ingo Salzmann, Jean-Jacques Pireaux, Norbert Koch
Using 3D imaging with time-of-flight secondary ion mass spectrometry (ToF-SIMS) complemented by grazing-incidence X-ray diffraction (GIXRD), we spatially resolve changes in both the composition and structure of CH3NH3I3-xClx perovskite films on conducting polymer substrates at different annealing stages, in particular, before and after complete perovskite crystallization. The early stage of annealing is characterized by phase separation throughout the entire film into domains with perovskite and domains with a dominating chloride-rich phase...
December 8, 2016: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/27923387/mammographic-texture-and-risk-of-breast-cancer-by-tumor-type-and-estrogen-receptor-status
#2
Serghei Malkov, John A Shepherd, Christopher G Scott, Rulla M Tamimi, Lin Ma, Kimberly A Bertrand, Fergus Couch, Matthew R Jensen, Amir P Mahmoudzadeh, Bo Fan, Aaron Norman, Kathleen R Brandt, V Shane Pankratz, Celine M Vachon, Karla Kerlikowske
BACKGROUND: Several studies have shown that mammographic texture features are associated with breast cancer risk independent of the contribution of breast density. Thus, texture features may provide novel information for risk stratification. We examined the association of a set of established texture features with breast cancer risk by tumor type and estrogen receptor (ER) status, accounting for breast density. METHODS: This study combines five case-control studies including 1171 breast cancer cases and 1659 controls matched for age, date of mammogram, and study...
December 6, 2016: Breast Cancer Research: BCR
https://www.readbyqxmd.com/read/27921159/differentiation-of-uterine-leiomyosarcoma-from-atypical-leiomyoma-diagnostic-accuracy-of-qualitative-mr-imaging-features-and-feasibility-of-texture-analysis
#3
Yulia Lakhman, Harini Veeraraghavan, Joshua Chaim, Diana Feier, Debra A Goldman, Chaya S Moskowitz, Stephanie Nougaret, Ramon E Sosa, Hebert Alberto Vargas, Robert A Soslow, Nadeem R Abu-Rustum, Hedvig Hricak, Evis Sala
PURPOSE: To investigate whether qualitative magnetic resonance (MR) features can distinguish leiomyosarcoma (LMS) from atypical leiomyoma (ALM) and assess the feasibility of texture analysis (TA). METHODS: This retrospective study included 41 women (ALM = 22, LMS = 19) imaged with MRI prior to surgery. Two readers (R1, R2) evaluated each lesion for qualitative MR features. Associations between MR features and LMS were evaluated with Fisher's exact test. Accuracy measures were calculated for the four most significant features...
December 5, 2016: European Radiology
https://www.readbyqxmd.com/read/27917577/inter-and-intra-specific-diversity-in-cistus-l-cistaceae-seeds-analyzed-by-computer-vision-techniques
#4
Marisol Lo Bianco, Oscar Grillo, Eva Cañadas, Gianfranco Venora, Gianluigi Bacchetta
This work aims to discriminate among different species of the genus Cistus, using seeds parameters and following the scientific plant names included as accepted in The Plant List. Also the intra-specific phenotypic differentiation of C. creticus, through the comparison of three subspecies (C. creticus subsp. creticus, C. c. subsp. eriocephalus and C. c. subsp. corsicus) and the inter-population variability among five C. creticus subsp. eriocephalus populations, were evaluated. Seed mean weight and 137 morpho-colorimetric quantitative variables, describing shape, size, color and textural seed traits, were measured using image analysis techniques...
December 5, 2016: Plant Biology
https://www.readbyqxmd.com/read/27913337/melanoma-classification-on-dermoscopy-images-using-a-neural-network-ensemble-model
#5
Feng-Ying Xie, Haidi Fan, Li Yang, Zhi-Guo Jiang, Ru-Song Meng, Alan Bovik
We develop a novel method for classifying melanocytic tumors as benign or malignant by the analysis of digital dermoscopy images. The algorithm follows three steps: first, lesions are extracted using a self-generating neural network (SGNN); second, features descriptive of tumor color, texture and border are extracted; and third, lesion objects are classified using a classifier based on a neural network ensemble model. In clinical situations, lesions occur that are too large to be entirely contained within the dermoscopy image...
December 1, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/27911268/texture-analysis-of-intermediate-advanced-hepatocellular-carcinoma-prognosis-and-patients-selection-of-transcatheter-arterial-chemoembolization-and-sorafenib
#6
Sirui Fu, Shuting Chen, Changhong Liang, Zaiyi Liu, Yanjie Zhu, Yong Li, Ligong Lu
Transcatheter arterial chemoembolization (TACE) and sorafenib combination treatment for unselected hepatocellular carcinoma (HCC) is controversial. We explored the potential of texture analysis for appropriate patient selection. There were 261 HCCs included (TACE group: n = 197; TACE plus sorafenib (TACE+Sorafenib) group n = 64). We applied a Gabor filter and wavelet transform with 3 band-width responses (filter 0, 1.0, and 1.5) to portal-phase computed tomography (CT) images of the TACE group. Twenty-one textural parameters per filter were extracted from the region of interests delineated around tumor outline...
November 29, 2016: Oncotarget
https://www.readbyqxmd.com/read/27908164/comparison-of-low-contrast-detectability-between-two-ct-reconstruction-algorithms-using-voxel-based-3d-printed-textured-phantoms
#7
Justin Solomon, Alexandre Ba, François Bochud, Ehsan Samei
PURPOSE: To use novel voxel-based 3D printed textured phantoms in order to compare low-contrast detectability between two reconstruction algorithms, FBP (filtered-backprojection) and SAFIRE (sinogram affirmed iterative reconstruction) and determine what impact background texture (i.e., anatomical noise) has on estimating the dose reduction potential of SAFIRE. METHODS: Liver volumes were segmented from 23 abdominal CT cases. The volumes were characterized in terms of texture features from gray-level co-occurrence and run-length matrices...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27908020/tug-of-war-lacunarity-a-novel-approach-for-estimating-lacunarity
#8
Martin A Reiss, Birgit Lemmerer, Arnold Hanslmeier, Helmut Ahammer
Modern instrumentation provides us with massive repositories of digital images that will likely only increase in the future. Therefore, it has become increasingly important to automatize the analysis of digital images, e.g., with methods from pattern recognition. These methods aim to quantify the visual appearance of captured textures with quantitative measures. As such, lacunarity is a useful multi-scale measure of texture's heterogeneity but demands high computational efforts. Here we investigate a novel approach based on the tug-of-war algorithm, which estimates lacunarity in a single pass over the image...
November 2016: Chaos
https://www.readbyqxmd.com/read/27898201/diffusion-weighted-imaging-of-the-abdomen-impact-of-b-values-on-texture-analysis-features
#9
Anton S Becker, Matthias W Wagner, Moritz C Wurnig, Andreas Boss
The purpose of this work was to systematically assess the impact of the b-value on texture analysis in MR diffusion-weighted imaging (DWI) of the abdomen. In eight healthy male volunteers, echo-planar DWI sequences at 16 b-values ranging between 0 and 1000 s/mm(2) were acquired at 3 T. Three different apparent diffusion coefficient (ADC) maps were computed (0, 750/100, 390, 750 s/mm(2) /all b-values). Texture analysis of rectangular regions of interest in the liver, kidney, spleen, pancreas, paraspinal muscle and subcutaneous fat was performed on DW images and the ADC maps, applying 19 features computed from the histogram, grey-level co-occurrence matrix (GLCM) and grey-level run-length matrix (GLRLM)...
November 29, 2016: NMR in Biomedicine
https://www.readbyqxmd.com/read/27895962/texture-analysis-of-supraspinatus-ultrasound-image-for-computer-aided-diagnostic-system
#10
Byung Eun Park, Won Seuk Jang, Sun Kook Yoo
OBJECTIVES: In this paper, we proposed an algorithm for recognizing a rotator cuff supraspinatus tendon tear using a texture analysis based on a histogram, gray level co-occurrence matrix (GLCM), and gray level run length matrix (GLRLM). METHODS: First, we applied a total of 57 features (5 first order descriptors, 40 GLCM features, and 12 GLRLM features) to each rotator cuff region of interest. Our results show that first order statistics (mean, skewness, entropy, energy, smoothness), GLCM (correlation, contrast, energy, entropy, difference entropy, homogeneity, maximum probability, sum average, sum entropy), and GLRLM features are helpful to distinguish a normal supraspinatus tendon and an abnormal supraspinatus tendon...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27893380/area-determination-of-diabetic-foot-ulcer-images-using-a-cascaded-two-stage-svm-based-classification
#11
Lei Wang, Peder Pedersen, Emmanuel Agu, Diane Strong, Bengisu Tulu
It is standard practice for clinicians and nurses to primarily assess patients' wounds via visual examination. This subjective method can be inaccurate in wound assessment and also represents a significant clinical workload. Hence, computer-based systems, especially implemented on mobile devices, can provide automatic, quantitative wound assessment and can thus be valuable for accurately monitoring wound healing status. Out of all wound assessment parameters, the measurement of the wound area is the most suitable for automated analysis...
November 23, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/27887837/evaluating-the-influence-of-geo-environmental-factors-on-gully-erosion-in-a-semi-arid-region-of-iran-an-integrated-framework
#12
Omid Rahmati, Naser Tahmasebipour, Ali Haghizadeh, Hamid Reza Pourghasemi, Bakhtiar Feizizadeh
Despite the importance of soil erosion in sustainable development goals in arid and semi-arid areas, the study of the geo-environmental conditions and factors influencing gully erosion occurrence is rarely undertaken. As effort to this challenge, the main objective of this study is to apply an integrated approach of Geographic Object-Based Image Analysis (GEOBIA) together with high-spatial resolution imagery (SPOT-5) for detecting gully erosion features at the Kashkan-Poldokhtar watershed, Iran. We also aimed to apply a Conditional Probability (CP) model for establishing the spatial relationship between gullies and the Geo-Environmental Factors (GEFs)...
November 22, 2016: Science of the Total Environment
https://www.readbyqxmd.com/read/27887658/parameter-set-for-computer-assisted-texture-analysis-of-fetal-brain
#13
Hugues Gentillon, Ludomir Stefańczyk, Michał Strzelecki, Maria Respondek-Liberska
BACKGROUND: Magnetic resonance data were collected from a diverse population of gravid women to objectively compare the quality of 1.5-tesla (1.5 T) versus 3-T magnetic resonance imaging of the developing human brain. MaZda and B11 computational-visual cognition tools were used to process 2D images. We proposed a wavelet-based parameter and two novel histogram-based parameters for Fisher texture analysis in three-dimensional space. RESULTS: Wavenhl, focus index, and dispersion index revealed better quality for 3 T...
November 25, 2016: BMC Research Notes
https://www.readbyqxmd.com/read/27885836/texture-analysis-of-medical-images-for-radiotherapy-applications
#14
Elisa Scalco, Giovanna Rizzo
The high-throughput extraction of quantitative information from medical images, known as radiomics, has grown in interest due to the current necessity of quantitatively characterise tumour heterogeneity. In this context, texture analysis, consisting of a variety of mathematical techniques able to describe the grey-level patterns of an image, plays an important role in assessing the spatial organisation of different tissues and organs. For these reasons, the potentiality of texture analysis in the context of radiotherapy has been widely investigated in several studies, especially for the prediction of the treatment response of tumour and normal tissues...
November 25, 2016: British Journal of Radiology
https://www.readbyqxmd.com/read/27877885/investigation-of-microstructure-in-additive-manufactured-inconel-625-by-spatially-resolved-neutron-transmission-spectroscopy
#15
Anton S Tremsin, Yan Gao, Laura C Dial, Francesco Grazzi, Takenao Shinohara
Non-destructive testing techniques based on neutron imaging and diffraction can provide information on the internal structure of relatively thick metal samples (up to several cm), which are opaque to other conventional non-destructive methods. Spatially resolved neutron transmission spectroscopy is an extension of traditional neutron radiography, where multiple images are acquired simultaneously, each corresponding to a narrow range of energy. The analysis of transmission spectra enables studies of bulk microstructures at the spatial resolution comparable to the detector pixel...
2016: Science and Technology of Advanced Materials
https://www.readbyqxmd.com/read/27873148/local-texture-descriptors-for-the-assessment-of-differences-in-diffusion-magnetic-resonance-imaging-of-the-brain
#16
Felix Sebastian Leo Thomsen, Claudio Augusto Delrieux, Rodrigo de Luis-García
PURPOSE: Descriptors extracted from magnetic resonance imaging (MRI) of the brain can be employed to locate and characterize a wide range of pathologies. Scalar measures are typically derived within a single-voxel unit, but neighborhood-based texture measures can also be applied. In this work, we propose a new set of descriptors to compute local texture characteristics from scalar measures of diffusion tensor imaging (DTI), such as mean and radial diffusivity, and fractional anisotropy...
November 21, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27872871/microscopic-medical-image-classification-framework-via-deep-learning-and-shearlet-transform
#17
Hadi Rezaeilouyeh, Ali Mollahosseini, Mohammad H Mahoor
Cancer is the second leading cause of death in US after cardiovascular disease. Image-based computer-aided diagnosis can assist physicians to efficiently diagnose cancers in early stages. Existing computer-aided algorithms use hand-crafted features such as wavelet coefficients, co-occurrence matrix features, and recently, histogram of shearlet coefficients for classification of cancerous tissues and cells in images. These hand-crafted features often lack generalizability since every cancerous tissue and cell has a specific texture, structure, and shape...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27872493/imaging-of-surface-spin-textures-on-bulk-crystals-by-scanning-electron-microscopy
#18
Hiroshi Akamine, So Okumura, Sahar Farjami, Yasukazu Murakami, Minoru Nishida
Direct observation of magnetic microstructures is vital for advancing spintronics and other technologies. Here we report a method for imaging surface domain structures on bulk samples by scanning electron microscopy (SEM). Complex magnetic domains, referred to as the maze state in CoPt/FePt alloys, were observed at a spatial resolution of less than 100 nm by using an in-lens annular detector. The method allows for imaging almost all the domain walls in the mazy structure, whereas the visualisation of the domain walls with the classical SEM method was limited...
November 22, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27872217/an-analysis-of-human-dorsal-hand-skin-texture-using-hyperspectral-imaging-technique-for-assessing-the-skin-aging-process
#19
Mihaela Antonina Calin, Sorin Viorel Parasca, Marian Romeo Calin, Emil Petrescu
Skin texture has become an important issue in recent research with applications in the cosmetic industry and medicine. In this paper, we analyzed the dependence of skin texture features on wavelength as well as on different parameters (age and gender) of human participants using grey-level co-occurrence matrix and hyperspectral imaging technique for a more accurate quantitative assessment of the aging process. A total of 42 healthy participants (men and women; age range, 20-70 years) was enrolled in this study...
November 21, 2016: Applied Spectroscopy
https://www.readbyqxmd.com/read/27870613/orientation-histogram-based-center-surround-interaction-an-integration-approach-for-contour-detection
#20
Rongchang Zhao, Min Wu, Xiyao Liu, Beiji Zou, Fangfang Li
Contour is a critical feature for image description and object recognition in many computer vision tasks. However, detection of object contour remains a challenging problem because of disturbances from texture edges. This letter proposes a scheme to handle texture edges by implementing contour integration. The proposed scheme integrates structural segments into contours while inhibiting texture edges with the help of the orientation histogram-based center-surround interaction model. In the model, local edges within surroundings exert a modulatory effect on central contour cues based on the co-occurrence statistics of local edges described by the divergence of orientation histograms in the local region...
November 21, 2016: Neural Computation
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