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Image Texture Analysis

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https://www.readbyqxmd.com/read/28936601/texture-analysis-of-high-resolution-dedicated-breast-18-f-fdg-pet-images-correlates-with-immunohistochemical-factors-and-subtype-of-breast-cancer
#1
Alexis Moscoso, Álvaro Ruibal, Inés Domínguez-Prado, Anxo Fernández-Ferreiro, Míchel Herranz, Luis Albaina, Sonia Argibay, Jesús Silva-Rodríguez, Juan Pardo-Montero, Pablo Aguiar
PURPOSE: This study aims to determine whether PET textural features measured with a new dedicated breast PET scanner reflect biological characteristics of breast tumors. METHODS: One hundred and thirty-nine breast tumors from 127 consecutive patients were included in this analysis. All of them underwent a (18)F-FDG PET scan before treatment. Well-known PET quantitative parameters such as SUV m a x , SUV m e a n , metabolically active tumor volume (MATV) and total lesion glycolysis (TLG) were extracted...
September 21, 2017: European Journal of Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/28931888/automatic-classification-of-cancerous-tissue-in-laserendomicroscopy-images-of-the-oral-cavity-using-deep-learning
#2
Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas Maier
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed at a late stage. Early detection and accurate outline estimation of OSCCs would lead to a better curative outcome and a reduction in recurrence rates after surgical treatment. Confocal Laser Endomicroscopy (CLE) records sub-surface micro-anatomical images for in vivo cell structure analysis...
September 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28928507/characteristics-of-xanthosoma-sagittifolium-roots-during-cooking-using-physicochemical-analysis-uniaxial-compression-multispectral-imaging-and-low-field-nmr-spectroscopy
#3
Abena Achiaa Boakye, María Gudjónsdóttir, Jacob Lercke Skytte, Ioannis S Chronakis, Faustina Dufie Wireko-Manu, Ibok Oduro
To effectively promote the industrial utilization of cocoyam (Xanthosoma sagittifolium) roots for enhanced food sustainability and security, there is a need to study their molecular, mechanical and physicochemical properties in detail. The physicochemical and textural characteristics of the red and white varieties of cocoyam roots were thus analysed by low field nuclear magnetic resonance relaxometry, multispectral imaging, uniaxial compression testing, and relevant physicochemical analysis in the current study...
August 2017: Journal of Food Science and Technology
https://www.readbyqxmd.com/read/28928501/relationships-between-structural-fat-properties-with-sensory-physical-and-textural-attributes-of-yeast-leavened-laminated-salty-baked-product
#4
Ana E de la Horra, Gabriela N Barrera, Eugenia M Steffolani, Pablo D Ribotta, Alberto E León
The aim of this study was to establish relationships between structural fat properties and sensory, physical and textural attributes of yeast-leavened laminated salty products. Refined bovine fat (MG1) and shortening (MG2), with a solid fat content (SFC) higher than 20% at temperature range of 15-35 °C were more viscous and less sensitive to temperature changes. The micrographs of dough|fat|dough sections corresponding to samples with MG1 and MG2 revealed a lower penetration of the fat sheet in the dough section due to the more entangled fat structures that did not allow a great flow throughout the dough layer...
August 2017: Journal of Food Science and Technology
https://www.readbyqxmd.com/read/28924576/deep-learning-in-breast-cancer-risk-assessment-evaluation-of-convolutional-neural-networks-on-a-clinical-dataset-of-full-field-digital-mammograms
#5
Hui Li, Maryellen L Giger, Benjamin Q Huynh, Natalia O Antropova
To evaluate deep learning in the assessment of breast cancer risk in which convolutional neural networks (CNNs) with transfer learning are used to extract parenchymal characteristics directly from full-field digital mammographic (FFDM) images instead of using computerized radiographic texture analysis (RTA), 456 clinical FFDM cases were included: a "high-risk" BRCA1/2 gene-mutation carriers dataset (53 cases), a "high-risk" unilateral cancer patients dataset (75 cases), and a "low-risk dataset" (328 cases)...
October 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28921519/impact-of-pork-collagen-superfine-powder-on-rheological-and-texture-properties-of-harbin-red-sausage
#6
Wenhang Wang, Xiao Wang, Wenping Zhao, Guixian Gao, Xiaowei Zhang, Yabin Wang, Yanan Wang
It is a challenge for producers to looking for excellent filler to satisfy the required qualities of high grade meat products such as Harbin red sausage in China. Four collagen superfine powders (CSPs) from pig skin with different heating pretreatments, named as T0 (non-heating), T1 (at 60 °C for 20 min), T2 (at 80 °C for 20 min), T3 (at 120 °C for 10 min) respectively, at various concentrations (1, 3, 5 wt%) were added to the sausage and their impact on sausage properties was investigated. Rheological results showed that addition of CSPs especially T2 increased the elastic modulus (G') of sausage, indicating the enhanced stabilization of meat batter due to formation of a coherent protein network...
September 18, 2017: Journal of Texture Studies
https://www.readbyqxmd.com/read/28914611/deep-convolutional-neural-network-with-transfer-learning-for-rectum-toxicity-prediction-in-cervical-cancer-radiotherapy-a-feasibility-study
#7
Xin Zhen, Jiawei Chen, Zichun Zhong, Brian Andrew Hrycushko, Linghong Zhou, Steve B Jiang, Kevin Albuquerque, Xuejun Gu
Better understanding of the dose-toxicity relationship is critical for safe dose escalation to improve local control in late-stage cervical cancer radiotherapy. In this study, we introduced a convolutional neural network (CNN) model to analyze rectum dose distribution and predict rectum toxicity. Forty-two cervical cancer patients treated with combined external beam radiotherapy (EBRT) and brachytherapy (BT) were retrospectively collected, including twelve toxicity patients and thirty non-toxicity patients...
September 15, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28911619/characterization-of-yogurts-made-with-milk-solids-nonfat-by-rheological-behavior-and-nuclear-magnetic-resonance-spectroscopy
#8
Hai-Yan Yu, Li Wang, Kathryn L McCarthy
The effect of adding milk solids nonfat (MSNF) on the physical properties and microstructure of yogurts was investigated. The physical properties of fat free yogurt, fat free with MSNF yogurt, whole fat yogurt, and whole fat with MSNF yogurt were analyzed using shear viscosity, viscoelasticity, and texture analysis. The two yogurts with MSNF had higher consistency coefficient (K), storage modulus (G'), yield stress, and hardness. To gain insight into the multiphase system, nuclear magnetic resonance (NMR) and brightfield microscope images were acquired...
October 2016: Journal of Food and Drug Analysis
https://www.readbyqxmd.com/read/28910352/deep-learning-approach-to-bacterial-colony-classification
#9
Bartosz Zieliński, Anna Plichta, Krzysztof Misztal, Przemysław Spurek, Monika Brzychczy-Włoch, Dorota Ochońska
In microbiology it is diagnostically useful to recognize various genera and species of bacteria. It can be achieved using computer-aided methods, which make the recognition processes more automatic and thus significantly reduce the time necessary for the classification. Moreover, in case of diagnostic uncertainty (the misleading similarity in shape or structure of bacterial cells), such methods can minimize the risk of incorrect recognition. In this article, we apply the state of the art method for texture analysis to classify genera and species of bacteria...
2017: PloS One
https://www.readbyqxmd.com/read/28905201/assessment-of-intratumor-heterogeneity-in-mesenchymal-uterine-tumor-by-an-18-f-fdg-pet-ct-texture-analysis
#10
Tetsuya Tsujikawa, Makoto Yamamoto, Kunihiro Shono, Shizuka Yamada, Hideaki Tsuyoshi, Yasushi Kiyono, Hirohiko Kimura, Hidehiko Okazawa, Yoshio Yoshida
OBJECTIVE: The aim of this study was to retrospectively evaluate the clinical significance of (18)F-FDG PET/CT textural features for discriminating uterine sarcoma from leiomyoma. METHODS: Fifty-five patients with suspected uterine sarcoma based on ultrasound and MRI findings who underwent pretreatment (18)F-FDG PET/CT were included. Fifteen patients were histopathologically proven to have uterine sarcoma, 14 patients by surgical operation and one by biopsy, and 40 patients were diagnosed with leiomyoma by surgical operation or in a follow-up for at least 2 years...
September 13, 2017: Annals of Nuclear Medicine
https://www.readbyqxmd.com/read/28898189/ct-texture-analysis-definitions-applications-biologic-correlates-and-challenges
#11
Meghan G Lubner, Andrew D Smith, Kumar Sandrasegaran, Dushyant V Sahani, Perry J Pickhardt
This review discusses potential oncologic and nononcologic applications of CT texture analysis ( CTTA CT texture analysis ), an emerging area of "radiomics" that extracts, analyzes, and interprets quantitative imaging features. CTTA CT texture analysis allows objective assessment of lesion and organ heterogeneity beyond what is possible with subjective visual interpretation and may reflect information about the tissue microenvironment. CTTA CT texture analysis has shown promise in lesion characterization, such as differentiating benign from malignant or more biologically aggressive lesions...
September 2017: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://www.readbyqxmd.com/read/28887836/a-novel-method-for-quantification-of-beam-s-eye-view-tumor-tracking-performance
#12
Yue-Houng Hu, Marios Myronakis, Joerg Rottmann, Adam Wang, Daniel Morf, Daniel Shedlock, Paul Baturin, Josh Star-Lack, Ross Berbeco
PURPOSE: In-treatment imaging using an electronic portal imaging device (EPID) can be used to confirm patient and tumor positioning. Real-time tumor tracking performance using current digital megavolt (MV) imagers is hindered by poor image quality. Novel EPID designs may help to improve quantum noise response, while also preserving the high spatial resolution of the current clinical detector. Recently investigated EPID design improvements include but are not limited to multi-layer imager (MLI) architecture, thick crystalline and amorphous scintillators, and phosphor pixilation and focusing...
September 9, 2017: Medical Physics
https://www.readbyqxmd.com/read/28884356/diagnostic-value-of-mri-based-3d-texture-analysis-for-tissue-characterisation-and-discrimination-of-low-grade-chondrosarcoma-from-enchondroma-a-pilot-study
#13
Catharina S Lisson, Christoph G Lisson, Kerstin Flosdorf, Regine Mayer-Steinacker, Markus Schultheiss, Alexandra von Baer, Thomas F E Barth, Ambros J Beer, Matthias Baumhauer, Reinhard Meier, Meinrad Beer, Stefan A Schmidt
OBJECTIVES: To explore the diagnostic value of MRI-based 3D texture analysis to identify texture features that can be used for discrimination of low-grade chondrosarcoma from enchondroma. METHODS: Eleven patients with low-grade chondrosarcoma and 11 patients with enchondroma were retrospectively evaluated. Texture analysis was performed using mint Lesion: Kurtosis, entropy, skewness, mean of positive pixels (MPP) and uniformity of positive pixel distribution (UPP) were obtained in four MRI sequences and correlated with histopathology...
September 7, 2017: European Radiology
https://www.readbyqxmd.com/read/28881840/tumor-heterogeneity-assessed-by-texture-analysis-on-contrast-enhanced-ct-in-lung-adenocarcinoma-association-with-pathologic-grade
#14
Ying Liu, Shichang Liu, Fangyuan Qu, Qian Li, Runfen Cheng, Zhaoxiang Ye
Objectives To investigate whether texture features on contrast-enhanced computed tomography (CECT) images of lung adenocarcinoma have association with pathologic grade. Methods A cohort of 148 patients with surgically operated adenocarcinoma was retrospectively reviewed. Fifty-four CT features of the primary lung tumor were extracted from CECT images using open-source 3D Slicer software; meanwhile, enhancement homogeneity was evaluated by two radiologists using visual assessment. Multivariate logistic regression analysis was performed to determine significant image indicator of pathologic grade...
August 8, 2017: Oncotarget
https://www.readbyqxmd.com/read/28877645/bone-marrow-cavity-segmentation-using-graph-cuts-with-wavelet-based-texture-feature
#15
Hironori Shigeta, Tomohiro Mashita, Junichi Kikuta, Shigeto Seno, Haruo Takemura, Masaru Ishii, Hideo Matsuda
Emerging bioimaging technologies enable us to capture various dynamic cellular activities in vivo. As large amounts of data are obtained these days and it is becoming unrealistic to manually process massive number of images, automatic analysis methods are required. One of the issues for automatic image segmentation is that image-taking conditions are variable. Thus, commonly, many manual inputs are required according to each image. In this paper, we propose a bone marrow cavity (BMC) segmentation method for bone images as BMC is considered to be related to the mechanism of bone remodeling, osteoporosis, and so on...
August 25, 2017: Journal of Bioinformatics and Computational Biology
https://www.readbyqxmd.com/read/28877273/virtual-reality-simulator-for-dental-anesthesia-training-in-the-inferior-alveolar-nerve-block
#16
Cléber Gimenez Corrêa, Maria Aparecida de Andrade Moreira Machado, Edith Ranzini, Romero Tori, Fátima de Lourdes Santos Nunes
Objectives: This study shows the development and validation of a dental anesthesia-training simulator, specifically for the inferior alveolar nerve block (IANB). The system developed provides the tactile sensation of inserting a real needle in a human patient, using Virtual Reality (VR) techniques and a haptic device that can provide a perceived force feedback in the needle insertion task during the anesthesia procedure. Material and Methods: To simulate a realistic anesthesia procedure, a Carpule syringe was coupled to a haptic device...
July 2017: Journal of Applied Oral Science: Revista FOB
https://www.readbyqxmd.com/read/28874210/ultrastructural-elemental-and-mineralogical-analysis-of-vascular-calcification-in-atherosclerosis
#17
Ida Perrotta, Edoardo Perri
Over the past few decades, remarkable progress has been achieved in terms of understanding the molecular and cellular mechanisms of atherosclerotic vascular calcification and the important role of matrix vesicles in initiating and propagating pathologic tissue mineralization has been widely recognized. Despite these recent advances, however, no definitive data are currently available regarding the texture and composition of the minerals that grow in the vessel wall during the course of the disease. Using different electron microscopy imaging and analysis, we demonstrate that vascular cells can produce and secrete more than one type of matrix vesicles which act as sites for initial mineral deposition independently of their structural features...
September 6, 2017: Microscopy and Microanalysis
https://www.readbyqxmd.com/read/28873627/statistical-pattern-recognition-classification-with-computer-vision-images-for-assessing-the-furan-content-of-fried-dough-pieces
#18
Gabriel A Leiva-Valenzuela, María Mariotti, Germán Mondragón, Franco Pedreschi
This research tested furan classification models in fried matrices based on the pattern recognition of images. Samples were fried at 150, 160, 170, 180, and 190°C for 5, 7, 9, 11, 13, and 30min. Furan was measured by GC-MS. Corresponding images were acquired and processed to extract 2175 chromatic and textural features. Principal component analysis was used to reduce features to 8-12 principal components. In parallel, sequential forward selection coupled with linear discriminant analysis (LDA) was the best strategy to select only 5-7 features...
January 15, 2018: Food Chemistry
https://www.readbyqxmd.com/read/28872679/potential-use-of-multispectral-imaging-technology-to-identify-moisture-content-and-water-holding-capacity-in-cooked-pork-sausages
#19
Fei Ma, Bin Zhang, Wu Wang, Peijun Li, Xiangli Niu, Conggui Chen, Lei Zheng
BACKGROUND: The traditional detection methods for moisture content (MC) and water-holding capacity (WHC) in cooked pork sausages (CPS) are destructive, time-consuming, and require skilled personnel and not suitable for on-line industry applications. The goal of this work was to explore the potential of multispectral imaging (MSI) in combination with multivariate analysis for the identification of MC and WHC in CPS. RESULTS: Spectra and textures of 156 CPS treated by six salt concentrations (0-2...
September 5, 2017: Journal of the Science of Food and Agriculture
https://www.readbyqxmd.com/read/28872054/enhancement-of-multimodality-texture-based-prediction-models-via-optimization-of-pet-and-mr-image-acquisition-protocols-a-proof-of-concept
#20
Martin Vallières, Sébastien Laberge, André Diamant, Issam El Naqa
Texture-based radiomic models constructed from medical images have the potential to support cancer treatment management via personalized assessment of tumour aggressiveness. While the identification of stable texture features under varying imaging settings is crucial for the translation of radiomics analysis into routine clinical practice, we hypothesize in this work that a complementary optimization of image acquisition parameters prior to texture feature extraction could enhance the predictive performance of texture-based radiomic models...
September 5, 2017: Physics in Medicine and Biology
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