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Image Texture Analysis

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https://www.readbyqxmd.com/read/28453512/a-reproducible-semi-automatic-method-to-quantify-the-muscle-lipid-distribution-in-clinical-3d-ct-images-of-the-thigh
#1
Alexander Mühlberg, Oleg Museyko, Jean-Denis Laredo, Klaus Engelke
Many studies use threshold-based techniques to assess in vivo the muscle, bone and adipose tissue distribution of the legs using computed tomography (CT) imaging. More advanced techniques divide the legs into subcutaneous adipose tissue (SAT), anatomical muscle (muscle tissue and adipocytes within the muscle border) and intra- and perimuscular adipose tissue. In addition, a so-called muscle density directly derived from the CT-values is often measured. We introduce a new integrated approach to quantify the muscle-lipid system (MLS) using quantitative CT in patients with sarcopenia or osteoporosis...
2017: PloS One
https://www.readbyqxmd.com/read/28434856/can-ct-and-mr-shape-and-textural-features-differentiate-benign-versus-malignant-pleural-lesions
#2
Elena Pena, MacArinze Ojiaku, Joao R Inacio, Ashish Gupta, D Blair Macdonald, Wael Shabana, Jean M Seely, Frank J Rybicki, Carole Dennie, Rebecca E Thornhill
RATIONALE AND OBJECTIVES: The study aimed to identify a radiomic approach based on CT and or magnetic resonance (MR) features (shape and texture) that may help differentiate benign versus malignant pleural lesions, and to assess if the radiomic model may improve confidence and accuracy of radiologists with different subspecialty backgrounds. MATERIALS AND METHODS: Twenty-nine patients with pleural lesions studied on both contrast-enhanced CT and MR imaging were reviewed retrospectively...
April 20, 2017: Academic Radiology
https://www.readbyqxmd.com/read/28432822/focal-liver-lesions-segmentation-and-classification-in-nonenhanced-t2-weighted-mri
#3
Ilias Gatos, Stavros Tsantis, Maria Karamesini, Stavros Spiliopoulos, Dimitris Karnabatidis, John D Hazle, George C Kagadis
PURPOSE: To automatically segment and classify focal liver lesions (FLLs) on nonenhanced T2-weighted magnetic resonance imaging (MRI) scans using a computer-aided diagnosis (CAD) algorithm. METHODS: 71 FLLs (30 benign lesions, 19 hepatocellular carcinomas, and 22 metastases) on T2-weighted MRI scans were delineated by the proposed CAD scheme. The FLL segmentation procedure involved wavelet multiscale analysis to extract accurate edge information and mean intensity values for consecutive edges computed using horizontal and vertical analysis that were fed into the subsequent fuzzy C-means algorithm for final FLL border extraction...
April 22, 2017: Medical Physics
https://www.readbyqxmd.com/read/28430603/tumor-heterogeneity-assessed-by-texture-analysis-on-contrast-enhanced-ct-in-lung-adenocarcinoma-association-with-pathologic-grade
#4
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...
February 16, 2017: Oncotarget
https://www.readbyqxmd.com/read/28429332/the-effect-of-post-injection-18-f-fdg-pet-scanning-time-on-texture-analysis-of-peripheral-nerve-sheath-tumours-in-neurofibromatosis-1
#5
Eitan Lovat, Musib Siddique, Vicky Goh, Rosalie E Ferner, Gary J R Cook, Victoria S Warbey
BACKGROUND: Texture features are being increasingly evaluated in (18)F-fluorodeoxyglucose positron emission tomography ((18)F-FDG PET) as adjunctive imaging biomarkers in a number of different cancers. Whilst studies have reported repeatability between scans, there have been no studies that have specifically investigated the effect that the time of acquisition post-injection of (18)F-FDG has on texture features. The aim of this study was to investigate if texture features change between scans performed at different time points post-injection...
December 2017: EJNMMI Research
https://www.readbyqxmd.com/read/28426134/metastasis-detection-from-whole-slide-images-using-local-features-and-random-forests
#6
Mira Valkonen, Kimmo Kartasalo, Kaisa Liimatainen, Matti Nykter, Leena Latonen, Pekka Ruusuvuori
Digital pathology has led to a demand for automated detection of regions of interest, such as cancerous tissue, from scanned whole slide images. With accurate methods using image analysis and machine learning, significant speed-up, and savings in costs through increased throughput in histological assessment could be achieved. This article describes a machine learning approach for detection of cancerous tissue from scanned whole slide images. Our method is based on feature engineering and supervised learning with a random forest model...
April 20, 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
https://www.readbyqxmd.com/read/28426133/quantitative-phase-microscopy-spatial-signatures-of-cancer-cells
#7
Darina Roitshtain, Lauren Wolbromsky, Evgeny Bal, Hayit Greenspan, Lisa L Satterwhite, Natan T Shaked
We present cytometric classification of live healthy and cancerous cells by using the spatial morphological and textural information found in the label-free quantitative phase images of the cells. We compare both healthy cells to primary tumor cells and primary tumor cells to metastatic cancer cells, where tumor biopsies and normal tissues were isolated from the same individuals. To mimic analysis of liquid biopsies by flow cytometry, the cells were imaged while unattached to the substrate. We used low-coherence off-axis interferometric phase microscopy setup, which allows a single-exposure acquisition mode, and thus is suitable for quantitative imaging of dynamic cells during flow...
April 20, 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
https://www.readbyqxmd.com/read/28423413/human-perception-of-subresolution-fineness-of-dense-textures-based-on-image-intensity-statistics
#8
Masataka Sawayama, Shin'ya Nishida, Mikio Shinya
We are surrounded by many textures with fine dense structures, such as human hair and fabrics, whose individual elements are often finer than the spatial resolution limit of the visual system or that of a digitized image. Here we show that human observers have an ability to visually estimate subresolution fineness of those textures. We carried out a psychophysical experiment to show that observers could correctly discriminate differences in the fineness of hair-like dense line textures even when the thinnest line element was much finer than the resolution limit of the eye or that of the display...
April 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/28421244/texture-analysis-as-a-radiomic-marker-for-differentiating-renal-tumors
#9
HeiShun Yu, Jonathan Scalera, Maria Khalid, Anne-Sophie Touret, Nicolas Bloch, Baojun Li, Muhammad M Qureshi, Jorge A Soto, Stephan W Anderson
PURPOSE: To evaluate the utility of texture analysis for the differentiation of renal tumors, including the various renal cell carcinoma subtypes and oncocytoma. MATERIALS AND METHODS: Following IRB approval, a retrospective analysis was performed, including all patients with pathology-proven renal tumors and an abdominal computed tomography (CT) examination. CT images of the tumors were manually segmented, and texture analysis of the segmented tumors was performed...
April 18, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/28419079/predicting-breast-cancer-response-to-neoadjuvant-chemotherapy-using-pretreatment-diffuse-optical-spectroscopic-texture-analysis
#10
William T Tran, Mehrdad J Gangeh, Lakshmanan Sannachi, Lee Chin, Elyse Watkins, Silvio G Bruni, Rashin Fallah Rastegar, Belinda Curpen, Maureen Trudeau, Sonal Gandhi, Martin Yaffe, Elzbieta Slodkowska, Charmaine Childs, Ali Sadeghi-Naini, Gregory J Czarnota
BACKGROUND: Diffuse optical spectroscopy (DOS) has been demonstrated capable of monitoring response to neoadjuvant chemotherapy (NAC) in locally advanced breast cancer (LABC) patients. In this study, we evaluate texture features of pretreatment DOS functional maps for predicting LABC response to NAC. METHODS: Locally advanced breast cancer patients (n=37) underwent DOS breast imaging before starting NAC. Breast tissue parametric maps were constructed and texture analyses were performed based on grey-level co-occurrence matrices for feature extraction...
April 18, 2017: British Journal of Cancer
https://www.readbyqxmd.com/read/28417282/coastal-modification-of-a-scene-employing-multispectral-images-and-vector-operators
#11
Jorge Lira
Changes in sea level, wind patterns, sea current patterns, and tide patterns have produced morphologic transformations in the coastline area of Tamaulipas Sate in North East Mexico. Such changes generated a modification of the coastline and variations of the texture-relief and texture of the continental area of Tamaulipas. Two high-resolution multispectral satellite Satellites Pour l'Observation de la Terre images were employed to quantify the morphologic change of such continental area. The images cover a time span close to 10 years...
May 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28414731/a-hyper-temporal-remote-sensing-protocol-for-high-resolution-mapping-of-ecological-sites
#12
Jonathan J Maynard, Jason W Karl
Ecological site classification has emerged as a highly effective land management framework, but its utility at a regional scale has been limited due to the spatial ambiguity of ecological site locations in the U.S. or the absence of ecological site maps in other regions of the world. In response to these shortcomings, this study evaluated the use of hyper-temporal remote sensing (i.e., hundreds of images) for high spatial resolution mapping of ecological sites. We posit that hyper-temporal remote sensing can provide novel insights into the spatial variability of ecological sites by quantifying the temporal response of land surface spectral properties...
2017: PloS One
https://www.readbyqxmd.com/read/28413203/nuclear-morphometry-and-texture-analysis-on-cytological-smears-of-thyroid-neoplasms-a-study-of-50-cases
#13
L Deka, S Gupta, R Gupta, K Gupta, C J Kaur, S Singh S
BACKGROUND: Fine needle aspiration cytology (FNAC) is a reliable and reproducible diagnostic technique for thyroid lesions with certain limitations. Computed morphometric methods have been introduced with a view to improve the diagnostic yield of thyroid aspirates. However, a review of the existing literature revealed conflicting reports regarding morphometric parameters in thyroid neoplasms. MATERIALS AND METHODS: This study included 50 cases of thyroid lesions (20 cases of colloid goitre, 15 of follicular adenoma, 5 of follicular carcinoma and 10 papillary carcinomas)...
April 2017: Malaysian Journal of Pathology
https://www.readbyqxmd.com/read/28409834/fully-automatic-and-accurate-detection-of-lung-nodules-in-ct-images-using-a-hybrid-feature-set
#14
Furqan Shaukat, Gulistan Raja, Ali Gooya, Alejandro F Frangi
PURPOSE: The aim of this study was to develop a novel technique for lung nodule detection using an optimized feature set. This feature set has been achieved after rigorous experimentation, which has helped in reducing the false positives significantly. METHOD: The proposed method starts with pre-processing, removing any present noise from input images, followed by lung segmentation using optimal thresholding. Then the image is enhanced using multi scale dot enhancement filtering prior to nodule detection and feature extraction...
April 13, 2017: Medical Physics
https://www.readbyqxmd.com/read/28409221/-18-fluorodeoxyglucose-positron-emission-tomography-for-the-textural-features-of-cervical-cancer-associated-with-lymph-node-metastasis-and-histological-type
#15
Wei-Chih Shen, Shang-Wen Chen, Ji-An Liang, Te-Chun Hsieh, Kuo-Yang Yen, Chia-Hung Kao
BACKGROUND: In this study, we investigated the correlation between the lymph node (LN) status or histological types and textural features of cervical cancers on (18)F-fluorodeoxyglucose positron emission tomography/computed tomography. METHODS: We retrospectively reviewed the imaging records of 170 patients with International Federation of Gynecology and Obstetrics stage IB-IVA cervical cancer. Four groups of textural features were studied in addition to the maximum standardized uptake value (SUVmax), metabolic tumor volume, and total lesion glycolysis (TLG)...
April 14, 2017: European Journal of Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/28392615/ultra-high-spatial-resolution-multi-energy-ct-using-photon-counting-detector-technology
#16
S Leng, R Gutjahr, A Ferrero, S Kappler, A Henning, A Halaweish, W Zhou, J Montoya, C McCollough
Two ultra-high-resolution (UHR) imaging modes, each with two energy thresholds, were implemented on a research, whole-body photon-counting-detector (PCD) CT scanner, referred to as sharp and UHR, respectively. The UHR mode has a pixel size of 0.25 mm at iso-center for both energy thresholds, with a collimation of 32 × 0.25 mm. The sharp mode has a 0.25 mm pixel for the low-energy threshold and 0.5 mm for the high-energy threshold, with a collimation of 48 × 0.25 mm. Kidney stones with mixed mineral composition and lung nodules with different shapes were scanned using both modes, and with the standard imaging mode, referred to as macro mode (0...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28390654/image-edge-detection-based-tool-condition-monitoring-with-morphological-component-analysis
#17
Xiaolong Yu, Xin Lin, Yiquan Dai, Kunpeng Zhu
The measurement and monitoring of tool condition are keys to the product precision in the automated manufacturing. To meet the need, this study proposes a novel tool wear monitoring approach based on the monitored image edge detection. Image edge detection has been a fundamental tool to obtain features of images. This approach extracts the tool edge with morphological component analysis. Through the decomposition of original tool wear image, the approach reduces the influence of texture and noise for edge measurement...
April 5, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28390140/quantitative-sonographic-assessment-of-the-quadriceps-femoris-muscle-in-healthy-japanese-adults
#18
Tsuneo Watanabe, Hiroki Murakami, Daisuke Fukuoka, Nobuo Terabayashi, Sohee Shin, Tamotsu Yabumoto, Hiroyasu Ito, Hiroshi Fujita, Toshio Matsuoka, Mitsuru Seishima
OBJECTIVES: The aim of this study was to evaluate the relationships among aging, muscle strength, and image feature analysis of the quadriceps femoris muscle and to evaluate the relationship between aging, muscle strength, and sonographic findings. METHODS: One hundred forty-five healthy volunteers participated in the study. The participants were classified into 6 groups on the basis of sex and age. To assess muscle quality, texture analysis was defined with the following parameters: mean, skewness, kurtosis, inverse difference moment, sum of entropy, and angular second moment...
April 8, 2017: Journal of Ultrasound in Medicine: Official Journal of the American Institute of Ultrasound in Medicine
https://www.readbyqxmd.com/read/28386414/a-morphometric-analysis-of-vegetation-patterns-in-dryland-ecosystems
#19
Luke Mander, Stefan C Dekker, Mao Li, Washington Mio, Surangi W Punyasena, Timothy M Lenton
Vegetation in dryland ecosystems often forms remarkable spatial patterns. These range from regular bands of vegetation alternating with bare ground, to vegetated spots and labyrinths, to regular gaps of bare ground within an otherwise continuous expanse of vegetation. It has been suggested that spotted vegetation patterns could indicate that collapse into a bare ground state is imminent, and the morphology of spatial vegetation patterns, therefore, represents a potentially valuable source of information on the proximity of regime shifts in dryland ecosystems...
February 2017: Royal Society Open Science
https://www.readbyqxmd.com/read/28382315/supervised-classification-of-etoposide-treated-in-vitro-adherent-cells-based-on-noninvasive-imaging-morphology
#20
Anna Leida Mölder, Johan Persson, Zahra El-Schich, Silvester Czanner, Anette Gjörloff-Wingren
Single-cell studies using noninvasive imaging is a challenging, yet appealing way to study cellular characteristics over extended periods of time, for instance to follow cell interactions and the behavior of different cell types within the same sample. In some cases, e.g., transplantation culturing, real-time cellular monitoring, stem cell studies, in vivo studies, and embryo growth studies, it is also crucial to keep the sample intact and invasive imaging using fluorophores or dyes is not an option. Computerized methods are needed to improve throughput of image-based analysis and for use with noninvasive microscopy such methods are poorly developed...
April 2017: Journal of Medical Imaging
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