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Image Texture Analysis

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https://www.readbyqxmd.com/read/28231577/response-evaluation-in-head-and-neck-oncology-definition-and-prediction
#1
T K Hoffmann, P J Schuler, S Laban, R Grässlin, M Beer, A J Beer, U Friebe-Hoffmann, L Bullinger, P Möller, T Wiegel
Curative treatment of head and neck squamous cell carcinoma includes surgery and/or (chemo)radiation, whereas in the palliative setting, chemotherapy and/or immunotherapy represent(s) the standard approach. With regard to quality control, methods for determining treatment response are sorely needed. For surgical therapy, histopathology is the standard quality control. Established criteria for high-risk patients include resection margins of the primary tumor and extracapsular extension of lymph node metastases...
February 24, 2017: ORL; Journal for Oto-rhino-laryngology and its related Specialties
https://www.readbyqxmd.com/read/28230716/experimental-texture-analysis-in-glioblastoma-a-methodological-study
#2
Nicolin Hainc, Christoph Stippich, Bram Stieltjes, Severina Leu, Andrea Bink
OBJECTIVES: Analysis of a single slice of a tumor to extract biomarkers for texture analysis may result in loss of information. We investigated correlation of fractional volumes to entire tumor volumes and introduced expanded regions of interest (ROIs) outside the visual tumor borders in glioblastoma. MATERIALS AND METHODS: Retrospective slice-by-slice volumetric texture analysis on 46 brain magnetic resonance imaging subjects with histologically confirmed glioblastoma was performed...
February 22, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28227983/3d-small-structure-detection-in-medical-image-using-texture-analysis
#3
Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Min Zhang, Teresa Wu, Fei Gao, Kevin M Bennett
Small structure segmentation from medical images is a challenging problem yet has important applications. Examples are labeling cell, lesion and glomeruli for disease diagnosis, just to name a few. Though extensive research has proposed various detectors for this type of problem, most are 2D detectors. Recently, we have developed a Hessian based 3D detector to segment small structures from medical images (e.g., MRI). In our detector, two 3D geometrical features: regional blobness and flatness, in conjunction with the intensity features are fully utilized to serve the segmentation purpose...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227429/characterization-of-normal-and-scarred-myocardium-based-on-texture-analysis-of-cardiac-computed-tomography-images
#4
S Antunes, A Esposito, A Palmisanov, C Colantoni, F de Cobelli, A Del Maschio, S Antunes, A Esposito, A Palmisanov, C Colantoni, F de Cobelli, A Del Maschio, A Del Maschio, C Colantoni, F De Cobelli, A Esposito, S Antunes
An accurate detection of myocardial scar using Cardiac CT may have a strong clinical impact; however, the main drawback is the insufficient contrast to noise ratio of delayed iodine enhanced (DIE) CT images, which makes its accurate segmentation (manual as well as automatic) difficult. In this work, we investigate texture parameters applied on the different scans in order to obtain the scans and features that best differentiates normal from scarred myocardium. The experiments on 7 cases of myocarditis show the accuracy of the parameter energy in all scans, as well as the good performance of the angiographic scan (having higher spatial resolution) with different parameters for the segmentation propose...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227398/radiomic-analysis-of-multi-contrast-brain-mri-for-the-prediction-of-survival-in-patients-with-glioblastoma-multiforme
#5
Ahmad Chaddad, Christian Desrosiers, Matthew Toews, Ahmad Chaddad, Christian Desrosiers, Matthew Toews, Christian Desrosiers, Ahmad Chaddad, Matthew Toews
Image texture features are effective at characterizing the microstructure of cancerous tissues. This paper proposes predicting the survival times of glioblastoma multiforme (GBM) patients using texture features extracted in multi-contrast brain MRI images. Texture features are derived locally from contrast enhancement, necrosis and edema regions in T1-weighted post-contrast and fluid-attenuated inversion-recovery (FLAIR) MRIs, based on the gray-level co-occurrence matrix representation. A statistical analysis based on the Kaplan-Meier method and log-rank test is used to identify the texture features related with the overall survival of GBM patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226735/texton-and-sparse-representation-based-texture-classification-of-lung-parenchyma-in-ct-images
#6
Jie Yang, Xinyang Feng, Elsa D Angelini, Andrew F Laine, Jie Yang, Xinyang Feng, Elsa D Angelini, Andrew F Laine, Xinyang Feng, Jie Yang, Elsa D Angelini, Andrew F Laine
Automated texture analysis of lung computed tomography (CT) images is a critical tool in subtyping pulmonary emphysema and diagnosing chronic obstructive pulmonary disease (COPD). Texton-based methods encode lung textures with nearest-texton frequency histograms, and have achieved high performance for supervised classification of emphysema subtypes from annotated lung CT images. In this work, we first explore characterizing lung textures with sparse decomposition from texton dictionaries, using different regularization strategies, and then extend the sparsity-inducing constraint to the construction of the dictionaries...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226734/prediction-of-malignant-and-benign-of-lung-tumor-using-a-quantitative-radiomic-method
#7
Jun Wang, Xia Liu, Di Dong, Jiangdian Song, Min Xu, Yali Zang, Jie Tian, Jun Wang, Xia Liu, Di Dong, Jiangdian Song, Min Xu, Yali Zang, Jie Tian, Min Xu, Jiangdian Song, Di Dong, Jie Tian, Jun Wang, Yali Zang, Xia Liu
Lung cancer is the leading cause of cancer mortality around the world, the early diagnosis of lung cancer plays a very important role in therapeutic regimen selection. However, lung cancers are spatially and temporally heterogeneous; this limits the use of invasive biopsy. But radiomics which refers to the comprehensive quantification of tumour phenotypes by applying a large number of quantitative image features has the ability to capture intra-tumoural heterogeneity in a non-invasive way. Here we carry out a radiomic analysis of 150 features quantifying lung tumour image intensity, shape and texture...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226681/thermal-analysis-of-multiple-antenna-excited-breast-model-for-breast-cancer-detection
#8
Yinan Li, Babak Fahimi, Yinan Li, Babak Fahimi, Babak Fahimi, Yinan Li
Infrared thermography (IRT), or thermal imaging has long been proposed as a novel method in early detection of breast cancer. Most of the work done was through the detection of abnormal hotspot, or asymmetries in a thermal texture map. However, the surface temperature may not appear symmetric even for a healthy breast because of variations in blood supply and individual differences. In this paper, a method that is independent of the aforementioned symmetry is proposed. The breast under detection is initially excited by a group of patch antennas...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28224325/comparison-of-contrast-enhanced-ct-and-18-f-fdg-pet-ct-analysis-using-kurtosis-and-skewness-in-patients-with-primary-colorectal-cancer
#9
Franca Wagner, Yahya Ali Hakami, Geoffrey Warnock, Gabriel Fischer, Martin W Huellner, Patrick Veit-Haibach
PURPOSE: Heterogeneity is a key feature of malignancy associated with adverse tumor biology. Texture analysis with different imaging modalities has been shown to reflect tumor heterogeneity. The current study analyzed and compared pre-treatment (contrast-enhanced) ceCT and positron emission tomography/computed tomography (PET/CT) tumor heterogeneity using the parameters skewness and kurtosis in patients with primary colorectal cancer with and without liver metastases. PROCEDURES: The histogram-derived texture parameters skewness and kurtosis were retrospectively analyzed obtained on PET/CT and ceCT images from 50 patients with histopathology proven primary colorectal cancer (32 patients without liver metastases and 18 with liver metastases)...
February 21, 2017: Molecular Imaging and Biology: MIB: the Official Publication of the Academy of Molecular Imaging
https://www.readbyqxmd.com/read/28222889/pre-cancer-risk-assessment-in-habitual-smokers-from-dic-images-of-oral-exfoliative-cells-using-active-contour-and-svm-analysis
#10
Susmita Dey, Ripon Sarkar, Kabita Chatterjee, Pallab Datta, Ananya Barui, Santi P Maity
Habitual smokers are known to be at higher risk for developing oral cancer, which is increasing at an alarming rate globally. Conventionally, oral cancer is associated with high mortality rates, although recent reports show the improved survival outcomes by early diagnosis of disease. An effective prediction system which will enable to identify the probability of cancer development amongst the habitual smokers, is thus expected to benefit sizable number of populations. Present work describes a non-invasive, integrated method for early detection of cellular abnormalities based on analysis of different cyto-morphological features of exfoliative oral epithelial cells...
February 9, 2017: Tissue & Cell
https://www.readbyqxmd.com/read/28221191/the-assessment-of-estrogen-receptor-status-and-its-intratumoral-heterogeneity-in-breast-cancer-patients-by-using-18-f-fluoroestradiol-pet-ct
#11
Zhongyi Yang, Yifei Sun, Xiaoping Xu, Yongping Zhang, Jianping Zhang, Jing Xue, Mingwei Wang, Huiyu Yuan, Silong Hu, Wei Shi, Beiling Zhu, Yingjian Zhang
AIM: The aim of this study was to investigate the clinical value of F-fluoroestradiol (F-FES) PET/CT in the assessment of the estrogen receptor (ER) and its intratumoral heterogeneity in breast cancer patients. METHODS: Forty-six female patients (50 lesions) with histologically confirmed invasive breast cancer who underwent both F-FES and F-FDG PET/CT in our center were retrospectively included. All the patients enrolled were scheduled to undergo biopsy. The F-FES and FDG uptakes were compared with pathological features (tumor size, ER, progesterone receptor, human epidermal growth factor receptor 2, and Ki67%)...
February 17, 2017: Clinical Nuclear Medicine
https://www.readbyqxmd.com/read/28220972/quantitative-distinction-of-the-morphological-characteristic-of-erythrocyte-precursor-cells-with-texture-analysis-using-gray-level-co-occurrence-matrix
#12
Keigo Kono, Ruka Hayata, Satoru Murakami, Mai Yamamoto, Maiko Kuroki, Kana Nanato, Kazuto Takahashi, Keiko Miwa, Yutaka Tsutsumi, Kazunori Okada, Sanae Kaga, Taisei Mikami, Nobuo Masauzi
BACKGROUND: Morphological characteristics of blood cells are still qualitatively defined. So a texture analysis (Tx) method using gray level co-occurrence matrices (GLCMs; CM-Tx method) was applied to images of erythrocyte precursor cells (EPCs) for quantitatively distinguishing four types of EPC stages: proerythroblast, basophilic erythroblast, polychromatic erythroblast, and orthochromatic erythroblast. METHODS: Fifty-five images of four types of EPCs were downloaded from an atlas uploaded by the Blood Cell Morphology Standardization Subcommittee (BCMSS) of the Japanese Society of Laboratory Hematology (JSLH)...
February 21, 2017: Journal of Clinical Laboratory Analysis
https://www.readbyqxmd.com/read/28219805/fusion-of-spatial-gray-level-dependency-and-fractal-texture-features-for-the-characterization-of-thyroid-lesions
#13
U Raghavendra, U Rajendra Acharya, Anjan Gudigar, Jen Hong Tan, Hamido Fujita, Yuki Hagiwara, Filippo Molinari, Pailin Kongmebhol, Kwan Hoong Ng
Thyroid is a small gland situated at the anterior side of the neck and one of the largest glands of the endocrine system. The abrupt cell growth or malignancy in the thyroid gland may cause thyroid cancer. Ultrasound images distinctly represent benign and malignant lesions, but accuracy may be poor due to subjective interpretation. Computer Aided Diagnosis (CAD) can minimize the errors created due to subjective interpretation and assists to make fast accurate diagnosis. In this work, fusion of Spatial Gray Level Dependence Features (SGLDF) and fractal textures are used to decipher the intrinsic structure of benign and malignant thyroid lesions...
February 6, 2017: Ultrasonics
https://www.readbyqxmd.com/read/28217825/preoperative-prediction-of-muscular-invasiveness-of-bladder-cancer-with-radiomic-features-on-conventional-mri-and-its-high-order-derivative-maps
#14
Xiaopan Xu, Yang Liu, Xi Zhang, Qiang Tian, Yuxia Wu, Guopeng Zhang, Jiang Meng, Zengyue Yang, Hongbing Lu
PURPOSE: To determine radiomic features which are capable of reflecting muscular invasiveness of bladder cancer (BC) and propose a non-invasive strategy for the differentiation of muscular invasiveness preoperatively. METHODS: Sixty-eight patients with clinicopathologically confirmed BC were included in this retrospective study. A total of 118 cancerous volumes of interest (VOI) were segmented from patients' T2 weighted MR images (T2WI), including 34 non-muscle invasive bladder carcinomas (NMIBCs, stage <T2) and 84 muscle invasive ones (MIBCs, stage ≥T2)...
February 20, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/28209428/an-artificial-intelligence-based-improved-classification-of-two-phase-flow-patterns-with-feature-extracted-from-acquired-images
#15
C Shanthi, N Pappa
Flow pattern recognition is necessary to select design equations for finding operating details of the process and to perform computational simulations. Visual image processing can be used to automate the interpretation of patterns in two-phase flow. In this paper, an attempt has been made to improve the classification accuracy of the flow pattern of gas/ liquid two- phase flow using fuzzy logic and Support Vector Machine (SVM) with Principal Component Analysis (PCA). The videos of six different types of flow patterns namely, annular flow, bubble flow, churn flow, plug flow, slug flow and stratified flow are recorded for a period and converted to 2D images for processing...
February 13, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28196476/automatic-mri-segmentation-of-para-pharyngeal-fat-pads-using-interactive-visual-feature-space-analysis-for-classification
#16
Muhammad Laiq Ur Rahman Shahid, Teodora Chitiboi, Tetyana Ivanovska, Vladimir Molchanov, Henry Völzke, Lars Linsen
BACKGROUND: Obstructive sleep apnea (OSA) is a public health problem. Detailed analysis of the para-pharyngeal fat pads can help us to understand the pathogenesis of OSA and may mediate the intervention of this sleeping disorder. A reliable and automatic para-pharyngeal fat pads segmentation technique plays a vital role in investigating larger data bases to identify the anatomic risk factors for the OSA. METHODS: Our research aims to develop a context-based automatic segmentation algorithm to delineate the fat pads from magnetic resonance images in a population-based study...
February 14, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28190856/virilism-and-ectopic-expression-of-hsd17b5-in-mature-cystic-teratoma
#17
Yohei Kawaguchi, Hiroko Mizuno, Mai Horikawa, Mayuko Kano, Kengo Yamada, Fumiko Yamakawa, Takashi Maekawa, Yuto Yamazaki, Keely M McNamara, Hironobu Sasano, Masayuki Hayashi
Mature cystic teratoma (MCT) is rarely involved in the overproduction of steroid hormones in contrast to sex cord stromal tumors. A 31-year-old woman visited our hospital with hirsutism, hoarseness, and hair loss from the scalp. Serum testosterone and free-testosterone levels were 7.3 ng/ml and 2.3 pg/ml, respectively, which were markedly in excess of the age adjusted female standard levels. Basal blood levels of steroid hormones and serum levels of 17-hydroxyprogesterone at 1 h after intravenous injection of adrenocorticotropic hormone demonstrated that 21-hydroxylase deficiency was not the underlying cause of her virilization...
2017: Tohoku Journal of Experimental Medicine
https://www.readbyqxmd.com/read/28187891/automated-classification-of-maxillofacial-cysts-in-cone-beam-ct-images-using-contourlet-transformation-and-spherical-harmonics
#18
Fatemeh Abdolali, Reza Aghaeizadeh Zoroofi, Yoshito Otake, Yoshinobu Sato
BACKGROUND AND OBJECTIVE: Accurate detection of maxillofacial cysts is an essential step for diagnosis, monitoring and planning therapeutic intervention. Cysts can be of various sizes and shapes and existing detection methods lead to poor results. Customizing automatic detection systems to gain sufficient accuracy in clinical practice is highly challenging. For this purpose, integrating the engineering knowledge in efficient feature extraction is essential. METHODS: This paper presents a novel framework for maxillofacial cysts detection...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28186892/image-quality-assessment-using-directional-anisotropy-structure-measurement
#19
Li Ding, Hua Huang, Yu Zang
Image quality assessment models prefer an effective visual feature to perceive image quality. Structure-based image quality metrics have verified that a measure of structural information change can provide a good approximation to perceived image distortion. Furthermore, psychological studies have suggested that human beings awareness on image structures is perception-driven and the human visual system (HVS) is more sensitive to the distortion on dominant structures rather than on minor textures. Accordingly, the image distortion can be perceived well by measuring the information loss of the dominant structures...
February 8, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28186890/3-d-solid-texture-classification-using-locally-oriented-wavelet-transforms
#20
Yashin Dicente Cid, Henning Muller, Alexandra Platon, Pierre Poletti, Adrien Depeursinge
Many image acquisition techniques used in biomedical imaging, material analysis, and structural geology are capable of acquiring 3-D solid images. Computational analysis of these images is complex but necessary since it is difficult for humans to visualize and quantify their detailed 3-D content. One of the most common methods to analyze 3-D data is to characterize the volumetric texture patterns. Texture analysis generally consists of encoding the local organization of image scales and directions, which can be extremely diverse in 3-D...
February 6, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
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