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Image Texture Analysis

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https://www.readbyqxmd.com/read/28815452/-18-f-fdg-pet-radiomics-approaches-comparing-and-clustering-features-in-cervical-cancer
#1
Tetsuya Tsujikawa, Tasmiah Rahman, Makoto Yamamoto, Shizuka Yamada, Hideaki Tsuyoshi, Yasushi Kiyono, Hirohiko Kimura, Yoshio Yoshida, Hidehiko Okazawa
OBJECTIVES: The aims of our study were to find the textural features on (18)F-FDG PET/CT which reflect the different histological architectures between cervical cancer subtypes and to make a visual assessment of the association between (18)F-FDG PET textural features in cervical cancer. METHODS: Eighty-three cervical cancer patients [62 squamous cell carcinomas (SCCs) and 21 non-SCCs (NSCCs)] who had undergone pretreatment (18)F-FDG PET/CT were enrolled. A texture analysis was performed on PET/CT images, from which 18 PET radiomics features were extracted including first-order features such as standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG), second- and high-order textural features using SUV histogram, normalized gray-level co-occurrence matrix (NGLCM), and neighborhood gray-tone difference matrix, respectively...
August 16, 2017: Annals of Nuclear Medicine
https://www.readbyqxmd.com/read/28815426/identification-and-red-blood-cell-automated-counting-from-blood-smear-images-using-computer-aided-system
#2
Vasundhara Acharya, Preetham Kumar
Red blood cell count plays a vital role in identifying the overall health of the patient. Hospitals use the hemocytometer to count the blood cells. Conventional method of placing the smear under microscope and counting the cells manually lead to erroneous results, and medical laboratory technicians are put under stress. A computer-aided system will help to attain precise results in less amount of time. This research work proposes an image-processing technique for counting the number of red blood cells. It aims to examine and process the blood smear image, in order to support the counting of red blood cells and identify the number of normal and abnormal cells in the image automatically...
August 17, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28813867/therapeutic-effects-of-anti-gravity-treadmill-alterg-training-on-reflex-hyper-excitability-corticospinal-tract-activities-and-muscle-stiffness-in-children-with-cerebral-palsy
#3
Sh Parvin, A Taghiloo, A Irani, M Mehdi Mirbagheri
We aimed to study therapeutic effects of antigravity treadmill (AlterG) training on reflex hyper-excitability, muscle stiffness, and corticospinal tract (CST) function in children with spastic hemiplegic cerebral palsy (CP). Three children received AlterG training 3 days per week for 8 weeks as experimental group. Each session lasted 45 minutes. One child as control group received typical occupational therapy for the same amount of time. We evaluated hyper-excitability of lower limb muscles by H-reflex response...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813195/prediction-of-therapeutic-response-of-hepatocellular-carcinoma-to-transcatheter-arterial-chemoembolization-based-on-pretherapeutic-dynamic-ct-and-textural-findings
#4
Hyun Jeong Park, Jung Hoon Kim, Seo-Youn Choi, Eun Sun Lee, Sang Joon Park, Jae Young Byun, Byung Ihn Choi
OBJECTIVE: The objective of our study was to assess the value of CT texture analysis for prediction of therapeutic response of hepatocellular carcinoma (HCC) to transcatheter arterial chemoembolization (TACE) with pretherapeutic dynamic CT. MATERIALS AND METHODS: We retrospectively analyzed 132 HCCs in 96 patients treated with TACE who underwent dynamic CT before initial TACE. Imaging findings and arterial enhancement ratios were analyzed. All HCCs were manually segmented, and their texture features were quantitatively extracted using in-house software...
August 16, 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/28807589/differences-in-texture-analysis-parameters-between-active-alveolitis-and-lung-fibrosis-in-chest-ct-of-patients-with-systemic-sclerosis-a-feasibility-study
#5
Christopher Kloth, Anya C Blum, Wolfgang M Thaiss, Heike Preibsch, Hendrik Ditt, Rainer Grimmer, Jan Fritz, Konstantin Nikolaou, Hans Bösmüller, Marius Horger
RATIONALE AND OBJECTIVES: This study aimed to determine the diagnostic aid of computed tomography (CT) features for the differentiation of active alveolitis and fibrosis using a CT texture analysis (CTTA) prototype and CT densitometry in patients with systemic sclerosis (SSc) using ancillary high-resolution computed tomography (HRCT) features and their longitudinal course as standard of reference. MATERIALS AND METHODS: We retrospectively analyzed thin-slice noncontrast chest CT image data of 43 patients with SSc (18 men, mean age 51...
August 11, 2017: Academic Radiology
https://www.readbyqxmd.com/read/28802329/skin-lesion-computational-diagnosis-of-dermoscopic-images-ensemble-models-based-on-input-feature-manipulation
#6
Roberta B Oliveira, Aledir S Pereira, João Manuel R S Tavares
BACKGROUND AND OBJECTIVES: The number of deaths worldwide due to melanoma has risen in recent times, in part because melanoma is the most aggressive type of skin cancer. Computational systems have been developed to assist dermatologists in early diagnosis of skin cancer, or even to monitor skin lesions. However, there still remains a challenge to improve classifiers for the diagnosis of such skin lesions. The main objective of this article is to evaluate different ensemble classification models based on input feature manipulation to diagnose skin lesions...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28801168/please-don-t-move-evaluating-motion-artifact-from-peripheral-quantitative-computed-tomography-scans-using-textural-features
#7
Timo Rantalainen, Paola Chivers, Belinda R Beck, Sam Robertson, Nicolas H Hart, Sophia Nimphius, Benjamin K Weeks, Fleur McIntyre, Beth Hands, Aris Siafarikas
Most imaging methods, including peripheral quantitative computed tomography (pQCT), are susceptible to motion artifacts particularly in fidgety pediatric populations. Methods currently used to address motion artifact include manual screening (visual inspection) and objective assessments of the scans. However, previously reported objective methods either cannot be applied on the reconstructed image or have not been tested for distal bone sites. Therefore, the purpose of the present study was to develop and validate motion artifact classifiers to quantify motion artifact in pQCT scans...
August 8, 2017: Journal of Clinical Densitometry
https://www.readbyqxmd.com/read/28797713/image-processing-methods-for-the-structural-detection-and-gradation-of-placental-villi
#8
Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Robert Koktysz, Szczepan Cierniak
The context-based examination of stained tissue specimens is one of the most important procedures in histopathological practice. The development of image processing methods allows for the automation of this process. We propose a method of automatic segmentation of placental structures and assessment of edema present in placental structures from a spontaneous miscarriage. The presented method is based on texture analysis, mathematical morphology, and region growing operations that are applicable to the heterogeneous microscopic images representing histological slides of the placenta...
August 3, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28797063/ct-texture-analysis-in-patients-with-locally-advanced-rectal-cancer-treated-with-neoadjuvant-chemoradiotherapy-a-potential-imaging-biomarker-for-treatment-response-and-prognosis
#9
Choong Guen Chee, Young Hoon Kim, Kyoung Ho Lee, Yoon Jin Lee, Ji Hoon Park, Hye Seung Lee, Soyeon Ahn, Bohyoung Kim
PURPOSE: To evaluate the association of computed tomography (CT) texture features of locally advanced rectal cancer with neoadjuvant chemoradiotherapy (CRT) response and disease-free survival (DFS). METHODS AND FINDINGS: The institutional review board approved this retrospective study. 95 patients who received neoadjuvant CRT, followed by surgery, for locally advanced rectal cancer were included. Texture features (entropy, uniformity, kurtosis, skewness, and standard deviation) were assessed in pretreatment CT images and obtained without filtration and with Laplacian of Gaussian spatial filter of various filter values (1...
2017: PloS One
https://www.readbyqxmd.com/read/28789867/malignant-pleural-mesothelioma-segmentation-for-photodynamic-therapy-planning
#10
Wael Brahim, Makram Mestiri, Nacim Betrouni, Kamel Hamrouni
Medical imaging modalities such as computed tomography (CT) combined with computer-aided diagnostic processing have already become important part of clinical routine specially for pleural diseases. The segmentation of the thoracic cavity represents an extremely important task in medical imaging for different reasons. Multiple features can be extracted by analyzing the thoracic cavity space and these features are signs of pleural diseases including the malignant pleural mesothelioma (MPM) which is the main focus of our research...
July 26, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/28789608/blood-oxygen-level-dependent-magnetic-resonance-imaging-for-detecting-pathological-patterns-in-patients-with-lupus-nephritis-a-preliminary-study-using-gray-level-co-occurrence-matrix-analysis
#11
Huilan Shi, Junya Jia, Dong Li, Li Wei, Wenya Shang, Zhenfeng Zheng
Objective Blood oxygen level-dependent magnetic resonance imaging (BOLD MRI) is a noninvasive technique useful in patients with renal disease. The current study was performed to determine whether BOLD MRI can contribute to the diagnosis of renal pathological patterns. Methods BOLD MRI was used to obtain functional magnetic resonance parameter R2* values. Gray-level co-occurrence matrixes (GLCMs) were generated for gray-scale maps. Several GLCM parameters were calculated and used to construct algorithmic models for renal pathological patterns...
January 1, 2017: Journal of International Medical Research
https://www.readbyqxmd.com/read/28780746/normative-values-for-ct-based-texture-analysis-of-vertebral-bodies-in-dual-x-ray-absorptiometry-confirmed-normally-mineralized-subjects
#12
Manoj Mannil, Matthias Eberhard, Anton S Becker, Denise Schönenberg, Georg Osterhoff, Diana P Frey, Ender Konukoglu, Hatem Alkadhi, Roman Guggenberger
OBJECTIVES: To develop age-, gender-, and regional-specific normative values for texture analysis (TA) of spinal computed tomography (CT) in subjects with normal bone mineral density (BMD), as defined by dual X-ray absorptiometry (DXA), and to determine age-, gender-, and regional-specific differences. MATERIALS AND METHODS: In this retrospective, IRB-approved study, TA was performed on sagittal CT bone images of the thoracic and lumbar spine using dedicated software (MaZda) in 141 individuals with normal DXA BMD findings...
August 6, 2017: Skeletal Radiology
https://www.readbyqxmd.com/read/28776575/an-oral-cavity-squamous-cell-carcinoma-quantitative-histomorphometric-based-image-classifier-of-nuclear-morphology-can-risk-stratify-patients-for-disease-specific-survival
#13
Cheng Lu, James S Lewis, William D Dupont, W Dale Plummer, Andrew Janowczyk, Anant Madabhushi
Oral cavity squamous cell carcinoma is the most common type of head and neck carcinoma. Its incidence is increasing worldwide, and it is associated with major morbidity and mortality. It is often unclear which patients have aggressive, treatment refractory tumors vs those whose tumors will be more responsive to treatment. Better identification of patients with high- vs low-risk cancers could help provide more tailored treatment approaches and could improve survival rates while decreasing treatment-related morbidity...
August 4, 2017: Modern Pathology: An Official Journal of the United States and Canadian Academy of Pathology, Inc
https://www.readbyqxmd.com/read/28773080/estimation-of-articular-cartilage-surface-roughness-using-gray-level-co-occurrence-matrix-of-laser-speckle-image
#14
Doaa Youssef, Hatem El-Ghandoor, Hamed Kandel, Jala El-Azab, Salah Hassab-Elnaby
The application of He-Ne laser technologies for description of articular cartilage degeneration, one of the most common diseases worldwide, is an innovative usage of these technologies used primarily in material engineering. Plain radiography and magnetic resonance imaging are insufficient to allow the early assessment of the disease. As surface roughness of articular cartilage is an important indicator of articular cartilage degeneration progress, a safe and noncontact technique based on laser speckle image to estimate the surface roughness is provided...
June 28, 2017: Materials
https://www.readbyqxmd.com/read/28769863/application-of-texture-analysis-to-study-small-vessel-disease-and-blood-brain-barrier-integrity
#15
Maria Del C Valdés Hernández, Victor González-Castro, Francesca M Chappell, Eleni Sakka, Stephen Makin, Paul A Armitage, William H Nailon, Joanna M Wardlaw
OBJECTIVES: We evaluate the alternative use of texture analysis for evaluating the role of blood-brain barrier (BBB) in small vessel disease (SVD). METHODS: We used brain magnetic resonance imaging from 204 stroke patients, acquired before and 20 min after intravenous gadolinium administration. We segmented tissues, white matter hyperintensities (WMH) and applied validated visual scores. We measured textural features in all tissues pre- and post-contrast and used ANCOVA to evaluate the effect of SVD indicators on the pre-/post-contrast change, Kruskal-Wallis for significance between patient groups and linear mixed models for pre-/post-contrast variations in cerebrospinal fluid (CSF) with Fazekas scores...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28768053/textural-pattern-classification-for-oral-squamous-cell-carcinoma
#16
T Y Rahman, L B Mahanta, C Chakraborty, A K DAS, J D Sarma
Despite being an area of cancer with highest worldwide incidence, oral cancer yet remains to be widely researched. Studies on computer-aided analysis of pathological slides of oral cancer contribute a lot to the diagnosis and treatment of the disease. Some researches in this direction have been carried out on oral submucous fibrosis. In this work an approach for analysing abnormality based on textural features present in squamous cell carcinoma histological slides have been considered. Histogram and grey-level co-occurrence matrix approaches for extraction of textural features from biopsy images with normal and malignant cells are used here...
August 2, 2017: Journal of Microscopy
https://www.readbyqxmd.com/read/28767372/texture-classification-and-visualization-of-time-series-of-gait-dynamics-in-patients-with-neuro-degenerative-diseases
#17
Tuan D Pham
The analysis of gait dynamics is helpful for predicting and improving the quality of life, morbidity, and mortality in neuro-degenerative patients. Feature extraction of physiological time series and classification between gait patterns of healthy control subjects and patients are usually carried out on the basis of one-dimensional signal analysis. The proposed approach presented in this paper departs itself from conventional methods for gait analysis by transforming time series into images, of which texture features can be extracted from methods of texture analysis...
July 27, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28766979/pancreatic-neuroendocrine-tumor-prediction-of-the-tumor-grade-using-ct-findings-and-computerized-texture-analysis
#18
Tae Won Choi, Jung Hoon Kim, Mi Hye Yu, Sang Joon Park, Joon Koo Han
Background Pancreatic neuroendocrine tumors (PNET) include heterogeneous tumors with a variable degree of inherent biologic aggressiveness represented by the histopathologic grade. Although several studies investigated the computed tomography (CT) characteristics which can predict the histopathologic grade of PNET, accurate prediction of the PNET grade by CT examination alone is still limited. Purpose To investigate the important CT findings and CT texture variables for prediction of grade of PNET. Material and Methods Sixty-six patients with pathologically confirmed PNETs (grade 1 = 45, grades 2/3 = 21) underwent preoperative contrast-enhanced CT...
January 1, 2017: Acta Radiologica
https://www.readbyqxmd.com/read/28763760/mineralogy-and-textures-of-riebeckitic-asbestos-crocidolite-the-role-of-single-versus-agglomerated-fibres-in-toxicological-experiments
#19
Seydou Yao, Gianluca Iezzi, Giancarlo Della Ventura, Fabio Bellatreccia, Cyril Petibois, Augusto Marcelli, Manuela Nazzari, Francesco Lazzarin, Mario Di Gioacchino, Claudia Petrarca
Asbestos may cause adverse effects, but relationship between mineralogy and texture of fibres versus toxicity is still lacking. Toxicological studies can be interpreted and compared only if quantitative features of fibres are determined. Here, riebeckitic ("crocidolite") amphibole fibres were analysed by XRPD, FTIR, SEM-EDS and EMP-WDS; only crystals with stochiometry (A□B)Na2(C)(Fe(2+)2.5Mg0.5)(C)Fe(3+)2(T)Si8O22(W)(OH)2 are present in the starting material used for the experiments. Fibres deposited from solutions of 0...
July 15, 2017: Journal of Hazardous Materials
https://www.readbyqxmd.com/read/28755054/mri-features-can-predict-egfr-expression-in-lower-grade-gliomas-a-voxel-based-radiomic-analysis
#20
Yiming Li, Xing Liu, Kaibin Xu, Zenghui Qian, Kai Wang, Xing Fan, Shaowu Li, Yinyan Wang, Tao Jiang
OBJECTIVE: To identify the magnetic resonance imaging (MRI) features associated with epidermal growth factor (EGFR) expression level in lower grade gliomas using radiomic analysis. METHODS: 270 lower grade glioma patients with known EGFR expression status were randomly assigned into training (n=200) and validation (n=70) sets, and were subjected to feature extraction. Using a logistic regression model, a signature of MRI features was identified to be predictive of the EGFR expression level in lower grade gliomas in the training set, and the accuracy of prediction was assessed in the validation set...
July 28, 2017: European Radiology
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