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Image Texture Analysis

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https://www.readbyqxmd.com/read/29140606/mr-textural-analysis-on-t2-flair-images-for-the-prediction-of-true-oligodendroglioma-by-the-2016-who-genetic-classification
#1
Wenting Rui, Yan Ren, Yin Wang, Xinyi Gao, Xiao Xu, Zhenwei Yao
BACKGROUND: The genetic status of 1p/19q is important for differentiating oligodendroglioma, isocitrate-dehydrogenase (IDH)-mutant, and 1p/19q-codeleted from diffuse astrocytoma, IDH-mutant according to the 2016 World Health Organization (WHO) criteria. PURPOSE: To assess the value of magnetic resonance textural analysis (MRTA) on T2 fluid-attenuated inversion recovery (FLAIR) images for making a genetically integrated diagnosis of true oligodendroglioma by WHO guidelines...
November 15, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29140113/prediction-of-pancreatic-neuroendocrine-tumor-grade-based-on-ct-features-and-texture-analysis
#2
Rodrigo Canellas, Kristine S Burk, Anushri Parakh, Dushyant V Sahani
OBJECTIVE: The purposes of this study were to assess whether CT texture analysis and CT features are predictive of pancreatic neuroendocrine tumor (PNET) grade based on the World Health Organization (WHO) classification and to identify features related to disease progression after surgery. MATERIALS AND METHODS: Preoperative contrast-enhanced CT images of 101 patients with PNETs were assessed. The images were evaluated for tumor location, tumor size, tumor pattern, predominantly solid or cystic composition, presence of calcification, presence of heterogeneous enhancement on contrast-enhanced images, presence of pancreatic duct dilatation, presence of pancreatic atrophy, presence of vascular involvement by the tumor, and presence of lymphadenopathy...
November 15, 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/29134348/machine-learning-based-quantitative-texture-analysis-of-ct-images-of-small-renal-masses-differentiation-of-angiomyolipoma-without-visible-fat-from-renal-cell-carcinoma
#3
Zhichao Feng, Pengfei Rong, Peng Cao, Qingyu Zhou, Wenwei Zhu, Zhimin Yan, Qianyun Liu, Wei Wang
OBJECTIVE: To evaluate the diagnostic performance of machine-learning based quantitative texture analysis of CT images to differentiate small (≤ 4 cm) angiomyolipoma without visible fat (AMLwvf) from renal cell carcinoma (RCC). METHODS: This single-institutional retrospective study included 58 patients with pathologically proven small renal mass (17 in AMLwvf and 41 in RCC groups). Texture features were extracted from the largest possible tumorous regions of interest (ROIs) by manual segmentation in preoperative three-phase CT images...
November 13, 2017: European Radiology
https://www.readbyqxmd.com/read/29134191/assessing-treatment-response-in-triple-negative-breast-cancer-from-quantitative-image-analysis-in-perfusion-magnetic-resonance-imaging
#4
Imon Banerjee, Sadhika Malladi, Daniela Lee, Adrien Depeursinge, Melinda Telli, Jafi Lipson, Daniel Golden, Daniel L Rubin
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is sensitive but not specific to determining treatment response in early stage triple-negative breast cancer (TNBC) patients. We propose an efficient computerized technique for assessing treatment response, specifically the residual tumor (RT) status and pathological complete response (pCR), in response to neoadjuvant chemotherapy. The proposed approach is based on Riesz wavelet analysis of pharmacokinetic maps derived from noninvasive DCE-MRI scans, obtained before and after treatment...
January 2018: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29130323/analysis-a-step-toward-standardizing-diabetic-foot-images
#5
Piotr Ladyzynski
In this issue of Journal of Diabetes Science and Technology Yap and coauthors report on the design and present results from a reliability study of the application called FootSnap that is intended for standardization of the distance and the orientation of the camera relative to the diabetic foot that is photographed. To produce standardized photographs FootSnap uses a straightforward, yet original and useful method. However, other systems have been reported and clinically tested earlier, in which the same parameters of foot images might be standardized and which are free of some limitations of FootSnap...
November 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/29128993/pancreatic-adenocarcinoma-cross-sectional-imaging-techniques
#6
Naveen M Kulkarni, David M Hough, Parag P Tolat, Erik V Soloff, Avinash R Kambadakone
Pancreatic adenocarcinoma is a common malignancy that has a poor prognosis. Imaging is vital in its detection, staging, and management. Although a variety of imaging techniques are available, MDCT is the preferred imaging modality for staging and assessing the resectability of pancreatic adenocarcinoma. MR also has an important adjunct role, and may be used in addition to CT or as a problem-solving tool. A dedicated pancreatic protocol should be acquired as a biphasic technique optimized for the detection of pancreatic adenocarcinoma and to allow accurate local and distant disease staging...
November 11, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/29126070/deep-neural-networks-for-texture-classification-a-theoretical-analysis
#7
Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna Nemani, Shreekant Gayaka
We investigate the use of Deep Neural Networks for the classification of image datasets where texture features are important for generating class-conditional discriminative representations. To this end, we first derive the size of the feature space for some standard textural features extracted from the input dataset and then use the theory of Vapnik-Chervonenkis dimension to show that hand-crafted feature extraction creates low-dimensional representations which help in reducing the overall excess error rate...
October 23, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29124453/a-machine-learning-ensemble-classifier-for-early-prediction-of-diabetic-retinopathy
#8
Somasundaram S K, Alli P
The main complication of diabetes is Diabetic retinopathy (DR), retinal vascular disease and it leads to the blindness. Regular screening for early DR disease detection is considered as an intensive labor and resource oriented task. Therefore, automatic detection of DR diseases is performed only by using the computational technique is the great solution. An automatic method is more reliable to determine the presence of an abnormality in Fundus images (FI) but, the classification process is poorly performed...
November 9, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29119525/haralick-s-texture-features-for-the-prediction-of-response-to-therapy-in-colorectal-cancer-a-preliminary-study
#9
Damiano Caruso, Marta Zerunian, Maria Ciolina, Domenico de Santis, Marco Rengo, Mumtaz H Soomro, Gaetano Giunta, Silvia Conforto, Maurizio Schmid, Emanuele Neri, Andrea Laghi
PURPOSE: Haralick features Texture analysis is a recent oncologic imaging biomarker used to assess quantitatively the heterogeneity within a tumor. The aim of this study is to evaluate which Haralick's features are the most feasible in predicting tumor response to neoadjuvant chemoradiotherapy (CRT) in colorectal cancer. MATERIALS AND METHODS: After MRI and histological assessment, eight patients were enrolled and divided into two groups based on response to neoadjuvant CRT in complete responders (CR) and non-responders (NR)...
November 8, 2017: La Radiologia Medica
https://www.readbyqxmd.com/read/29112948/using-quantitative-features-extracted-from-t2-weighted-mri-to-improve-breast-mri-computer-aided-diagnosis-cad
#10
Cristina Gallego-Ortiz, Anne L Martel
Computer-aided diagnosis (CAD) has been proposed for breast MRI as a tool to standardize evaluation, to automate time-consuming analysis, and to aid the diagnostic decision process by radiologists. T2w MRI findings are diagnostically complementary to T1w DCE-MRI findings in the breast and prior research showed that measuring the T2w intensity of a lesion relative to a tissue of reference improves diagnostic accuracy. The diagnostic value of this information in CAD has not been yet quantified. This study proposes an automatic method of assessing relative T2w lesion intensity without the need to select a reference region...
2017: PloS One
https://www.readbyqxmd.com/read/29112637/improving-ultrasound-detection-of-uterine-adenomyosis-through-computational-texture-analysis
#11
Joseph Konrad, Derek Merck, Jie Ying Wu, Adam Tuomi, Michael Beland
The purpose of our study was to determine if a textural analysis metric can be implemented to improve diagnosis of adenomyosis by ultrasound.We retrospectively identified 38 patients with a magnetic resonance imaging (MRI) diagnosis of uterine adenomyosis that also had a pelvic ultrasound within 6 months. We also identified 50 normal pelvic ultrasound examinations confirmed by a normal pelvic MRI within 6 months as a control group. A region of interest (ROI) was subsequently placed on the study population ultrasound image corresponding to the area of adenomyosis on MRI...
November 6, 2017: Ultrasound Quarterly
https://www.readbyqxmd.com/read/29111567/a-computer-vision-for-animal-ecology
#12
REVIEW
Ben G Weinstein
1.A central goal of animal ecology is to observe species in the natural world. The cost and challenge of data collection often limit the breadth and scope of ecological study. Ecologists often use image capture to bolster data collection in time and space. However, the ability to process these images remains a bottleneck. 2.Computer vision can greatly increase the efficiency, repeatability, and accuracy of image review. Computer vision uses image features, such as color, shape, and texture to infer image content...
November 7, 2017: Journal of Animal Ecology
https://www.readbyqxmd.com/read/29106312/nitrogen-concentrations-and-isotopic-compositions-of-seafloor-altered-terrestrial-basaltic-glass-implications-for-astrobiology
#13
G E Bebout, N R Banerjee, M R M Izawa, K Kobayashi, K Lazzeri, L A Ranieri, E Nakamura
Observed enrichments of N (and the δ(15)N of this N) in volcanic glasses altered on Earth's modern and ancient seafloor are relevant in considerations of modern global N subduction fluxes and ancient life on Earth, and similarly altered glasses on Mars and other extraterrestrial bodies could serve as valuable tracers of biogeochemical processes. Palagonitized glasses and whole-rock samples of volcanic rocks on the modern seafloor (ODP Site 1256D) contain 3-18 ppm N with δ(15)Nair values of up to +4.5‰...
November 6, 2017: Astrobiology
https://www.readbyqxmd.com/read/29104734/monitoring-kidney-microanatomy-changes-during-ischemia-reperfusion-process-using-texture-analysis-of-oct-images
#14
Zhifang Li, Qinggong Tang, Lili Jin, Peter M Andrews, Yu Chen
kidney ischemia-reperfusion (I/R) accounts for the majority of acute kidney injury cases, whose consequences are commonly encountered after kidney transplantation. Optical coherence tomography (OCT) has been applied to image changes in kidney microanatomy and microcirculation. In this paper, we demonstrate a quantitative method for monitoring kidney status during ischemia-reperfusion process using texture properties of OCT images. This approach employs skewness to measure the distribution of en face OCT image intensities at different depths, thus allowing differentiating ischemia-reperfusion status of kidney...
April 2017: IEEE Photonics Journal
https://www.readbyqxmd.com/read/29098300/-ultrasound-of-muscular-diseases-in-children-and-adolescents
#15
REVIEW
L von Rohden, Julian H W Jürgens
BACKGROUND: The increasing number of treatable hereditary neuromuscular diseases in children requires a diagnostic tool that can quickly, safely, and noninvasively identify affected patients directly after birth or when showing initial clinical symptoms. With clinical analysis alone, this is very difficult. IMAGING MODALITY: Near-field sonography of skeletal muscles has gradually become established as a successful method over the last 35 years. METHODOLOGICAL INNOVATIONS: Examination is performed using a strictly standardized protocol in isotopic muscle regions and with standardized sections and application parameters...
November 2, 2017: Der Radiologe
https://www.readbyqxmd.com/read/29095833/texture-analysis-of-acute-myocardial-infarction-with-ct-first-experience-study
#16
Ricarda Hinzpeter, Matthias W Wagner, Moritz C Wurnig, Burkhardt Seifert, Robert Manka, Hatem Alkadhi
OBJECTIVE: To investigate the feasibility and accuracy of texture analysis to distinguish through objective and quantitative image information between healthy and infarcted myocardium with computed tomography (CT). MATERIALS AND METHODS: Twenty patients (5 females; mean age 56±10years) with proven acute myocardial infarction (MI) and 20 patients (8 females; mean age 42±15years) with no cardiac abnormalities (hereafter termed controls) underwent contrast-enhanced cardiac CT...
2017: PloS One
https://www.readbyqxmd.com/read/29092946/a-containerized-software-system-for-generation-management-and-exploration-of-features-from-whole-slide-tissue-images
#17
Joel Saltz, Ashish Sharma, Ganesh Iyer, Erich Bremer, Feiqiao Wang, Alina Jasniewski, Tammy DiPrima, Jonas S Almeida, Yi Gao, Tianhao Zhao, Mary Saltz, Tahsin Kurc
Well-curated sets of pathology image features will be critical to clinical studies that aim to evaluate and predict treatment responses. Researchers require information synthesized across multiple biological scales, from the patient to the molecular scale, to more effectively study cancer. This article describes a suite of services and web applications that allow users to select regions of interest in whole slide tissue images, run a segmentation pipeline on the selected regions to extract nuclei and compute shape, size, intensity, and texture features, store and index images and analysis results, and visualize and explore images and computed features...
November 1, 2017: Cancer Research
https://www.readbyqxmd.com/read/29091314/variable-angle-gray-level-co-occurrence-matrix-analysis-of-t2-relaxation-time-maps-reveals-degenerative-changes-of-cartilage-in-knee-osteoarthritis-oulu-knee-osteoarthritis-study
#18
Arttu Peuna, Joonas Hekkala, Marianne Haapea, Jana Podlipská, Ali Guermazi, Simo Saarakkala, Miika T Nieminen, Eveliina Lammentausta
BACKGROUND: Texture analysis methods based on gray level co-occurrence matrices (GLCM) can be optimized to probe the spatial correspondence information from knee MRI T2 maps and the changes caused by osteoarthritis, and thus possibly leading to a more sensitive characterization of osteoarthritic cartilage. Curvature of the cartilage surfaces combined with the low image resolution in relation to cartilage thickness set special requirements for an effective texture analysis tool. PURPOSE/HYPOTHESIS: To introduce a novel implementation of GLCM algorithm optimized for cartilage texture analysis; to evaluate the performance of the designed algorithm against mean T2 relaxation time analysis; and to identify the most suitable texture features for discerning osteoarthritic subjects and asymptomatic controls...
November 1, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29077737/a-medical-imaging-analysis-system-for-trigger-finger-using-an-adaptive-texture-based-active-shape-model-atasm-in-ultrasound-images
#19
Bo-I Chuang, Li-Chieh Kuo, Tai-Hua Yang, Fong-Chin Su, I-Ming Jou, Wei-Jr Lin, Yung-Nien Sun
Trigger finger has become a prevalent disease that greatly affects occupational activity and daily life. Ultrasound imaging is commonly used for the clinical diagnosis of trigger finger severity. Due to image property variations, traditional methods cannot effectively segment the finger joint's tendon structure. In this study, an adaptive texture-based active shape model method is used for segmenting the tendon and synovial sheath. Adapted weights are applied in the segmentation process to adjust the contribution of energy terms depending on image characteristics at different positions...
2017: PloS One
https://www.readbyqxmd.com/read/29077040/fast-detection-of-striped-stem-borer-chilo-suppressalis-walker-infested-rice-seedling-based-on-visible-near-infrared-hyperspectral-imaging-system
#20
Yangyang Fan, Tao Wang, Zhengjun Qiu, Jiyu Peng, Chu Zhang, Yong He
Striped stem-borer (SSB) infestation is one of the most serious sources of damage to rice growth. A rapid and non-destructive method of early SSB detection is essential for rice-growth protection. In this study, hyperspectral imaging combined with chemometrics was used to detect early SSB infestation in rice and identify the degree of infestation (DI). Visible/near-infrared hyperspectral images (in the spectral range of 380 nm to 1030 nm) were taken of the healthy rice plants and infested rice plants by SSB for 2, 4, 6, 8 and 10 days...
October 27, 2017: Sensors
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