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Image Texture Analysis

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https://www.readbyqxmd.com/read/28339588/mri-features-predict-survival-and-molecular-markers-in-diffuse-lower-grade-gliomas
#1
Hao Zhou, Martin Vallières, Harrison X Bai, Chang Su, Haiyun Tang, Derek Oldridge, Zishu Zhang, Bo Xiao, Weihua Liao, Yongguang Tao, Jianhua Zhou, Paul Zhang, Li Yang
Background.: Previous studies have shown that MR imaging features can be used to predict survival and molecular profile of glioblastoma. However, no study of a similar type has been performed on lower-grade gliomas (LGGs). Methods.: Presurgical MRIs of 165 patients with diffuse low- and intermediate-grade gliomas (histological grades II and III) were scored according to the Visually Accessible Rembrandt Images (VASARI) annotations. Radiomic models using automated texture analysis and VASARI features were built to predict isocitrate dehydrogenase 1 (IDH1) mutation, 1p/19q codeletion status, histological grade, and tumor progression...
January 24, 2017: Neuro-oncology
https://www.readbyqxmd.com/read/28339127/quantitative-ultrasound-texture-analysis-for-differentiating-preterm-from-term-fetal-lungs
#2
Sleiman R Ghorayeb, Luis A Bracero, Matthew J Blitz, Zara Rahman, Martin L Lesser
OBJECTIVES: To differentiate preterm (<37 weeks' gestation) from term (≥37 weeks' gestation) fetal lungs by using quantitative texture analysis of ultrasound images. METHODS: This study retrospectively evaluated singleton gestations with valid dating at 20 weeks' gestational age (GA) or later between January 2015 and December 2015. Images were obtained from Voluson E8 ultrasound systems (GE Healthcare, Milwaukee, WI). A region of interest was selected in each fetal lung image at the level of the 4 heart chambers from an area that appeared most representative of the overall lung tissue and had the least shadow...
March 24, 2017: Journal of Ultrasound in Medicine: Official Journal of the American Institute of Ultrasound in Medicine
https://www.readbyqxmd.com/read/28336974/pet-radiomics-in-nsclc-state-of-the-art-and-a-proposal-for-harmonization-of-methodology
#3
M Sollini, L Cozzi, L Antunovic, A Chiti, M Kirienko
Imaging with positron emission tomography (PET)/computed tomography (CT) is crucial in the management of cancer because of its value in tumor staging, response assessment, restaging, prognosis and treatment responsiveness prediction. In the last years, interest has grown in texture analysis which provides an "in-vivo" lesion characterization, and predictive information in several malignances including NSCLC; however several drawbacks and limitations affect these studies, especially because of lack of standardization in features calculation, definitions and methodology reporting...
March 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28333649/multi-scale-rotation-invariant-convolutional-neural-networks-for-lung-texture-classification
#4
Qiangchang Wang, Yuanjie Zheng, Gongping Yang, Weidong Jin, Xinjian Chen, Yilong Yin
We propose a new Multi-scale Rotation-invariant Convolutional Neural Network (MRCNN) model for classifying various lung tissue types on high-resolution computed tomography (HRCT). MRCNN employs Gabor-local binary pattern (Gabor-LBP) which introduces a good property in image analysis - invariance to image scales and rotations. In addition, we offer an approach to deal with the problems caused by imbalanced number of samples between different classes in most of the existing works, accomplished by changing the overlapping size between the adjacent patches...
March 21, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28331889/unsupervised-labeling-of-glomerular-boundaries-using-gabor-filters-and-statistical-testing-in-renal-histology
#5
Brandon Ginley, John E Tomaszewski, Rabi Yacoub, Feng Chen, Pinaki Sarder
The glomerulus is the blood filtering unit of the kidney. Each human kidney contains [Formula: see text] glomeruli. Several renal conditions originate from structural damage to glomerular microcompartments, such as proteinuria, the excessive loss of blood proteins into urine. The gold standard for evaluating structural damage in renal pathology is histopathological and immunofluorescence examination of needle biopsies under a light microscope. This method is limited by qualitative or semiquantitative manual scoring approaches to the evaluation of glomerular structural features...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28331793/texture-analysis-of-abnormal-cell-images-for-predicting-the-continuum-of-colorectal-cancer
#6
Ahmad Chaddad, Camel Tanougast
Abnormal cell (ABC) is a markedly heterogeneous tissue area and can be categorized into three main types: benign hyperplasia (BH), carcinoma (Ca), and intraepithelial neoplasia (IN) or precursor cancerous lesion. In this study, the goal is to determine and characterize the continuum of colorectal cancer by using a 3D-texture approach. ABC was segmented in preprocessing step using an active contour segmentation technique. Cell types were analyzed based on textural features extracted from the gray level cooccurrence matrices (GLCMs)...
2017: Analytical Cellular Pathology (Amsterdam)
https://www.readbyqxmd.com/read/28328503/fast-spin-echo-imaging-based-ept-with-k-space-weighting-via-t-sub-2-sub-relaxation-rept
#7
Jaewook Shin, Min-Oh Kim, Sungmin Cho, Dong-Hyun Kim
Magnetic resonance electrical property tomography (MREPT) is a technique used to extract the electrical properties of tissues (conductivity in particular) using a magnetic resonance imaging (MRI) system. In this work, we propose an improved data acquisition scheme for electrical property tomography technique by utilizing T2 modulation in fast spin echo (FSE) imaging. This technique was motivated by numerical analysis of conductivity reconstruction in the frequency domain; results reveal the spatial frequency-dependent noise texture of conventional methods...
March 17, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28327449/integrated-local-binary-pattern-texture-features-for-classification-of-breast-tissue-imaged-by-optical-coherence-microscopy
#8
Sunhua Wan, Hsiang-Chieh Lee, Xiaolei Huang, Ting Xu, Tao Xu, Xianxu Zeng, Zhan Zhang, Yuri Sheikine, James L Connolly, James G Fujimoto, Chao Zhou
This paper proposes a texture analysis technique that can effectively classify different types of human breast tissue imaged by Optical Coherence Microscopy (OCM). OCM is an emerging imaging modality for rapid tissue screening and has the potential to provide high resolution microscopic images that approach those of histology. OCM images, acquired without tissue staining, however, pose unique challenges to image analysis and pattern classification. We examined multiple types of texture features and found Local Binary Pattern (LBP) features to perform better in classifying tissues imaged by OCM...
March 8, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28325604/early-prediction-of-radiotherapy-induced-parotid-shrinkage-and-toxicity-based-on-ct-radiomics-and-fuzzy-classification
#9
Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Alessia Farneti, Giovanni Mauro Cattaneo, Giovanna Rizzo, Massimo Esposito
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the prediction is obtained timely, before or during the early phase of treatment. Artificial intelligence can address the problem, by learning from examples and building classification models. In particular, fuzzy logic has shown its suitability for medical applications, in order to manage uncertain data, and to build transparent rule-based classifiers...
March 18, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28325451/multiview-boosting-digital-pathology-analysis-of-prostate-cancer
#10
Jin Tae Kwak, Stephen M Hewitt
BACKGROUND AND OBJECTIVE: Various digital pathology tools have been developed to aid in analyzing tissues and improving cancer pathology. The multi-resolution nature of cancer pathology, however, has not been fully analyzed and utilized. Here, we develop an automated, cooperative, and multi-resolution method for improving prostate cancer diagnosis. METHODS: Digitized tissue specimen images are obtained from 5 tissue microarrays (TMAs). The TMAs include 70 benign and 135 cancer samples (TMA1), 74 benign and 89 cancer samples (TMA2), 70 benign and 115 cancer samples (TMA3), 79 benign and 82 cancer samples (TMA4), and 72 benign and 86 cancer samples (TMA5)...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28325002/radiomic-analysis-of-multi-contrast-brain-mri-for-the-prediction-of-survival-in-patients-with-glioblastoma-multiforme
#11
Ahmad Chaddad, Christian Desrosiers, 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/28319652/effect-of-freezing-rate-and-microwave-thawing-on-texture-and-microstructural-properties-of-potato-solanum-tuberosum
#12
David M Phinney, John C Frelka, Anita Wickramasinghe, Dennis R Heldman
Food freezing is a preservation process that works by lowering temperature while simultaneously decreasing water activity. It is accepted that although freezing preserves foods, it generally has a negative effect on textural quality. This research investigated the texture response of potatoes (Solanum tuberosum) as a function of time to freeze (defined as the time for the center temperature to reach -20 °C) and thawing process. Potatoes slices (6 mm) were blanched then frozen in an ethanol/carbon dioxide bath, a pilot scale high velocity air freezer (HVAF) and a still air freezer to achieve various times to freeze...
March 20, 2017: Journal of Food Science
https://www.readbyqxmd.com/read/28319274/intraoperative-optical-coherence-tomography-for-soft-tissue-sarcoma-differentiation-and-margin-identification
#13
Kelly J Mesa, Laura E Selmic, Paritosh Pande, Guillermo L Monroy, Jennifer Reagan, Jonathan Samuelson, Elizabeth Driskell, Joanne Li, Marina Marjanovic, Eric J Chaney, Stephen A Boppart
BACKGROUND AND OBJECTIVE: Sarcomas are rare but highly aggressive tumors, and local recurrence after surgical excision can occur in up to 50% cases. Therefore, there is a strong clinical need for accurate tissue differentiation and margin assessment to reduce incomplete resection and local recurrence. The purpose of this study was to investigate the use of optical coherence tomography (OCT) and a novel image texture-based processing algorithm to differentiate sarcoma from muscle and adipose tissue...
March 20, 2017: Lasers in Surgery and Medicine
https://www.readbyqxmd.com/read/28314191/robust-detection-and-segmentation-of-cell-nuclei-in-biomedical-images-based-on-a-computational-topology-framework
#14
Rodrigo Rojas-Moraleda, Wei Xiong, Niels Halama, Katja Breitkopf-Heinlein, Steven Dooley, Luis Salinas, Dieter W Heermann, Nektarios A Valous
The segmentation of cell nuclei is an important step towards the automated analysis of histological images. The presence of a large number of nuclei in whole-slide images necessitates methods that are computationally tractable in addition to being effective. In this work, a method is developed for the robust segmentation of cell nuclei in histological images based on the principles of persistent homology. More specifically, an abstract simplicial homology approach for image segmentation is established. Essentially, the approach deals with the persistence of disconnected sets in the image, thus identifying salient regions that express patterns of persistence...
March 6, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28314154/streamlined-approach-to-mapping-the-magnetic-induction-of-skyrmionic-materials
#15
Jordan J Chess, Sergio A Montoya, Tyler R Harvey, Colin Ophus, Simon Couture, Vitaliy Lomakin, Eric E Fullerton, Benjamin J McMorran
Recently, Lorentz transmission electron microscopy (LTEM) has helped researchers advance the emerging field of magnetic skyrmions. These magnetic quasi-particles, composed of topologically non-trivial magnetization textures, have a large potential for application as information carriers in low-power memory and logic devices. LTEM is one of a very few techniques for direct, real-space imaging of magnetic features at the nanoscale. For Fresnel-contrast LTEM, the transport of intensity equation (TIE) is the tool of choice for quantitative reconstruction of the local magnetic induction through the sample thickness...
February 28, 2017: Ultramicroscopy
https://www.readbyqxmd.com/read/28304378/generating-highly-accurate-prediction-hypotheses-through-collaborative-ensemble-learning
#16
Nino Arsov, Martin Pavlovski, Lasko Basnarkov, Ljupco Kocarev
Ensemble generation is a natural and convenient way of achieving better generalization performance of learning algorithms by gathering their predictive capabilities. Here, we nurture the idea of ensemble-based learning by combining bagging and boosting for the purpose of binary classification. Since the former improves stability through variance reduction, while the latter ameliorates overfitting, the outcome of a multi-model that combines both strives toward a comprehensive net-balancing of the bias-variance trade-off...
March 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28297460/a-noise-power-spectrum-study-of-a-new-model-based-iterative-reconstruction-system-veo-3-0
#17
Guang Li, Xinming Liu, Cristina T Dodge, Corey T Jensen, X John Rong
The purpose of this study was to evaluate performance of the third generation of model-based iterative reconstruction (MBIR) system, Veo 3.0, based on noise power spectrum (NPS) analysis with various clinical presets over a wide range of clinically applicable dose levels. A CatPhan 600 surrounded by an oval, fat-equivalent ring to mimic patient size/shape was scanned 10 times at each of six dose levels on a GE HD 750 scanner. NPS analysis was performed on images reconstructed with various Veo 3.0 preset combinations for comparisons of those images reconstructed using Veo 2...
September 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28296767/fractal-analysis-of-subchondral-bone-changes-of-the-hand-in-rheumatoid-arthritis
#18
Shahin Zandieh, Joerg Haller, Reinhard Bernt, Klaus Hergan, Eva Rath
Rheumatoid arthritis (RA) is a chronic and systemic inflammatory disorder. Conventional radiography, a widely available and cost-effective examination method, remains the standard of reference for the detection and quantification of joint involvement in RA. Fractal dimension (FD) of the trabecular bone structure has been proven to correlate with the bone's physical properties. The present study was designed to use fractal analysis to validate radiograph changes in the hand of RA patients.This study retrospectively evaluated the hand radiographs of 108 subjects...
March 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28295386/an-integrated-segmentation-and-shape-based-classification-scheme-for-distinguishing-adenocarcinomas-from-granulomas-on-lung-ct
#19
Mehdi Alilou, Niha Beig, Mahdi Orooji, Anant Madabhushi, Prabhakar Rajiah, Michael Yang, Robert Gilkeson, Philip Linden, Vamsidhar Velcheti, Sagar Rakshit, Niyoti Reddy, Frank Jacono
PURPOSE: Distinguishing between benign granulmoas and adenocarcinomas is confounded by their similar visual appearance on routine CT scans. Unfortunately, owing to the inability to discriminate these lesions radigraphically, many patients with benign granulomas are subjected to unnecessary surgical wedge resections and biopsies for pathologic confirmation of cancer presence or absence. This suggests the need for improved computerized characterization of these nodules in order to distinguish between these two classes of lesions on CT scans...
March 14, 2017: Medical Physics
https://www.readbyqxmd.com/read/28285707/intratumoural-heterogeneity-measured-using-fdg-pet-and-mri-is-associated-with-tumour-stroma-ratio-and-clinical-outcome-in-head-and-neck-squamous-cell-carcinoma
#20
J W Choi, D Lee, S H Hyun, M Han, J-H Kim, S J Lee
AIM: To evaluate the association between the tumour-stroma ratio and intratumoural heterogeneity measured using 2-[(18)F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography (PET) and magnetic resonance imaging (MRI), and further investigate the prognostic significance of imaging biomarkers in head and neck squamous cell carcinoma (HNSCC). MATERIALS AND METHODS: Textural-based imaging parameters of the primary tumour were extracted in 44 patients. In addition, the difference between the minimum and maximum apparent diffusion coefficient (ADC) values (ADCdiff) was calculated on MRI...
March 9, 2017: Clinical Radiology
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