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Image Texture Analysis

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https://www.readbyqxmd.com/read/28727543/non-small-cell-lung-cancer-radiogenomics-map-identifies-relationships-between-molecular-and-imaging-phenotypes-with-prognostic-implications
#1
Mu Zhou, Ann Leung, Sebastian Echegaray, Andrew Gentles, Joseph B Shrager, Kristin C Jensen, Gerald J Berry, Sylvia K Plevritis, Daniel L Rubin, Sandy Napel, Olivier Gevaert
Purpose To create a radiogenomic map linking computed tomographic (CT) image features and gene expression profiles generated by RNA sequencing for patients with non-small cell lung cancer (NSCLC). Materials and Methods A cohort of 113 patients with NSCLC diagnosed between April 2008 and September 2014 who had preoperative CT data and tumor tissue available was studied. For each tumor, a thoracic radiologist recorded 87 semantic image features, selected to reflect radiologic characteristics of nodule shape, margin, texture, tumor environment, and overall lung characteristics...
July 20, 2017: Radiology
https://www.readbyqxmd.com/read/28723287/advanced-renal-cell-carcinoma-role-of-the-radiologist-in-the-era-of-precision-medicine
#2
Atul B Shinagare, Katherine M Krajewski, Marta Braschi-Amirfarzan, Nikhil H Ramaiya
For the past decade, advanced renal cell carcinoma (RCC) has been at the forefront of oncologic innovation. Our rapidly evolving understanding of the molecular and genetic basis of RCC has revolutionized the management of advanced RCC; 10 novel molecular targeted agents and immune checkpoint inhibitor have received U.S. Food and Drug Administration approval for treatment of advanced RCC in a little over a decade. Amid this progress, imaging has assumed a central role in metastatic surveillance and follow-up of advanced RCC...
August 2017: Radiology
https://www.readbyqxmd.com/read/28720970/effect-of-rice-bran-oil-spread-on-the-physical-sensory-and-fatty-acid-profile-of-cake
#3
Rizwana Shaik, Aparna Kuna, Mohibbe Azam, Ram Tilathoo, Manorama Kanuri, Geetha Samala
Studies were carried out to replace hydrogenated fat (HF) with rice bran oil (RBO) and two varieties of rice bran oil spread RBOS1 and RBOS2 in the preparation of cake. Physico-chemical properties, sensory properties, scanning electronic microscopic (SEM) study and fatty acid estimation with reference to trans fatty acids of cake made with control and experimental samples were studied. The best acceptable cake among the four i.e., RBOS2 cake was selected for consumer evaluation along with control (HF) cake...
June 2017: Journal of Food Science and Technology
https://www.readbyqxmd.com/read/28715442/combining-random-forest-with-multi-block-local-binary-pattern-feature-selection-for-multiclass-head-pose-estimation
#4
Min-Joo Kang, Jung-Kyung Lee, Je-Won Kang
A new head pose estimation technique based on Random Forest (RF) and texture features for facial image analysis using a monocular camera is proposed in this paper, especially about how to efficiently combine the random forest and the features. In the proposed technique a randomized tree with useful attributes is trained to improve estimation accuracy and tolerance of occlusions and illumination. Specifically, a number of features including Multi-scale Block Local Block Pattern (MB-LBP) are extracted from an image, and random features such as the MB-LBP scale parameters, a block coordinate, and a layer of an image pyramid in the feature pool are used for training the tree...
2017: PloS One
https://www.readbyqxmd.com/read/28715367/microfluidic-imaging-flow-cytometry-by-asymmetric-detection-time-stretch-optical-microscopy-atom
#5
Anson H L Tang, Queenie T K Lai, Bob M F Chung, Kelvin C M Lee, Aaron T Y Mok, G K Yip, Anderson H C Shum, Kenneth K Y Wong, Kevin K Tsia
Scaling the number of measurable parameters, which allows for multidimensional data analysis and thus higher-confidence statistical results, has been the main trend in the advanced development of flow cytometry. Notably, adding high-resolution imaging capabilities allows for the complex morphological analysis of cellular/sub-cellular structures. This is not possible with standard flow cytometers. However, it is valuable for advancing our knowledge of cellular functions and can benefit life science research, clinical diagnostics, and environmental monitoring...
June 28, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28714053/the-influence-of-surface-texture-and-wettability-on-initial-bacterial-adhesion-on-titanium-and-zirconium-oxide-dental-implants
#6
Torsten Wassmann, Stefan Kreis, Michael Behr, Ralf Buergers
BACKGROUND: This study aims to investigate bacterial adhesion on different titanium and ceramic implant surfaces, to correlate these findings with surface roughness and surface hydrophobicity, and to define the predominant factor for bacterial adhesion for each material. METHODS: Zirconia and titanium specimens with different surface textures and wettability (5.0 mm in diameter, 1.0 mm in height) were prepared. Surface roughness was measured by perthometer (R a ) and atomic force microscopy, and hydrophobicity according to contact angles by computerized image analysis...
December 2017: International Journal of Implant Dentistry
https://www.readbyqxmd.com/read/28712700/radiomic-analysis-of-dce-mri-for-prediction-of-response-to-neoadjuvant-chemotherapy-in-breast-cancer-patients
#7
Ming Fan, Guolin Wu, Hu Cheng, Juan Zhang, Guoliang Shao, Lihua Li
OBJECTIVES: To enhance the accurate prediction of the response to neoadjuvant chemotherapy (NAC) in breast cancer patients by using a quantitative analysis of dynamic enhancement magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: A dataset of 57 cancer patients with breast DCE-MR images acquired before NAC was used. Among them, 47 patients were Responders, and 10 patients were non-Responders based on the RECIST criteria. The breast regions were segmented on the MR images, and a total of 158 radiomic features were computed to represent the morphologic, dynamic, and the texture of the tumors as well as the background parenchymal features...
June 28, 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28711211/advanced-tissue-characterization-and-texture-analysis-using-dual-energy-computed-tomography-horizons-and-emerging-applications
#8
REVIEW
Reza Forghani, Ashok Srinivasan, Behzad Forghani
In the last article of this issue, advanced analysis capabilities of DECT is reviewed, including spectral Hounsfield unit attenuation curves, virtual monochromatic images, material decomposition maps, tissue effective Z determination, and other advanced post-processing DECT tools, followed by different methods of analysis of the attenuation curves generated using DECT. The article concludes with exciting future horizons and potential applications, such as the use of the rich quantitative data in dual energy CT scans for texture or radiomic analysis and the use of machine learning methods for generation of prediction models using spectral data...
August 2017: Neuroimaging Clinics of North America
https://www.readbyqxmd.com/read/28708916/assessment-of-parathyroid-hormone-serum-level-as-a-predictor-for-bone-condition-around-dental-implants
#9
Piotr Hadrowicz, Joanna Hadrowicz, Marcin Kozakiewicz, Adam Gesing
PURPOSE: The aim of this prospective study was to evaluate parathyroid hormone serum level as a potential single factor of bone metabolism around dental implants. MATERIALS AND METHODS: Parathyroid hormone levels were measured before implantation. Intraoral digital radiographs were taken in standardized conditions in all cases: immediately after implantation, immediately after functional loading, and 3, 6, 9, 12, 18, and 24 months after functional loading. The next phase was to align all radiographs geometrically...
July 2017: International Journal of Oral & Maxillofacial Implants
https://www.readbyqxmd.com/read/28708850/tumor-spatial-heterogeneity-in-myxoid-containing-soft-tissue-using-texture-analysis-of-diffusion-weighted-mri
#10
Hyun Su Kim, Jae-Hun Kim, Young Cheol Yoon, Bong Keun Choe
The objective of this study was to examine the tumor spatial heterogeneity in myxoid-containing soft-tissue tumors (STTs) using texture analysis of diffusion-weighted imaging (DWI). A total of 40 patients with myxoid-containing STTs (23 benign and 17 malignant) were included in this study. The region of interest (ROI) was manually drawn on the apparent diffusion coefficient (ADC) map. For texture analysis, the global (mean, standard deviation, skewness, and kurtosis), regional (intensity variability and size-zone variability), and local features (energy, entropy, correlation, contrast, homogeneity, variance, and maximum probability) were extracted from the ADC map...
2017: PloS One
https://www.readbyqxmd.com/read/28708559/texture-characterization-using-shape-co-occurrence-patterns
#11
Gui-Song Xia, Gang Liu, Xiang Bai, Liangpei Zhang
Texture characterization is a key problem in image understanding and pattern recognition. In this paper, we present a flexible shape-based texture representation using shape co-occurrence patterns. More precisely, texture images are first represented by a tree of shapes, each of which is associated with several geometrical and radiometric attributes. Then, four typical kinds of shape co-occurrence patterns based on the hierarchical relationships among the shapes in the tree are learned as codewords. Three different coding methods are investigated for learning the codewords, which can be used to encode any given texture image into a descriptive vector...
July 12, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28705145/texture-based-classification-of-different-single-liver-lesion-based-on-spair-t2w-mri-images
#12
Zhenjiang Li, Yu Mao, Wei Huang, Hongsheng Li, Jian Zhu, Wanhu Li, Baosheng Li
BACKGROUND: To assess the feasibility of texture analysis (TA) based on spectral attenuated inversion-recovery T2 weighted magnetic resonance imaging (SPAIR T2W-MRI) for the classification of hepatic hemangioma (HH), hepatic metastases (HM) and hepatocellular carcinoma (HCC). METHODS: The SPAIR T2W-MRI data of 162 patients with HH (n=55), HM (n=67) and HCC (n=40) were retrospectively analyzed. We used two independent cohorts for training (n = 112 patients) and validation (n = 50 patients)...
July 13, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28700903/computer-based-classification-of-chromoendoscopy-images-using-homogeneous-texture-descriptors
#13
Hussam Ali, Muhammad Sharif, Mussarat Yasmin, Mubashir Husain Rehmani
Computer-aided analysis of clinical pathologies is a challenging task in the field of medical imaging. Specifically, the detection of abnormal regions in the frames collected during an endoscopic session is difficult. The variations in the conditions of image acquisition, such as field of view or illumination modification, make it more demanding. Therefore, the design of a computer-assisted diagnostic system for the recognition of gastric abnormalities requires features that are robust to scale, rotation, and illumination variations of the images...
July 5, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28697731/texture-analysis-of-pulmonary-parenchymateous-changes-related-to-pulmonary-thromboembolism-in-dogs-a-novel-approach-using-quantitative-methods
#14
C B Marschner, M Kokla, J M Amigo, E A Rozanski, B Wiinberg, F J McEvoy
BACKGROUND: Diagnosis of pulmonary thromboembolism (PTE) in dogs relies on computed tomography pulmonary angiography (CTPA), but detailed interpretation of CTPA images is demanding for the radiologist and only large vessels may be evaluated. New approaches for better detection of smaller thrombi include dual energy computed tomography (DECT) as well as computer assisted diagnosis (CAD) techniques. The purpose of this study was to investigate the performance of quantitative texture analysis for detecting dogs with PTE using grey-level co-occurrence matrices (GLCM) and multivariate statistical classification analyses...
July 11, 2017: BMC Veterinary Research
https://www.readbyqxmd.com/read/28692962/bilinear-convolutional-neural-networks-for-fine-grained-visual-recognition
#15
Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji
We present a simple and effective architecture for fine-grained recognition called Bilinear Convolutional Neural Networks (B-CNNs). These networks represent an image as a pooled outer product of features derived from two CNNs and capture localized feature interactions in a translationally invariant manner. B-CNNs are related to orderless texture representations built on deep features but can be trained in an end-to-end manner. Our most accurate model obtains 84.1%, 79.4%, 84.5% and 91.3% per-image accuracy on the Caltech-UCSD birds [66], NABirds [63], FGVC aircraft [42], and Stanford cars [33] dataset respectively and runs at 30 frames-per-second on a NVIDIA Titan X GPU...
July 4, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28691102/dce-mri-texture-features-for-early-prediction-of-breast-cancer-therapy-response
#16
Guillaume Thibault, Alina Tudorica, Aneela Afzal, Stephen Y-C Chui, Arpana Naik, Megan L Troxell, Kathleen A Kemmer, Karen Y Oh, Nicole Roy, Neda Jafarian, Megan L Holtorf, Wei Huang, Xubo Song
This study investigates the effectiveness of hundreds of texture features extracted from voxel-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parametric maps for early prediction of breast cancer response to neoadjuvant chemotherapy (NAC). In total, 38 patients with breast cancer underwent DCE-MRI before (baseline) and after the first of the 6-8 NAC cycles. Quantitative pharmacokinetic (PK) parameters and semiquantitative metrics were estimated from DCE-MRI time-course data. The residual cancer burden (RCB) index value was computed based on pathological analysis of surgical specimens after NAC completion...
March 2017: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28685320/can-laws-be-a-potential-pet-image-texture-analysis-approach-for-evaluation-of-tumor-heterogeneity-and-histopathological-characteristics-in-nsclc
#17
Seyhan Karacavus, Bülent Yılmaz, Arzu Tasdemir, Ömer Kayaaltı, Eser Kaya, Semra İçer, Oguzhan Ayyıldız
We investigated the association between the textural features obtained from (18)F-FDG images, metabolic parameters (SUVmax, SUVmean, MTV, TLG), and tumor histopathological characteristics (stage and Ki-67 proliferation index) in non-small cell lung cancer (NSCLC). The FDG-PET images of 67 patients with NSCLC were evaluated. MATLAB technical computing language was employed in the extraction of 137 features by using first order statistics (FOS), gray-level co-occurrence matrix (GLCM), gray-level run length matrix (GLRLM), and Laws' texture filters...
July 6, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28677635/build-a-robust-learning-feature-descriptor-by-using-a-new-image-visualization-method-for-indoor-scenario-recognition
#18
Jichao Jiao, Xin Wang, Zhongliang Deng
In order to recognize indoor scenarios, we extract image features for detecting objects, however, computers can make some unexpected mistakes. After visualizing the histogram of oriented gradient (HOG) features, we find that the world through the eyes of a computer is indeed different from human eyes, which assists researchers to see the reasons that cause a computer to make errors. Additionally, according to the visualization, we notice that the HOG features can obtain rich texture information. However, a large amount of background interference is also introduced...
July 4, 2017: Sensors
https://www.readbyqxmd.com/read/28675381/matched-computed-tomography-segmentation-and-demographic-data-for-oropharyngeal-cancer-radiomics-challenges
#19
(no author information available yet)
Cancers arising from the oropharynx have become increasingly more studied in the past few years, as they are now epidemic domestically. These tumors are treated with definitive (chemo)radiotherapy, and have local recurrence as a primary mode of clinical failure. Recent data suggest that 'radiomics', or extraction of image texture analysis to generate mineable quantitative data from medical images, can reflect phenotypes for various cancers. Several groups have shown that developed radiomic signatures, in head and neck cancers, can be correlated with survival outcomes...
July 4, 2017: Scientific Data
https://www.readbyqxmd.com/read/28670164/texture-analysis-of-torn-rotator-cuff-on-preoperative-magnetic-resonance-arthrography-as-a-predictor-of-postoperative-tendon-status
#20
Yeonah Kang, Guen Young Lee, Joon Woo Lee, Eugene Lee, Bohyoung Kim, Su Jin Kim, Joong Mo Ahn, Heung Sik Kang
OBJECTIVE: To evaluate texture data of the torn supraspinatus tendon (SST) on preoperative T2-weighted magnetic resonance arthrography (MRA) using the gray-level co-occurrence matrix (GLCM) for prediction of post-operative tendon state. MATERIALS AND METHODS: Fifty patients who underwent arthroscopic rotator cuff repair for full-thickness tears of the SST were included in this retrospective study. Based on 1-year follow-up, magnetic resonance imaging showed that 30 patients had intact SSTs, and 20 had rotator cuff retears...
July 2017: Korean Journal of Radiology: Official Journal of the Korean Radiological Society
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