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Image Texture Analysis

Michael Ingrisch, Moritz Jörg Schneider, Dominik Nörenberg, Giovanna Negrao de Figueiredo, Klaus Maier-Hein, Bogdana Suchorska, Ulrich Schüller, Nathalie Albert, Hartmut Brückmann, Maximilian Reiser, Jörg-Christian Tonn, Birgit Ertl-Wagner
OBJECTIVES: The aim of this study was to investigate whether radiomic analysis with random survival forests (RSFs) can predict overall survival from T1-weighted contrast-enhanced baseline magnetic resonance imaging (MRI) scans in a cohort of glioblastoma multiforme (GBM) patients with uniform treatment. MATERIALS AND METHODS: This retrospective study was approved by the institutional review board and informed consent was waived. The MRI scans from 66 patients with newly diagnosed GBM from a previous prospective study were analyzed...
January 9, 2017: Investigative Radiology
Torsten Lowitz, Oleg Museyko, Valérie Bousson, Christine Chappard, Liess Laouisset, Jean-Denis Laredo, Klaus Engelke
BACKGROUND: A change of loading conditions in the knee causes changes in the subchondral bone and may be a cause of osteoarthritis (OA). However, quantification of trabecular architecture in vivo is difficult due to the limiting spatial resolution of the imaging equipment; one approach is the use of texture parameters. In previous studies, we have used digital models to simulate changes of subchondral bone architecture under OA progression. One major result was that, using computed tomography (CT) images, subchondral bone mineral density (BMD) in combination with anisotropy and global homogeneity could characterize this progression...
January 10, 2017: Arthritis Research & Therapy
Roman Peter, Panagiotis Korfiatis, Daniel Blezek, A Oscar Beitia, Irena Stepan-Buksakowska, Daniel Horinek, Kelly D Flemming, Bradley J Erickson
PURPOSE: Early identification of ischemic stroke plays a significant role in treatment and potential recovery of damaged brain tissue. In noncontrast CT (ncCT), the differences between ischemic changes and healthy tissue are usually very subtle during the hyperacute phase (< 8 h from the stroke onset). Therefore, visual comparison of both hemispheres is an important step in clinical assessment. A quantitative symmetry-based analysis of texture features of ischemic lesions in noncontrast CT images may provide an important information for differentiation of ischemic and healthy brain tissue in this phase...
November 22, 2016: Medical Physics
Yao-Ran Huo, Hong-Jie He, Fan Chen, Heng-Ming Tai
The existing adaptive single-pixel imaging methods suffer from a waste of sampling resources. The sampling resources are not used adequately for superior localization of significant coefficients and reconstruction. In this paper, an adaptive single-pixel imaging method via the guided coefficients in the Haar wavelet tree is proposed. The goal is to achieve high quality imaging with less sampling resources. The guided coefficients are selected from the unsampled coefficients by a proposed same-scale prediction method based on the sampled coefficients...
January 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
David Groheux, Antoine Martineau, Luis Teixeira, Marc Espié, Patricia de Cremoux, Philippe Bertheau, Pascal Merlet, Charles Lemarignier
BACKGROUND: This study investigated the value of some clinicopathological parameters and 18 F-fluorodeoxyglucose-positron emission tomography/computed tomography ((18)FDG-PET/CT) indices, including textural features, to predict event-free survival (EFS) in estrogen receptor-positive/human epidermal growth factor receptor 2-negative (ER+/HER2-) locally advanced breast cancer (BC) patients. METHODS: FDG-PET/CT indices and clinicopathological parameters were assessed before neoadjuvant chemotherapy (NAC)...
January 5, 2017: Breast Cancer Research: BCR
Verena Korn, Christian Surber, Georgios Imanidis
BACKGROUND/AIMS: To determine the roughness of the surface of human skin at highly sun-exposed anatomical sites in a wide age range in order to derive consequences for sunscreen application. METHODS: The forehead, cheek, nose, shoulder, and dorsal hand of 4 age groups (0-9, 20-39, 40-59, and >60 years) were investigated by replica formation, and areal topography was determined by confocal chromatic imaging. The arithmetic mean height as a roughness parameter and the void volume of the surface profile were calculated...
January 5, 2017: Skin Pharmacology and Physiology
Christine Mayer, Sonja Windhager, Katrin Schaefer, Philipp Mitteroecker
Facial markers of body composition are frequently studied in evolutionary psychology and are important in computational and forensic face recognition. We assessed the association of body mass index (BMI) and waist-to-hip ratio (WHR) with facial shape and texture (color pattern) in a sample of young Middle European women by a combination of geometric morphometrics and image analysis. Faces of women with high BMI had a wider and rounder facial outline relative to the size of the eyes and lips, and relatively lower eyebrows...
2017: PloS One
Aditya P Apte, Joseph O Deasy
PURPOSE: To present new tools in CERR for Texture Analysis and Visualization. METHOD: (1) Quantitative Image Analysis: We added the ability to compute Haralick texture features based on local neighbourhood. The Texture features depend on many parameters used in their derivation. For example: (a) directionality, (b) quantization of image, (c) patch-size for the neighborhood, (d) handling of the edge voxels within the region of interest, (e) Averaging co-occurance matrix vs texture features for different directions etc...
June 2016: Medical Physics
Yitan Zhu
With the growth of quantitative imaging and quantitative image analysis, image-based biomarkers (i.e. image-based phenotypes) are becoming potential descriptors in personalized medicine as well as in cancer discovery research. Genomic study measures molecular cancer status and provides abundant information about cancer development mechanism. There is a need to understand the relationship between the image-based cancer phenotypes (from radiomics) and the underlying molecular and genomic system. Imaging scientists and genomic scientists need to be able to speak the same language in this common era of Big Data...
June 2016: Medical Physics
Y Cui, E Pollom, B Loo, Q Le, W Hara, R Li
PURPOSE: To evaluate whether tumor textural features extracted from both pre- and mid-treatment FDG-PET images predict early response to chemoradiotherapy in locally advanced head and neck cancer, and investigate whether they provide complementary value to conventional volume-based measurements. METHODS: Ninety-four patients with locally advanced head and neck cancers were retrospectively studied. All patients received definitive chemoradiotherapy and underwent FDG-PET planning scans both before and during treatment...
June 2016: Medical Physics
J Duan
PURPOSE: In this study, texture analysis is proposed to assess liver cirrhosis and normal liver in CT image, and to automatically identify cirrhosis tissue and normal tissue for liver. METHODS: Texture feature parameters were extracted from 10 liver cirrhosis and 10 normal liver CT images. To individuate which parameter is available in classify the different tissue, a Wilcoxon signed-rank test between textural indices was performed. RESULTS: We acquired 9 texture parameters (such as energy, inertia, entropy, correlation, etc...
June 2016: Medical Physics
S Riyahi, W Choi, W Lu
PURPOSE: to quantify tumor volume/shape evolution due to chemoradiotherapy using structural evolution maps computed from deformation field. To extract radiomics from these maps for tumor response assessment. METHODS: In 20 patients with esophageal cancer, BSpline deformable registration was performed to register post-treatment CT image to pre-treatment CT image. The resulting deformation (vector) field represented tissue displacement at every voxel. We computed three structural evolution maps from the deformation field: (1) contraction map, to detect local tumor shrinking/growth, (2) Jacobian map, to characterize the ratio of local volumetric variation, and (3) Hessian map, to track dynamic evolving process...
June 2016: Medical Physics
K Ogden, T Bradford, L Cussen, R O'Dwyer
PURPOSE: To reduce differences in features calculated from MRI brain scans acquired at different field strengths with or without Gadolinium contrast. METHODS: Brain scans were processed for 111 epilepsy patients to extract hippocampus and thalamus features. Scans were acquired on 1.5 T scanners with Gadolinium contrast (group A), 1.5T scanners without Gd (group B), and 3.0 T scanners without Gd (group C). A total of 72 features were extracted. Features were extracted from original scans and from scans where the image pixel values were rescaled to the mean of the hippocampi and thalami values...
June 2016: Medical Physics
V Yu, D Ruan, D Nguyen, T Kaprealian, R Chin, K Sheng
PURPOSE: To test the potential of early Glioblastoma Multiforme (GBM) recurrence detection utilizing image texture pattern analysis in serial MR images post primary treatment intervention. METHODS: MR image-sets of six time points prior to the confirmed recurrence diagnosis of a GBM patient were included in this study, with each time point containing T1 pre-contrast, T1 post-contrast, T2-Flair, and T2-TSE images. Eight Gray-level co-occurrence matrix (GLCM) texture features including Contrast, Correlation, Dissimilarity, Energy, Entropy, Homogeneity, Sum-Average, and Variance were calculated from all images, resulting in a total of 32 features at each time point...
June 2016: Medical Physics
S Klawikowski, J Christian, D Schott, M Zhang, X Li
PURPOSE: Pilot study developing a CT-texture based model for early assessment of treatment response during the delivery of chemoradiation therapy (CRT) for pancreatic cancer. METHODS: Daily CT data acquired for 24 pancreatic head cancer patients using CT-on-rails, during the routine CT-guided CRT delivery with a radiation dose of 50.4 Gy in 28 fractions, were analyzed. The pancreas head was contoured on each daily CT. Texture analysis was performed within the pancreas head contour using a research tool (IBEX)...
June 2016: Medical Physics
N Lamichhane, P Johnson, F Chinea, V Patel, F Yang
PURPOSE: To evaluate the correlation between image features and the accuracy of manually drawn target contours on synthetic PET images METHODS: A digital PET phantom was used in combination with Monte Carlo simulation to create a set of 26 simulated PET images featuring a variety of tumor shapes and activity heterogeneity. These tumor volumes were used as a gold standard in comparisons with manual contours delineated by 10 radiation oncologist on the simulated PET images. Metrics used to evaluate segmentation accuracy included the dice coefficient, false positive dice, false negative dice, symmetric mean absolute surface distance, and absolute volumetric difference...
June 2016: Medical Physics
C Ma, Y Yin
PURPOSE: To explore 18F-FDG uptake heterogeneity of primary tumor and lymphoma tumor by texture features of PET image and quantify the heterogeneity difference between primary tumor and lymphoma tumor. METHODS: 18 patients with primary tumor and lymphoma tumor in lung cancer were enrolled. All patients underwent whole-body 18F-FDG PET/CT scans before treatment. Texture features, based on Gray-level Co-occurrence Matrix, second and high order matrices are extracted from code using MATLAB software to quantify 18F-FDG uptake heterogeneity...
June 2016: Medical Physics
M Andrews, M Abazeed, N Woody, K Stephans, G Videtic, P Xia, T Zhuang
PURPOSE: To explore possible correlation between CT image-based texture and histogram features and time-to-local-failure in early stage non-small cell lung cancer (NSCLC) patients treated with stereotactic body radiotherapy (SBRT). METHODS AND MATERIALS: From an IRB-approved lung SBRT registry for patients treated between 2009-2013 we selected 48 (20 male, 28 female) patients with local failure. Median patient age was 72.3±10.3 years. Mean time to local failure was 15 ± 7...
June 2016: Medical Physics
Y Xie, J Wang, C Wang, Z Chang
PURPOSE: To investigate the sensitivity of classic texture features to variations of MRI acquisition parameters. METHODS: This study was performed on American College of Radiology (ACR) MRI Accreditation Program Phantom. MR imaging was acquired on a GE 750 3T scanner with XRM explain gradient, employing a T1-weighted images (TR/TE=500/20ms) with the following parameters as the reference standard: number of signal average (NEX) = 1, matrix size = 256×256, flip angle = 90°, slice thickness = 5mm...
June 2016: Medical Physics
S Lee, D Markel, G Hegyi, I El Naqa
PURPOSE: The reliability of computed tomography (CT) textures is an important element of radiomics analysis. This study investigates the dependency of lung CT textures on different breathing phases and changes in CT image acquisition protocols in a realistic phantom setting. METHODS: We investigated 11 CT texture features for radiation-induced lung disease from 3 categories (first-order, grey level co-ocurrence matrix (GLCM), and Law's filter). A biomechanical swine lung phantom was scanned at two breathing phases (inhale/exhale) and two scanning protocols set for PET/CT and diagnostic CT scanning...
June 2016: Medical Physics
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