Read by QxMD icon Read

Image Texture Analysis

Kuan-Yin Ko, Chia-Ju Liu, Chi-Lun Ko, Ruoh-Fang Yen
PURPOSE: The aim of this study was to investigate whether the textural features of pretreatment F-FDG PET images can predict prognosis for nasal type extranodal natural killer/T-cell lymphoma (ENKTL). MATERIALS AND METHODS: A retrospective analysis of the pretreatment F-FDG PET images of the patients with newly diagnosed nasal type ENKTL from 2008 to 2013 was conducted. Progression-free survival (PFS) was the main outcome measure. The primary tumor was identified and then delineated using the 40% maximum standardized uptake value (SUVmax) thresholding method...
October 5, 2016: Clinical Nuclear Medicine
T Janvier, R Jennane, A Valery, K Harrar, M Delplanque, C Lelong, D Loeuille, H Toumi, E Lespessailles
OBJECTIVES: To examine whether trabecular bone texture (TBT) parameters assessed on computed radiographs could predict knee osteoarthritis (OA) progression. METHODS: This study was performed using data from the Osteoarthritis Initiative. 1647 knees in 1124 patients had bilateral fixed flexion radiographs acquired 48 months apart. Images were semi-automatically segmented to extract a patchwork of regions of interest (ROI). A fractal texture analysis was performed using different methods...
October 11, 2016: Osteoarthritis and Cartilage
Pol Cirujeda, Yashin Dicente Cid, Henning Muller, Daniel Rubin, Todd A Aguilera, Billy W Loo, Maximilian Diehn, Xavier Binefa, Adrien Depeursinge
This paper proposes a novel imaging biomarker of lung cancer relapse from 3-D texture analysis of CT images. Three-dimensional morphological nodular tissue properties are described in terms of 3-D Riesz-wavelets. The responses of the latter are aggregated within nodular regions by means of feature covariances, which leverage rich intra- and inter- variations of the feature space dimensions. When compared to the classical use of the average for feature aggregation, feature covariances preserve spatial co-variations between features...
July 18, 2016: IEEE Transactions on Medical Imaging
Johannes Burge, Brian C McCann, Wilson S Geisler
Estimating three-dimensional (3D) surface orientation (slant and tilt) is an important first step toward estimating 3D shape. Here, we examine how three local image cues from the same location (disparity gradient, luminance gradient, and dominant texture orientation) should be combined to estimate 3D tilt in natural scenes. We collected a database of natural stereoscopic images with precisely co-registered range images that provide the ground-truth distance at each pixel location. We then analyzed the relationship between ground-truth tilt and image cue values...
October 1, 2016: Journal of Vision
Jorn Beukinga, Jan Binne Hulshoff, Lisanne van Dijk, Christina Muijs, Johannes Burgerhof, Gursah Kats-Ugurlu, Riemer Slart, Cornelis Slump, Véronique Mul, John Plukker
: Adequate prediction of tumor response to neoadjuvant chemoradiotherapy (nCRT) in esophageal cancer (EC) patients is important in a more personalized treatment. The current best clinical method to predict pathologic complete response is the maximal standardized uptake value (SUVmax) in (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) imaging. To improve the prediction of response, we constructed a model to predict complete response to nCRT in EC based on pre-treatment clinical parameters and (18)F-FDG PET/CT derived textural features...
October 13, 2016: Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine
Attila Forgacs, Hermann Pall Jonsson, Magnus Dahlbom, Freddie Daver, Matthew D DiFranco, Gabor Opposits, Aron K Krizsan, Ildiko Garai, Johannes Czernin, Jozsef Varga, Lajos Tron, Laszlo Balkay
Textural analysis might give new insights into the quantitative characterization of metabolically active tumors. More than thirty textural parameters have been investigated in former F18-FDG studies already. The purpose of the paper is to declare basic requirements as a selection strategy to identify the most appropriate heterogeneity parameters to measure textural features. Our predefined requirements were: a reliable heterogeneity parameter has to be volume independent, reproducible, and suitable for expressing quantitatively the degree of heterogeneity...
2016: PloS One
Yin-Yin Liao, Kuen-Cheh Yang, Ming-Ju Lee, Kuo-Chin Huang, Jin-De Chen, Chih-Kuang Yeh
Nonalcoholic fatty liver disease (NAFLD) is a chronic liver disease related to metabolic syndrome. This study applied an integrated analysis based on texture, backscattering, and attenuation features in ultrasound imaging with the aim of assessing the severity of NAFLD. Ultrasound radiofrequency data obtained from 394 clinical cases were analyzed to extract three texture features (autocorrelation, sum average, and sum variance), the signal-to-noise ratio (SNR), and the slope of the center-frequency downshift (CFDS slope)...
October 13, 2016: Scientific Reports
Virginia Brancato, Alessandro Garziano, Filomena Gioiella, Francesco Urciuolo, Giorgia Imparato, Valeria Panzetta, Sabato Fusco, Paolo A Netti
: We fabricated three-dimensional microtissues with the aim to replicate in vitro the composition and the functionalities of the tumor microenvironment. By arranging either normal fibroblasts (NF) or cancer-activated fibroblasts (CAF) in two different three dimensional (3D) configurations, two kinds of micromodules were produced: spheroids and microtissues. Spheroids were obtained by means of the traditional cell aggregation technique resulting in a 3D model characterized by high cell density and low amount of extracellular proteins...
October 6, 2016: Acta Biomaterialia
Meijun Sun, Dong Zhang, Li Liu, Zheng Wang
Hyperspectral imaging (HSI) in the near-infrared (NIR) region (900-1700nm) was used for non-intrusive quality measurements (of sweetness and texture) in melons. First, HSI data from melon samples were acquired to extract the spectral signatures. The corresponding sample sweetness and hardness values were recorded using traditional intrusive methods. Partial least squares regression (PLSR), principal component analysis (PCA), support vector machine (SVM), and artificial neural network (ANN) models were created to predict melon sweetness and hardness values from the hyperspectral data...
March 1, 2017: Food Chemistry
Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Bartlomiej Grala, Malgorzata Lorent
BACKGROUND: Hot-spot based examination of immunohistochemically stained histological specimens is one of the most important procedures in pathomorphological practice. The development of image acquisition equipment and computational units allows for the automation of this process. Moreover, a lot of possible technical problems occur in everyday histological material, which increases the complexity of the problem. Thus, a full context-based analysis of histological specimens is also needed in the quantification of immunohistochemically stained specimens...
October 7, 2016: Diagnostic Pathology
Manabu Kinoshita, Mio Sakai, Hideyuki Arita, Tomoko Shofuda, Yasuyoshi Chiba, Naoki Kagawa, Yoshiyuki Watanabe, Naoya Hashimoto, Yasunori Fujimoto, Toshiki Yoshimine, Katsuyuki Nakanishi, Yonehiro Kanemura
Reports have suggested that tumor textures presented on T2-weighted images correlate with the genetic status of glioma. Therefore, development of an image analyzing framework that is capable of objective and high throughput image texture analysis for large scale image data collection is needed. The current study aimed to address the development of such a framework by introducing two novel parameters for image textures on T2-weighted images, i.e., Shannon entropy and Prewitt filtering. Twenty-two WHO grade 2 and 28 grade 3 glioma patients were collected whose pre-surgical MRI and IDH1 mutation status were available...
2016: PloS One
Rudolf A Werner, Constantin Lapa, Harun Ilhan, Takahiro Higuchi, Andreas K Buck, Sebastian Lehner, Peter Bartenstein, Frank Bengel, Imke Schatka, Dirk O Muegge, László Papp, Norbert Zsótér, Tobias Große-Ophoff, Markus Essler, Ralph A Bundschuh
The NETTER-1 trial demonstrated significantly improved progression-free survival (PFS) for peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumors (NET) emphasizing the high demand for response prediction in appropriate candidates. In this multicenter study, we aimed to elucidate the prognostic value of tumor heterogeneity as assessed by somatostatin receptor (SSTR)-PET/CT. 141 patients with SSTR-expressing tumors were analyzed obtaining SSTR-PET/CT before PRRT (1-6 cycles, 177Lu somatostatin analog)...
October 2, 2016: Oncotarget
Jae-Hun Kim, Eun Sook Ko, Yaeji Lim, Kyung Soo Lee, Boo-Kyung Han, Eun Young Ko, Soo Yeon Hahn, Seok Jin Nam
Purpose To determine the relationship between tumor heterogeneity assessed by means of magnetic resonance (MR) imaging texture analysis and survival outcomes in patients with primary breast cancer. Materials and Methods Between January and August 2010, texture analysis of the entire primary breast tumor in 203 patients was performed with T2-weighted and contrast material-enhanced T1-weighted subtraction MR imaging for preoperative staging. Histogram-based uniformity and entropy were calculated. To dichotomize texture parameters for survival analysis, the 10-fold cross-validation method was used to determine cutoff points in the receiver operating characteristic curve analysis...
October 4, 2016: Radiology
Yangjie Wei, Yuwei Zhang
Real-time and accurate detection of the sailing or water area will help realize unmanned surface vehicle (USV) systems. Although there are some methods for using optical images in USV-oriented environmental modeling, both the robustness and precision of these published waterline detection methods are comparatively low for a real USV system moving in a complicated environment. This paper proposes an efficient waterline detection method based on structure extraction and texture analysis with respect to optical images and presents a practical application to a USV system for validation...
2016: Sensors
Riku Turkki, Nina Linder, Panu E Kovanen, Teijo Pellinen, Johan Lundin
BACKGROUND: Immune cell infiltration in tumor is an emerging prognostic biomarker in breast cancer. The gold standard for quantification of immune cells in tissue sections is visual assessment through a microscope, which is subjective and semi-quantitative. In this study, we propose and evaluate an approach based on antibody-guided annotation and deep learning to quantify immune cell-rich areas in hematoxylin and eosin (H&E) stained samples. METHODS: Consecutive sections of formalin-fixed parafin-embedded samples obtained from the primary tumor of twenty breast cancer patients were cut and stained with H&E and the pan-leukocyte CD45 antibody...
2016: Journal of Pathology Informatics
Akira Saito, Yasushi Numata, Takuya Hamada, Tomoyoshi Horisawa, Eric Cosatto, Hans-Peter Graf, Masahiko Kuroda, Yoichiro Yamamoto
BACKGROUND: Recent developments in molecular pathology and genetic/epigenetic analysis of cancer tissue have resulted in a marked increase in objective and measurable data. In comparison, the traditional morphological analysis approach to pathology diagnosis, which can connect these molecular data and clinical diagnosis, is still mostly subjective. Even though the advent and popularization of digital pathology has provided a boost to computer-aided diagnosis, some important pathological concepts still remain largely non-quantitative and their associated data measurements depend on the pathologist's sense and experience...
2016: Journal of Pathology Informatics
Mayara B V Mundim, Danilo R Dias, Ronaldo M Costa, Cláudio R Leles, Paulo M Azevedo-Marques, Rejane F Ribeiro-Rotta
BACKGROUND AND OBJECTIVES: Computer vision extracts features or attributes from images improving diagnosis accuracy and aiding in clinical decisions. This study aims to investigate the feasibility of using texture analysis of periapical radiograph images as a tool for dental implant treatment planning. METHODS: Periapical radiograph images of 127 jawbone sites were obtained before and after implant placement. From the superimposition of the pre- and post-implant images, four regions of interest (ROI) were delineated on the pre-implant images for each implant site: mesial, distal and apical peri-implant areas and a central area...
November 2016: Computer Methods and Programs in Biomedicine
Katsuya Mitamura, Yuka Yamamoto, Nobuyuki Kudomi, Yukito Maeda, Takashi Norikane, Keisuke Miyake, Yoshihiro Nishiyama
BACKGROUND: The nucleoside analog 3'-deoxy-3'-(18)F-fluorothymidine (FLT) has been investigated for evaluating tumor proliferating activity in brain tumors. We evaluated FLT uptake heterogeneity using textural features from the histogram analysis in patients with newly diagnosed gliomas and examined correlation of the results with proliferative activity and patient prognosis, in comparison with the conventional PET parameters. METHODS: FLT PET was investigated in 37 patients with newly diagnosed gliomas...
September 29, 2016: Annals of Nuclear Medicine
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...
2016: Journal of Applied Clinical Medical Physics
Nemanja Rajković, Tijana Vujasinović, Ksenija Kanjer, Nebojša T Milošević, Dragica Nikolić-Vukosavljević, Marko Radulovic
AIM: Breast cancer prognosis is in the spotlight owing to its potentially major clinical importance in effective therapeutic management. Following our recent prognostic establishment of the fractal features calculated on binary breast tumor histopathology images, this study aimed to accomplish the first optimization of this methodology by direct comparison of monofractal, multifractal and co-occurrence algorithms in analysis of binary versus grayscale image formats. PATIENTS & METHODS: The study included 93 patients with invasive breast cancer, without systemic treatment and a long median follow-up of 150 months...
October 2016: Biomarkers in Medicine
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"