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Histogram analysis texture analysis

Osamu Manabe, Hiroshi Ohira, Kenji Hirata, Souichiro Hayashi, Masanao Naya, Ichizo Tsujino, Tadao Aikawa, Kazuhiro Koyanagawa, Noriko Oyama-Manabe, Yuuki Tomiyama, Keiichi Magota, Keiichiro Yoshinaga, Nagara Tamaki
PURPOSE: 18 F-fluorodeoxyglocose positron emission tomography (FDG PET) plays a significant role in the diagnosis of cardiac sarcoidosis (CS). Texture analysis is a group of computational methods for evaluating the inhomogeneity among adjacent pixels or voxels. We investigated whether texture analysis applied to myocardial FDG uptake has diagnostic value in patients with CS. METHODS: Thirty-seven CS patients (CS group), and 52 patients who underwent FDG PET/CT to detect malignant tumors with any FDG cardiac uptake (non-CS group) were studied...
October 16, 2018: European Journal of Nuclear Medicine and Molecular Imaging
Noriyuki Fujima, Kenji Hirata, Tohru Shiga, Koichi Yasuda, Rikiya Onimaru, Kazuhiko Tsuchiya, Satoshi Kano, Takatsugu Mizumachi, Akihiro Homma, Kohsuke Kudo, Hiroki Shirato
Background: To investigate the utility of quantitative morphological and intratumoral characteristics obtained by 18 F-fluorodeoxyglucose positron-emission tomography/computed tomography (FDG-PET/CT) for the prediction of treatment outcome in patients with nasal or paranasal cavity squamous cell carcinoma (SCC). Methods: Twenty-four patients with nasal or paranasal cavity SCC who received curative non-surgical therapy (a combination of super-selective arterial cisplatin infusion and radiotherapy) were retrospectively analyzed...
September 2018: Quantitative Imaging in Medicine and Surgery
Nodera Hiroyuki, Sogawa Kazuki, Takamatsu Naoko, Mori Atsuko, Yamazaki Hiroki, Izumi Yuishin, Kaji Ryuji
Texture analysis characterizes regions in an image by their texture content and has been utilized to infer the underlying structures of medical images such as skeletal muscles. Although potentially useful in tissue diagnosis and assessing disease progression of neuromuscular diseases, the use of texture analysis in such purposes are limited, due to lack of information such as effects of aging. Thus, we performed texture analysis of medial gastrocnemius in healthy individuals form their 20s to late 80s. Among the 283 texture features in 6 classes, the features related to histogram, co-occurrence matrix, absolute gradient, and wavelet were correlated to age in 17-40% of the parameters, while none of the features related to run-length matrix and autoregressive model had significant correlation to age...
2018: Journal of Medical Investigation: JMI
Fei Yang, Lori A Young, Perry B Johnson
BACKGROUND AND PURPOSE: Radiomics textural features derived from PET imaging are of broad and current interest due to recent evidence of their prognostic value during cancer management. An inherent assumption is the link between these imaging features and the underlying tumoral phenotypic spatial heterogeneity. The purpose of this work was to validate this assumption for tumors within the lung through a comparison of image based textural features and the ground truth activity distribution from which the images were created...
September 29, 2018: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
T Gibbs, A D M Villa, E Sammut, S Jeyabraba, G Carr-White, T F Ismail, G Mullen, B Ganeshan, A Chiribiri
AIM: To determine whether heterogeneity of cardiac scar, as assessed by cardiovascular magnetic resonance (CMR) texture analysis, may provide insight into better risk stratification for patients with previous myocardial infarction (MI). MATERIALS AND METHODS: Patients with previous MI (n=76) were followed for a median of 371.5 days after late gadolinium enhancement (LGE) CMR. The primary endpoint was a composite of ventricular tachycardia, ventricular fibrillation, or unexplained syncope...
September 26, 2018: Clinical Radiology
Xiao-Ning Shao, Ying-Jie Sun, Kun-Tao Xiao, Yong Zhang, Wen-Bo Zhang, Zhi-Feng Kou, Jing-Liang Cheng
The diagnosis of dilated cardiomyopathy (DCM) remains a challenge in clinical radiology. This study aimed to investigate whether texture analysis (TA) parameters on magnetic resonance T1 mapping can be helpful for the diagnosis of DCM.A total of 50 DCM cases were retrospectively screened and 24 healthy controls were prospectively recruited between March 2015 and July 2017. T1 maps were acquired using the Modified Look-Locker Inversion Recovery (MOLLI) sequence at a 3.0 T MR scanner. The endocardium and epicardium were drawn on the short-axis slices of the T1 maps by an experienced radiologist...
September 2018: Medicine (Baltimore)
Laura Filograna, Jacopo Lenkowicz, Francesco Cellini, Nicola Dinapoli, Stefania Manfrida, Nicola Magarelli, Antonio Leone, Cesare Colosimo, Vincenzo Valentini
OBJECTIVES: Recently, radiomic analysis has gained attention as a valuable instrument for the management of oncological patients. The aim of the study is to isolate which features of magnetic resonance imaging (MRI)-based radiomic analysis have to be considered the most significant predictors of metastasis in oncological patients with spinal bone marrow metastatic disease. MATERIALS AND METHODS: Eight oncological patients (3 lung cancer; 1 prostatic cancer; 1 esophageal cancer; 1 nasopharyngeal cancer; 1 hepatocarcinoma; 1 breast cancer) with pre-radiotherapy MR imaging for a total of 58 dorsal vertebral bodies, 29 metastatic and 29 non-metastatic were included...
September 6, 2018: La Radiologia Medica
Austin Ditmer, Bin Zhang, Taimur Shujaat, Andrew Pavlina, Nicholas Luibrand, Mary Gaskill-Shipley, Achala Vagal
PURPOSE: Texture analysis (TA) can quantify variations in surface intensity or patterns, including some that are imperceptible to the human visual system. The purpose of this study was to determine the diagnostic accuracy of radiomic based filtration-histogram TA to differentiate high-grade from low-grade gliomas by assessing tumor heterogeneity. METHODS: Patients with a histopathological diagnosis of glioma and preoperative 3T MRI imaging were included in this retrospective study...
August 25, 2018: Journal of Neuro-oncology
Elisabetta De Bernardi, Alessandro Buda, Luca Guerra, Debora Vicini, Federica Elisei, Claudio Landoni, Robert Fruscio, Cristina Messa, Cinzia Crivellaro
BACKGROUND: A radiomic approach was applied in 18F-FDG PET endometrial cancer, to investigate if imaging features computed on the primary tumour could improve sensitivity in nodal metastases detection. One hundred fifteen women with histologically proven endometrial cancer who underwent preoperative 18F-FDG PET/CT were retrospectively considered. SUV, MTV, TLG, geometrical shape, histograms and texture features were computed inside tumour contours. On a first group of 86 patients (DB1), univariate association with LN metastases was computed by Mann-Whitney test and a neural network multivariate model was developed...
August 22, 2018: EJNMMI Research
Sigmund Ytre-Hauge, Julie A Dybvik, Arvid Lundervold, Øyvind O Salvesen, Camilla Krakstad, Kristine E Fasmer, Henrica M Werner, Balaji Ganeshan, Erling Høivik, Line Bjørge, Jone Trovik, Ingfrid S Haldorsen
BACKGROUND: Improved methods for preoperative risk stratification in endometrial cancer are highly requested by gynecologists. Texture analysis is a method for quantification of heterogeneity in images, increasingly reported as a promising diagnostic tool in various cancer types, but largely unexplored in endometrial cancer. PURPOSE: To explore whether tumor texture parameters from preoperative MRI are related to known prognostic features (deep myometrial invasion, cervical stroma invasion, lymph node metastases, and high-risk histological subtype) and to outcome in endometrial cancer patients...
August 13, 2018: Journal of Magnetic Resonance Imaging: JMRI
Angeliki Theodosi, Dimitris Glotsos, Spiros Kostopoulos, Ioannis Kalatzis, Vassiliki Tzelepi, Panagiota Ravazoula, Pantelis Asvestas, Dionisis Cavouras, George Sakellaropoulos
OBJECTIVE: The objective of this study was to study the textural and color changes occurring in the epithelial gland tissue with advancing colorectal cancer (CRC), utilizing immunohistochemical stain for AIB1 expression biopsy material. MATERIAL AND METHODS: Clinical material comprised biopsy specimens of 67 patients with a diagnosis of CRC. Two experienced pathologists used H&E-stained material for grading CRC lesions and immunohistochemical (IHC) stain for AIB1 expression...
August 8, 2018: Applied Immunohistochemistry & Molecular Morphology: AIMM
Haojie Li, Anqin Li, Hui Zhu, Yao Hu, Jiali Li, Liming Xia, Daoyu Hu, Ihab R Kamel, Zhen Li
AIM: To evaluate the diagnostic value of whole-tumor quantitative apparent diffusion coefficient (ADC) histogram and texture analysis for differentiation of minimal fat angiomyolipoma (MFAML) from clear cell renal cell carcinoma (ccRCC). MATERIALS AND METHODS: We retrospectively reviewed 27 patients with MFAML and 113 patients with ccRCC pathologically proven. All patients performed magnetic resonance imaging (MRI) including diffusion-weighted imaging (b = 0, 800s/mm2 )...
August 4, 2018: Academic Radiology
Chengquan Zhou, Dong Liang, Xiaodong Yang, Hao Yang, Jibo Yue, Guijun Yang
The number of wheat ears in the field is very important data for predicting crop growth and estimating crop yield and as such is receiving ever-increasing research attention. To obtain such data, we propose a novel algorithm that uses computer vision to accurately recognize wheat ears in a digital image. First, red-green-blue images acquired by a manned ground vehicle are selected based on light intensity to ensure that this method is robust with respect to light intensity. Next, the selected images are cut to ensure that the target can be identified in the remaining parts...
2018: Frontiers in Plant Science
A Palmisano, A Esposito, P M V Rancoita, A Di Chiara, P Passoni, N Slim, M Campolongo, L Albarello, C Fiorino, R Rosati, A Del Maschio, F De Cobelli
AIM: To evaluate whether perfusion heterogeneity of rectal cancer prior to chemoradiotherapy (CRT) using histogram analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) quantitative parameters can predict response to treatment. MATERIALS AND METHODS: Twenty-one patients with histologically proven rectal adenocarcinoma were enrolled prospectively. All patients underwent 1.5 T DCE-MRI before CRT. Tumour volumes were drawn on Ktrans and Ve maps, using T2-weighted (W) images as reference, and the following first-order texture parameters of Ve and Ktrans values were extracted: 25th, 50th, 75th percentile, mean, standard deviation, skewness, and kurtosis...
October 2018: Clinical Radiology
Carlos López-Gómez, Rafael Ortiz-Ramón, Enrique Mollá-Olmos, David Moratal
The current criteria for diagnosing Alzheimer's disease (AD) require the presence of relevant cognitive deficits, so the underlying neuropathological damage is important by the time the diagnosis is made. Therefore, the evaluation of new biomarkers to detect AD in its early stages has become one of the main research focuses. The purpose of the present study was to evaluate a set of texture parameters as potential biomarkers of the disease. To this end, the ALTEA (ALzheimer TExture Analyzer) software tool was created to perform 2D and 3D texture analysis on magnetic resonance images...
July 19, 2018: Diagnostics
Ting-Wei Fan, Harshawn Malhi, Bino Varghese, Steve Cen, Darryl Hwang, Manju Aron, Nieroshan Rajarubendra, Mihir Desai, Vinay Duddalwar
PURPOSE: The purpose of the study is to determine the feasibility of using computed tomography-based texture analysis (CTTA) in differentiating between urothelial carcinomas (UC) of the bladder from micropapillary carcinomas (MPC) of the bladder. METHODS: Regions of interests (ROIs) of computerized tomography (CT) images of 33 MPCs and 33 UCs were manually segmented and saved. Custom MATLAB code was used to extract voxel information corresponding to the ROI. The segmented tumors were input to a pre-existing radiomics platform with a CTTA panel...
July 18, 2018: Abdominal Radiology
Yun-Xiang Bai, Shu-Hui Zhang, Zhi Fan, Xing-Yu Liu, Xin Zhao, Xi-Zeng Feng, Ming-Zhu Sun
As an excellent model organism, zebrafish have been widely applied in many fields. The accurate identification and tracking of individuals are crucial for zebrafish shoaling behaviour analysis. However, multi-zebrafish tracking still faces many challenges. It is difficult to keep identified for a long time due to fish overlapping caused by the crossings. Here we proposed an improved Histogram of Oriented Gradient (HOG) algorithm to calculate the stable back texture feature map of zebrafish, then tracked multi-zebrafish in a fully automated fashion with low sample size, high tracking accuracy and wide applicability...
July 18, 2018: Scientific Reports
Jiawei Chen, Haibin Chen, Zichun Zhong, Zhuoyu Wang, Brian Hrycushko, Linghong Zhou, Steve Jiang, Kevin Albuquerque, Xuejun Gu, Xin Zhen
BACKGROUND: Better knowledge of the dose-toxicity relationship is essential for safe dose escalation to improve local control in cervical cancer radiotherapy. The conventional dose-toxicity model is based on the dose volume histogram, which is the parameter lacking spatial dose information. To overcome this limit, we explore a comprehensive rectal dose-toxicity model based on both dose volume histogram and dose map features for accurate radiation toxicity prediction. METHODS: Forty-two cervical cancer patients treated with combined external beam radiotherapy (EBRT) and brachytherapy (BT) were retrospectively studied, including 12 with Grade ≥ 2 rectum toxicity and 30 patients with Grade 0-1 toxicity (non-toxicity patients)...
July 6, 2018: Radiation Oncology
Huan Zhang, Wenhua Li, Feixiang Hu, Yiqun Sun, Tingdan Hu, Tong Tong
PURPOSE: The purpose of the study was to determine whether the pre-treated MR texture features of colorectal liver metastases (CRLMs) are predictive of therapeutic response after chemotherapy. METHODS: The study included twenty-six consecutive patients (a total of 193 liver metastasis) with unrespectable CRLMs at our institution from August 2014 to February 2016. Lesions were categorized into either responding group or non-responding group according to changes in size...
July 2, 2018: Abdominal Radiology
Christophe Nioche, Fanny Orlhac, Sarah Boughdad, Sylvain Reuzé, Jessica Goya-Outi, Charlotte Robert, Claire Pellot-Barakat, Michael Soussan, Frédérique Frouin, Irène Buvat
Textural and shape analysis is gaining considerable interest in medical imaging, particularly to identify parameters characterizing tumor heterogeneity and to feed radiomic models. Here, we present a free, multiplatform, and easy-to-use freeware called LIFEx, which enables the calculation of conventional, histogram-based, textural, and shape features from PET, SPECT, MR, CT, and US images, or from any combination of imaging modalities. The application does not require any programming skills and was developed for medical imaging professionals...
August 15, 2018: Cancer Research
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