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Image Texture Analysis

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https://www.readbyqxmd.com/read/29778890/dual-photoacoustic-ultrasound-multi-parametric-imaging-from-passion-fruit-like-nano-architectures
#1
Paolo Armanetti, Salvador Pocoví-Martínez, Alessandra Flori, Cinzia Avigo, Domenico Cassano, Luca Menichetti, Valerio Voliani
Ultrasound (US) imaging is a well-established diagnostic technique to image soft tissues in real time, while photoacoustic (PA) is an emerging imaging technique employed to collect molecular information. Integration of PA and US imaging provides complementary information enhancing diagnostic accuracy without employing ionizing radiations. The development of contrast agents able to combine PA and US features is pivotal to improve the significance of PAUS imaging and for PAUS-guided treatment of neoplasms. Here, we demonstrate in relevant ex-vivo models that disassembling passion fruit-like nano-architectures (pfNAs) can be employed in PAUS imaging...
May 17, 2018: Nanomedicine: Nanotechnology, Biology, and Medicine
https://www.readbyqxmd.com/read/29777107/differentiation-of-periapical-granulomas-and-cysts-by-using-dental-mri-a-pilot-study
#2
Alexander Juerchott, Thorsten Pfefferle, Christa Flechtenmacher, Johannes Mente, Martin Bendszus, Sabine Heiland, Tim Hilgenfeld
The purpose of this pilot study was to evaluate whether periapical granulomas can be differentiated from periapical cysts in vivo by using dental magnetic resonance imaging (MRI). Prior to apicoectomy, 11 patients with radiographically confirmed periapical lesions underwent dental MRI, including fat-saturated T2-weighted (T2wFS) images, non-contrast-enhanced T1-weighted images with and without fat saturation (T1w/T1wFS), and contrast-enhanced fat-saturated T1-weighted (T1wFS+C) images. Two independent observers performed structured image analysis of MRI datasets twice...
May 17, 2018: International Journal of Oral Science
https://www.readbyqxmd.com/read/29774460/multi-layer-cube-sampling-for-liver-boundary-detection-in-pet-ct-images
#3
Xinxin Liu, Jian Yang, Shuang Song, Hong Song, Danni Ai, Jianjun Zhu, Yurong Jiang, Yongtian Wang
Liver metabolic information is considered as a crucial diagnostic marker for the diagnosis of fever of unknown origin, and liver recognition is the basis of automatic diagnosis of metabolic information extraction. However, the poor quality of PET and CT images is a challenge for information extraction and target recognition in PET-CT images. The existing detection method cannot meet the requirement of liver recognition in PET-CT images, which is the key problem in the big data analysis of PET-CT images. A novel texture feature descriptor called multi-layer cube sampling (MLCS) is developed for liver boundary detection in low-dose CT and PET images...
May 17, 2018: Australasian Physical & Engineering Sciences in Medicine
https://www.readbyqxmd.com/read/29769456/machine-learning-based-texture-analysis-of-contrast-enhanced-mr-imaging-to-differentiate-between-glioblastoma-and-primary-central-nervous-system-lymphoma
#4
Akira Kunimatsu, Natsuko Kunimatsu, Koichiro Yasaka, Hiroyuki Akai, Kouhei Kamiya, Takeyuki Watadani, Harushi Mori, Osamu Abe
PURPOSE: Although advanced MRI techniques are increasingly available, imaging differentiation between glioblastoma and primary central nervous system lymphoma (PCNSL) is sometimes confusing. We aimed to evaluate the performance of image classification by support vector machine, a method of traditional machine learning, using texture features computed from contrast-enhanced T1 -weighted images. METHODS: This retrospective study on preoperative brain tumor MRI included 76 consecutives, initially treated patients with glioblastoma (n = 55) or PCNSL (n = 21) from one institution, consisting of independent training group (n = 60: 44 glioblastomas and 16 PCNSLs) and test group (n = 16: 11 glioblastomas and 5 PCNSLs) sequentially separated by time periods...
May 16, 2018: Magnetic Resonance in Medical Sciences: MRMS
https://www.readbyqxmd.com/read/29761357/classifying-brain-metastases-by-their-primary-site-of-origin-using-a-radiomics-approach-based-on-texture-analysis-a-feasibility-study
#5
Rafael Ortiz-Ramón, Andrés Larroza, Silvia Ruiz-España, Estanislao Arana, David Moratal
OBJECTIVE: To examine the capability of MRI texture analysis to differentiate the primary site of origin of brain metastases following a radiomics approach. METHODS: Sixty-seven untreated brain metastases (BM) were found in 3D T1-weighted MRI of 38 patients with cancer: 27 from lung cancer, 23 from melanoma and 17 from breast cancer. These lesions were segmented in 2D and 3D to compare the discriminative power of 2D and 3D texture features. The images were quantized using different number of gray-levels to test the influence of quantization...
May 14, 2018: European Radiology
https://www.readbyqxmd.com/read/29756120/quantitative-image-analysis-for-evaluation-of-tumor-response-in-clinical-oncology
#6
Wen-Li Cai, Guo-Bin Hong
The objective, accurate, and standardized evaluation of tumor response to treatment is an indispensable procedure in clinical oncology. Compared to manual measurement, computer-assisted linear measurement can significantly improve the accuracy and reproducibility of tumor burden quantification. For irregular-shaped and infiltrating or diffuse tumors, which are difficult to quantify by linear measurement, computer-assisted volumetric measurement may provide a more objective and sensitive quantification to evaluate tumor response to treatment than linear measurement does...
March 2018: Chronic Diseases and Translational Medicine
https://www.readbyqxmd.com/read/29751945/thoughts-on-entering-correlated-imaging-variables-into-a-multivariable-model-application-to-radiomics-and-texture-analysis
#7
EDITORIAL
E Matzner-Lober, C M Suehs, A Dohan, N Molinari
No abstract text is available yet for this article.
May 2018: Diagnostic and Interventional Imaging
https://www.readbyqxmd.com/read/29748206/deep-learning-convolutional-neural-networks-accurately-classify-genetic-mutations-in-gliomas
#8
P Chang, J Grinband, B D Weinberg, M Bardis, M Khy, G Cadena, M-Y Su, S Cha, C G Filippi, D Bota, P Baldi, L M Poisson, R Jain, D Chow
BACKGROUND AND PURPOSE: The World Health Organization has recently placed new emphasis on the integration of genetic information for gliomas. While tissue sampling remains the criterion standard, noninvasive imaging techniques may provide complimentary insight into clinically relevant genetic mutations. Our aim was to train a convolutional neural network to independently predict underlying molecular genetic mutation status in gliomas with high accuracy and identify the most predictive imaging features for each mutation...
May 10, 2018: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/29745561/-image-segmentation-and-classification-of-cytological-cells-based-on-multi-features-clustering-and-chain-splitting-model
#9
Pin Wang, Qianqian Liu, Lirui Wang, Yongming Li, Shujun Liu, Fang Yan
The diagnosis of pancreatic cancer is very important. The main method of diagnosis is based on pathological analysis of microscopic image of Pap smear slide. The accurate segmentation and classification of images are two important phases of the analysis. In this paper, we proposed a new automatic segmentation and classification method for microscopic images of pancreas. For the segmentation phase, firstly multi-features Mean-shift clustering algorithm (MFMS) was applied to localize regions of nuclei. Then, chain splitting model (CSM) containing flexible mathematical morphology and curvature scale space corner detection method was applied to split overlapped cells for better accuracy and robustness...
August 1, 2017: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29745558/-feasibility-analysis-of-predicting-expression-of-estrogen-receptor-in-breast-cancer-based-on-radiomics
#10
Tongtong Liu, Jiawei Li, Yuzhou Hu, Jinhua Yu, Yi Guo, Yuanyuan Wang, Cai Chang
This study aims to predict expression of estrogen receptor (ER) in breast cancer by radiomics. Firstly, breast cancer images are segmented automatically by phase-based active contour (PBAC) method. Secondly, high-throughput features of ultrasound images are extracted and quantized. A total of 404 high-throughput features are divided into three categories, such as morphology, texture and wavelet. Then, the features are selected by R language and genetic algorithm combining minimum-redundancy-maximum-relevance (mRMR) criterion...
August 1, 2017: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29745513/-assessment-of-skin-aging-grading-based-on-computer-vision
#11
Lingyu Li, Jinxia Xue, Xiangqian He, Sheng Zhang, Chu Fan
Skin aging is the most intuitive and obvious sign of the human aging processes. Qualitative and quantitative determination of skin aging is of particular importance for the evaluation of human aging and anti-aging treatment effects. To solve the problem of subjectivity of conventional skin aging grading methods, the self-organizing map (SOM) network was used to explore an automatic method for skin aging grading. First, the ventral forearm skin images were obtained by a portable digital microscope and two texture parameters, i...
June 1, 2017: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29741256/optimizing-morphology-through-blood-cell-image-analysis
#12
REVIEW
A Merino, L Puigví, L Boldú, S Alférez, J Rodellar
INTRODUCTION: Morphological review of the peripheral blood smear is still a crucial diagnostic aid as it provides relevant information related to the diagnosis and is important for selection of additional techniques. Nevertheless, the distinctive cytological characteristics of the blood cells are subjective and influenced by the reviewer's interpretation and, because of that, translating subjective morphological examination into objective parameters is a challenge. METHODS: The use of digital microscopy systems has been extended in the clinical laboratories...
May 2018: International Journal of Laboratory Hematology
https://www.readbyqxmd.com/read/29740111/tumor-heterogeneity-of-pancreas-head-cancer-assessed-by-ct-texture-analysis-association-with-survival-outcomes-after-curative-resection
#13
Gabin Yun, Young Hoon Kim, Yoon Jin Lee, Bohyoung Kim, Jin-Hyeok Hwang, Dong Joon Choi
The value of image based texture features as a powerful method to predict prognosis and assist clinical management in cancer patients has been established recently. However, texture analysis using histograms and grey-level co-occurrence matrix in pancreas cancer patients has rarely been reported. We aimed to analyze the association of survival outcomes with texture features in pancreas head cancer patients. Eighty-eight pancreas head cancer patients who underwent preoperative CT images followed by curative resection were included...
May 8, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29735443/-differential-diagnosis-of-hepatocellular-carcinoma-and-hepatic-hemangiomas-based-on-radiomic-features-of-gadoxetate-disodium-enhanced-magnetic-resonance-imaging
#14
Mao-Dong Chen, Jing Zhang, Gui-Xiang Yang, Jie-Min Lin, Yan-Qiu Feng
OBJECTIVE: To evaluate the feasibility of using radiomic features for differential diagnosis of hepatocellular carcinoma (HCC) and hepatic cavernous hemangioma (HHE). METHODS: Gadoxetate disodium-enhanced magnetic resonance imaging data were collected from a total of 135 HCC and HHE lesions. The radiomic texture features of each lesion were extracted on the hepatobiliary phase images, and the performance of each feature was assessed in differentiation and classification of HCC and HHE...
April 20, 2018: Nan Fang Yi Ke da Xue Xue Bao, Journal of Southern Medical University
https://www.readbyqxmd.com/read/29735317/risk-marker-variability-in-subclinical-carotid-plaques-based-on-ultrasound-is-influenced-by-cardiac-phase-echogenicity-and-size
#15
Emma Nyman, Per Lindqvist, Ulf Näslund, Christer Grönlund
Identification of risk markers based on quantitative ultrasound texture analysis of carotid plaques has the ability to define vulnerable components that correlate with increased cardiovascular risk. However, data describing factors with the potential to influence the measurement variability of risk markers are limited. The aim of this study was to evaluate the influence of electrocardiogram-guided image selection, plaque echogenicity and area on carotid plaque risk markers and their variability in asymptomatic carotid plaques...
May 4, 2018: Ultrasound in Medicine & Biology
https://www.readbyqxmd.com/read/29731887/texture-analysis-of-diffusion-weighted-imaging-for-the-evaluation-of-glioma-heterogeneity-based-on-different-regions-of-interest
#16
Shan Wang, Meng Meng, Xue Zhang, Chen Wu, Ru Wang, Jiangfen Wu, Muhammad Umair Sami, Kai Xu
The present study aimed to explore the role of texture analysis with apparent diffusion coefficient (ADC) maps based on different regions of interest (ROI) in determining glioma grade. Thirty patients with glioma underwent diffusion-weighted imaging (DWI). ADC values were determined from the following three ROIs: i) whole tumor; ii) solid portion; and iii) peritumoral edema. Texture features were compared between high-grade gliomas (HGGs) and low-grade gliomas (LGGs) using the non-parametric Wilcoxon rank-sum test or the unpaired Student's t-test...
May 2018: Oncology Letters
https://www.readbyqxmd.com/read/29728817/lge-cmr-derived-texture-features-reflect-poor-prognosis-in-hypertrophic-cardiomyopathy-patients-with-systolic-dysfunction-preliminary-results
#17
Sainan Cheng, Mengjie Fang, Chen Cui, Xiuyu Chen, Gang Yin, Sanjay K Prasad, Di Dong, Jie Tian, Shihua Zhao
OBJECTIVES: To evaluate the prognostic value of texture features based on late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) images in hypertrophic cardiomyopathy (HCM) patients with systolic dysfunction. METHODS: 67 HCM patients with systolic dysfunction (41 male and 26 female, mean age ± standard deviation, 46.20 years ± 13.38) were enrolled. All patients underwent 1.5 T CMR cine and LGE imaging. Texture features were extracted from LGE images...
May 4, 2018: European Radiology
https://www.readbyqxmd.com/read/29728249/false-positive-reduction-in-computer-aided-mass-detection-using-mammographic-texture-analysis-and-classification
#18
Sami Dhahbi, Walid Barhoumi, Jaroslaw Kurek, Bartosz Swiderski, Michal Kruk, Ezzeddine Zagrouba
BACKGROUND AND OBJECTIVE: The aim of computer-aided-detection (CAD) systems for mammograms is to assist radiologists by marking region of interest (ROIs) depicting abnormalities. However, the confusing appearance of some normal tissues that visually look like masses results in a large proportion of marked ROIs with normal tissues. This paper copes with this problem and proposes a framework to reduce false positive masses detected by CAD. METHODS: To avoid the error induced by the segmentation step, we proposed a segmentation-free framework with particular attention to improve feature extraction and classification steps...
July 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29724308/-value-of-magnetic-resonance-imaging-texture-feature-analysis-in-the-differential-diagnosis-between-pancreatic-serous-cystadenoma-and-mucinous-cystadenoma
#19
Bo Tao Wang, Lei He, Gang Liu, Meng Qi Liu, Zhi Ye Chen
Objective To investigate the difference of tumor textures presented on T1-weighted image(T1WI) and T2-weighted image(T2WI) between pancreatic serous cystadenoma and mucinous cystadenoma. Methods Subjects including 24 patients with serous cystadenoma and 20 patients with mucinous cystadenoma who were treated in Hainan Branch of Chinese PLA General Hospital were enrolled in this study.The texture analysis was performed on T1WI and T2WI,and the texture parameters included angular second moment,contrast,correlation,inverse difference moment(IDM),and entropy...
April 28, 2018: Zhongguo Yi Xue Ke Xue Yuan Xue Bao. Acta Academiae Medicinae Sinicae
https://www.readbyqxmd.com/read/29721684/association-of-subchondral-bone-texture-on-magnetic-resonance-imaging-with-radiographic-knee-osteoarthritis-progression-data-from-the-osteoarthritis-initiative-bone-ancillary-study
#20
James W MacKay, Geeta Kapoor, Jeffrey B Driban, Grace H Lo, Timothy E McAlindon, Andoni P Toms, Andrew W McCaskie, Fiona J Gilbert
OBJECTIVES: To assess whether initial or 12-18-month change in magnetic resonance imaging (MRI) subchondral bone texture is predictive of radiographic knee osteoarthritis (OA) progression over 36 months. METHODS: This was a nested case-control study including 122 knees/122 participants in the Osteoarthritis Initiative (OAI) Bone Ancillary Study, who underwent MRI optimised for subchondral bone assessment at either the 30- or 36-month and 48-month OAI visits. Case knees (n = 61) had radiographic OA progression between the 36- and 72-month OAI visits, defined as ≥ 0...
May 2, 2018: European Radiology
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