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Machine Learning-Based Computed Tomography Texture Analysis of Lytic Bone Lesions Needing Biopsy: A Preliminary Study

İlhan Nahit Mutlu, Burak Koçak, Ece Ateş Kuş, Melis Baykara Ulusan, Özgür Kılıçkesmez
2021 Istanbul Medical Journal  
After evaluating unenhanced CT images, a total of 744 texture features were obtained. Reproducibility analysis and feature selection were used for dimension reduction.  ...  This study aimed to evaluate the use of machine learning (ML)based computed tomography (CT) texture analysis to determine benign and malignant behaviors of lytic bone lesions needing a biopsy.  ...  Financial Disclosure: The authors declared that this study received no financial support.  ... 
doi:10.4274/imj.galenos.2021.87528 fatcat:7tiecc24frhppfcrllypifyx5q

Computed Tomography Texture Analysis of Carotid Plaque as Predictor of Unfavorable Outcome after Carotid Artery Stenting: A Preliminary Study

Davide Colombi, Flavio Cesare Bodini, Beatrice Rossi, Margherita Bossalini, Camilla Risoli, Nicola Morelli, Marcello Petrini, Nicola Sverzellati, Emanuele Michieletti
2021 Diagnostics  
The predictive model for unfavorable outcome including CTA textural features outperformed the model without textural features (AUC 0.789 vs 0.695, p = 0.004).  ...  In patients with stenotic carotid plaque, kurtosis derived by CTA density histogram analysis is an independent predictor of unfavorable outcome after CAS.  ...  Since CTA is less operator-dependent and carries fewer limitations than US for texture analysis, we designed this preliminary study to assess the potential role of carotid plaque texture analysis at CTA  ... 
doi:10.3390/diagnostics11122214 pmid:34943451 pmcid:PMC8699962 fatcat:5uohtrhyhnhtpo7vm3pitsd5mi

A Comparative Study of Testing Parameters of Medical Images Processing

Fatima Qamar, Mehreen Sirshar
2017 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Medical imaging is a technique or a process that is used in the visualization of body tissues, parts or organs for the usage in clinical analysis, treatment and disease monitoring.  ...  So this paper presents the comparative study of testing or the quality parameters of the medical image processing that should be check in order to extract the exact information of an image.  ...  uniformity assessment in diagnostic ultrasound imaging.  ... 
doi:10.14257/ijsip.2017.10.1.24 fatcat:onmgrrv3vjexbnarbbf5bjy32e

Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization

U. Rajendra Acharya, Oliver Faust, Vinitha Sree S., A.P.C. Alvin, Ganapathy Krishnamurthi, José C.R. Seabra, João Sanches, Jasjit S. Suri
2013 Computer Methods and Programs in Biomedicine  
Each analyzed ultrasound image yields on SACI number. A high SACI value indicates that the image shows symptomatic and low value indicates asymptomatic plaques.  ...  In this study, we compare support vector machine (SVM) classifiers with different kernels.  ...  Structural texture analysis is more complex when compared to the statistical approach [22] , because it studies the symbolic descriptions of the image.  ... 
doi:10.1016/j.cmpb.2012.09.008 pmid:23122720 fatcat:anre4q34qjho5nugjus3qxjrfu

An Extensive Review of Significant Researches on Medical Image Denoising Techniques

Mredhula. L, M. A. Dorairangasamy
2013 International Journal of Computer Applications  
In addition, a brief description on the digital images and medical images is presented. A concise note on Radiography, Ultrasound, MRI and CT images is also presented.  ...  In this day and age, digital images play a significant role in our day-to-day life. Digital images are utilized in a wide range of fields like medical, business and more.  ...  Based on texture analysis, image quality evaluation metrics, and visual evaluation, Christos Loizou et al.  ... 
doi:10.5120/10699-1551 fatcat:qq7ijy7r7zdhnesrdjow7ucsxq

Automated Segmentation of Abnormal Tissues in Medical Images

H Khastavaneh, H Ebrahimpour-komleh
2019 Journal of Biomedical Physics and Engineering  
As a result, automated segmentation of abnormal tissue is a need. In this study, representative techniques for segmentation of abnormal tissues are reviewed.  ...  Segmentation is a preliminary step for these measurements and also further analysis. Manual segmentation of abnormalities is cumbersome, error prone, and subjective.  ...  An important analysis based on digital medical images is the study of abnormal tissues both in diagnostic and follow-up sessions.  ... 
doi:10.31661/jbpe.v0i0.958 pmid:34458189 pmcid:PMC8385212 fatcat:h2z2oykmsvhdnbffcqo5nhcm34

Ultrasound Image Analysis of the Carotid Artery

C.P. Loizou, Robert S.H. Istepanian
2005 Zenodo  
A total of 11 despeckle filtering methods were evaluated based on texture analysis, image quality evaluation metrics, and visual evaluation made by two experts, on 440 ultrasound images of the carotid  ...  The objective of this work was to carry out a comparative evaluation of despeckle filtering on ultrasound images of the carotid artery, and develop a new segmentation system, for detecting the IMT of the  ...  There is no other study reported in the literature, where texture analysis (Table 6 .5- Table 6 .7) was used to the extent, that is used in our study, to evaluate despeckle filtering in ultrasound imaging  ... 
doi:10.5281/zenodo.2592442 fatcat:cijau57s5fckblbu6ytdrcgxbq

Subjective and objective evaluations of feature selected multi output filter for speckle reduction on ultrasound images

M Outtas, L Zhang, O Deforges, A Serir, W Hamidouche, Y Chen
2018 Physics in Medicine and Biology  
Finally, the correlation between three objective metrics and the perceived quality of contrast, diagnostic, texture and edges show that an objective metric is suitable for assessing quality of ultrasound  ...  The results of objective metrics and subjective evaluation showed that the proposed method reduces speckle and could help radiologists, according to their years of experience, in the diagnostic task.  ...  In this last study about statistics of speckle in ultrasound, the authors point out that the texture in the image of parenchymal tissue could be viewed either as image signal or undesirable noise ?.  ... 
doi:10.1088/1361-6560/aadbc9 pmid:30129565 fatcat:hmi7eh4ypvgghgtrm7jzxh3qwm

The value of the computer-aided diagnosis system for thyroid lesions based on computed tomography images

Chenbin Liu, Shanshan Chen, Yunze Yang, Dangdang Shao, Wenxian Peng, Yan Wang, Yihong Chen, Yuenan Wang
2019 Quantitative Imaging in Medicine and Surgery  
In thyroid cancer identification based on a computed tomography image, we found the system using 17 texture features and support vector machine performed well.  ...  The major challenge is the differential diagnosis of benign or malignant thyroid nodules, so we aim to develop the computer-assisted diagnostic method based on computed tomography (CT) images for thyroid  ...  In this preliminary study, we proposed the CAD systems to evaluate the thyroid nodules based on CT image analysis, selected the CT image features to improve the performance, and evaluated the CAD systems  ... 
doi:10.21037/qims.2019.04.01 pmid:31143655 pmcid:PMC6511723 fatcat:36ejeg3i4bc3poq7hmho26ncyi

A Review of Wavelet Denoising in MRI and Ultrasound Brain Imaging

Aleksandra Pizurica, Alle Wink, Ewout Vansteenkiste, Wilfried Philips, B.Jos Roerdink
2006 Current Medical Imaging Reviews  
A review of wavelet denoising in MRI and ultrasound brain imaging. Current medical imaging reviews, 2(2), 247-260.  ...  Due to its non-invasive nature and easily portable devices, ultrasound imaging is the main imaging modality that is nowadays used for the diagnostics and clinical studies of this brain disease.  ...  -For an experienced radiologist, speckle noise, which is in the medical literature also referred to as "texture" [39] , may present useful diagnostic information [49, 50] .  ... 
doi:10.2174/157340506776930665 fatcat:oi34n7qtcrdopc3imyj6ymnthy

Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy

Lijie Zhang, Zhengguang Chen, Lei Feng, Liwei Guo, Dong Liu, Jinjin Hai, Kai Qiao, Jian Chen, Bin Yan, Genyang Cheng
2021 BMC Medical Imaging  
A total of 180 dimensional features were designed and extracted from the renal parenchyma in the ultrasound images.  ...  Radiomics analysis, a non-invasive method, is helpful for histological classification of glomerulopathy.  ...  In this study, we verified the feasibility of histological classification with ultrasound images and provided an alternative diagnostic technique.  ... 
doi:10.1186/s12880-021-00647-8 pmid:34301205 pmcid:PMC8305820 fatcat:j5qwoislsvbz5d7slzfsfsodha

Computation of the Texture Features on T2-Weighted Images as a Novel Method to Assess the Function of the Transplanted Kidney: Primary Research

Małgorzata Grzywińska, Magdalena Jankowska, Ewa Banach-Ambroziak, Edyta Szurowska, Alicja Dębska-Ślizień
2020 Transplantation Proceedings  
For analysis, we used 9 retrospective examinations in patients with a transplanted kidney. All patients underwent a diagnostic magnetic resonance imaging (MRI) scan, including T2-weighted images.  ...  This preliminary study aims to find a statistical difference between texture features in transplanted kidneys with different placement of region of interest (ROI).  ...  MATERIAL AND METHODS For analysis, we used retrospective examinations in 9 patients with a transplanted kidney. All patients underwent a diagnostic MRI scan, including T2-weighted images [7] .  ... 
doi:10.1016/j.transproceed.2020.02.084 pmid:32253002 fatcat:lfd26ohf3zeczo5aaas3ia2gq4

Texture analysis of optical coherence tomography images: feasibility for tissue classification

Kirk W. Gossage, Tomasz S. Tkaczyk, Jeffrey J. Rodriguez, Jennifer K. Barton
2003 Journal of Biomedical Optics  
We evaluated the application of statistical and spectral texture analysis techniques for differentiating tissue types based on the structural and speckle content in OCT images.  ...  This study shows that texture analysis of OCT images may be capable of differentiating tissue types without reliance on visible structures.  ...  Xianfeng Li for his texture analysis contributions to our lab.  ... 
doi:10.1117/1.1577575 pmid:12880366 fatcat:ixtkonujxrgs3fnm7seehby2nm

Segmentation Methods of Echocardiography Images for Left Ventricle Boundary Detection

Samaneh Mazaheri, Puteri Suhaiza Binti Sulaiman, Rahmita Wirza, Mohd Zamrin Dimon, Fatima Khalid, Rohollah Moosavi Tayebi
2015 Journal of Computer Science  
and critically review recent approaches in terms of their performance and degree of clinical evaluation with respect to the final goal of cardiac functional analysis.  ...  Due to acoustic interferences and artifacts which are inherent in echocardiography images, automatic segmentation of anatomical structures in cardiac ultrasound images is a real challenge.  ...  Authors' Contributions All authors have made substantial contributions to conception and design, data acquisition, analysis and interpretation of the data.  ... 
doi:10.3844/jcssp.2015.957.970 fatcat:hivb6v4ydvdxbfp5rhd4wuljo4

A deep learning model for burn depth classification using ultrasound imaging

Sangrock Lee, Rahul, James Lukan, Tatiana Boyko, Kateryna Zelenova, Basiel Makled, Conner Parsey, Jack Norfleet, Suvranu De
2021 Journal of The Mechanical Behavior of Biomedical Materials  
A post hoc explanation indicates that the classifier activates the discriminative textural features in the B-mode images for burn classification.  ...  This paper presents a deep convolutional neural network to classify burn depth based on altered tissue morphology of burned skin manifested as texture patterns in the ultrasound images.  ...  We propose a deep learning model for the objective evaluation of burn depth using ultrasound imaging modality.  ... 
doi:10.1016/j.jmbbm.2021.104930 pmid:34781225 fatcat:gebmbi6uyfcilpohyq5wurrlvy
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