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Recent Trends in Artificial Intelligence-Assisted Coronary Atherosclerotic Plaque Characterization

Anjan Gudigar, Sneha Nayak, Jyothi Samanth, U Raghavendra, Ashwal A J, Prabal Datta Barua, Md Nazmul Hasan, Edward J. Ciaccio, Ru-San Tan, U. Rajendra Acharya
2021 International Journal of Environmental Research and Public Health  
Intravascular ultrasound (IVUS) and intravascular optical coherence tomography (IVOCT) performed during invasive coronary angiography are reference standards for characterizing the atherosclerotic plaque  ...  computer aided diagnosis (CAD) to detect and classify atherosclerotic plaques, including their composition and the presence of high-risk features denoting vulnerable plaques.  ...  AND plaque detection', 'machine learning AND plaque detection', 'computer aided diagnostic tools', 'coronary plaque segmentation', 'computed tomography angiography', 'coronary plaque detection', 'intravascular  ... 
doi:10.3390/ijerph181910003 pmid:34639303 fatcat:eo6xdqukbfhwzkhydkfrmxohkq

Cardiac Computed Tomography Radiomics

Márton Kolossváry, Miklós Kellermayer, Béla Merkely, Pál Maurovich-Horvat
2018 Journal of thoracic imaging  
Radiomics is a complex subject that involves the interaction of different disciplines; our objective is to explain commonly used radiomic techniques and review current applications in cardiac computed  ...  tomography imaging.  ...  in computed tomography (CT).  ... 
doi:10.1097/rti.0000000000000268 pmid:28346329 fatcat:lxzbiz7ptngypjmpx7lgzd63g4

Front Matter: Volume 8670

2013 Medical Imaging 2013: Computer-Aided Diagnosis  
School of Medicine (Japan) 8670 1S Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform [8670-63] J. Chakraborty, S.  ...  (United States) 8670 16 Computerized detection of non-calcified plaques in coronary CT angiography: topological soft-gradient detection method for plaque prescreening [8670-41] J. Wei, C. Zhou, H.-P.  ...  Conference Committee Gastrointestinal and Liver CAD  ... 
doi:10.1117/12.2026548 dblp:conf/micad/X13 fatcat:7o23f6qeaneyzbfl26jy24afsy

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

Adrien Depeursinge, Antonio Foncubierta-Rodriguez, Dimitri Van De Ville, Henning Müller
2014 Medical Image Analysis  
Using texture synthesis, this provides the exciting opportunity to simulate and visualize texture atlases of normal ageing process and disease progression for enhanced treatment planning and clinical care  ...  Future research directions and opportunities are proposed to efficiently model personalized image-based phenotypes of normal biomedical tissue and its alterations.  ...  Acknowledgments This work was supported by the Swiss National Science Foundation (under Grants 205320-141300/1, PBGEP2_142283 and PP00P2-146318), the CIBM, and the EU 7th Framework Program in the context  ... 
doi:10.1016/j.media.2013.10.005 pmid:24231667 fatcat:6luivlhrtrdv5dlbh626ohkps4

CAD Applications and Emerging Research Potential in Medical Imaging [article]

Roshan P. Mathews, Greeta Mathews
2020 arXiv   pre-print
The engineering aspects of the above four stages in four imaging modalities viz. computed tomography, magnetic resonance imaging, mammography and bone scintigraphy used in the diagnosis of five critical  ...  Another recent advancement is using artificial intelligence and machine learning techniques.  ...  Another model developed by Ignatious and Joseph [46] used Gabor filter in preprocessing and watershed segmentation.  ... 
arXiv:2009.14657v1 fatcat:cg4kcdzbxbcg5l3akbvuh4wela

Image processing and machine learning for fully automated probabilistic evaluation of medical images

Luka Šajn, Matjaž Kukar
2011 Computer Methods and Programs in Biomedicine  
The paper presents results of our long-term study on using image processing and data mining methods in a medical imaging.  ...  construction and data mining algorithms that significantly outperform medical practice.  ...  Acknowledgements This work was supported by the Slovenian Ministry of Higher Education, Science, and Technology.  ... 
doi:10.1016/j.cmpb.2010.06.021 pmid:20846741 fatcat:hdixfthh75cb3p7kd6bg4eq6ou

Image-Based Cardiac Diagnosis With Machine Learning: A Review

Carlos Martin-Isla, Victor M. Campello, Cristian Izquierdo, Zahra Raisi-Estabragh, Bettina Baeßler, Steffen E. Petersen, Karim Lekadir
2020 Frontiers in Cardiovascular Medicine  
This paper presents a thorough review of recent works in this field and provide the reader with a detailed presentation of the machine learning methods that can be further exploited to enable more automated  ...  Until now, its role has been limited to visual and quantitative assessment of cardiac structure and function.  ...  Wolterink et al. (17) presented a framework where two cascading CNNs were able to detect CAC using cardiac computed tomography angiography (CTA) images.  ... 
doi:10.3389/fcvm.2020.00001 pmid:32039241 pmcid:PMC6992607 fatcat:xvxaw3t4offindqef2xafx6kmm

Deep Learning in Cardiology

Paschalis Bizopoulos, Dimitrios Koutsouris
2019 IEEE Reviews in Biomedical Engineering  
Deep learning is a representation learning method that consists of layers that transform the data non-linearly, thus, revealing hierarchical relationships and structures.  ...  The medical field is creating large amount of data that physicians are unable to decipher and use efficiently.  ...  and plaque formation [236] .  ... 
doi:10.1109/rbme.2018.2885714 fatcat:pa47trmskvflvig5cotth265q4

An Extra Set of Intelligent Eyes: Application of Artificial Intelligence in Imaging of Abdominopelvic Pathologies in Emergency Radiology

Jeffrey Liu, Bino Varghese, Farzaneh Taravat, Liesl S. Eibschutz, Ali Gholamrezanezhad
2022 Diagnostics  
use in the emergency setting.  ...  This article aims to establish a general understanding of the AI algorithms used in emergent image-based tasks and to discuss the challenges associated with the implementation of AI into the clinical workflow  ...  under the ROC curve (AUC) were 0.978 ± 0.009 and 0.984 ± 0.008 diagnosis of colitis on computed tomography using deep convolutional neural networks.  ... 
doi:10.3390/diagnostics12061351 pmid:35741161 pmcid:PMC9221728 fatcat:chuolsu2ufbfpnswaxca3mjonm

Ultrasound image segmentation: a survey

J.A. Noble, D. Boukerroui
2006 IEEE Transactions on Medical Imaging  
Then, we present a classification of methodology in terms of use of prior information.  ...  First, we present a review of articles by clinical application to highlight the approaches that have been investigated and degree of validation that has been done in different clinical domains.  ...  copies of their papers which are discussed in the review or permission to use figures from their papers.  ... 
doi:10.1109/tmi.2006.877092 pmid:16894993 fatcat:wtt6igy2ozhjtbnsizi6qtosn4

QUANTUM HOLOGRAPHY AND MAGNETIC RESONANCE TOMOGRAPHY: AN ENSEMBLE QUANTUM COMPUTING APPROACH

Walter Schempp
1998 Taiwanese journal of mathematics  
topic of ensemble quantum computing.  ...  It determines the distributional reproducing kernel of the tracial read-out process of quantum holograms excited and coexisting in the MRI scanner system.  ...  Peter Marcer and Brian Oakley (British Computer Society, London) for valuable discussions on the emerging field of quantumography.  ... 
doi:10.11650/twjm/1500406964 fatcat:fhkps2gnwzalrbalqnbfofjhua

Design and Analysis of Johnson Counter Using Finfet Technology

Myneni Jahnavi Myneni Jahnavi
2013 IOSR Journal of VLSI and Signal processing  
The main drawback of using CMOS transistors are high power consumption and high leakage current.  ...  Usually, the second gate of FinFET transistors is used to dynamically control the threshold voltage of the first gate in order to improve the performance and reduce leakage power.  ...  and support.  ... 
doi:10.9790/4200-0160106 fatcat:hdbvjkcldbhutardkebeuqei5y

Active Contours Guided by Echogenicity and Texture for Delineation of Thyroid Nodules in Ultrasound Images

M.A. Savelonas, D.K. Iakovidis, I. Legakis, D. Maroulis
2009 IEEE Transactions on Information Technology in Biomedicine  
The performance of the JET model was validated on a range of US images displaying hypoechoic and isoechoic nodules of various shapes.  ...  This paper presents a novel active contour model for precise delineation of thyroid nodules of various shapes according to their echogenicity and texture, as displayed in ultrasound (US) images.  ...  ., radiologist, for his kind and invaluable cooperation in this work.  ... 
doi:10.1109/titb.2008.2007192 pmid:19193513 fatcat:4wrm7lmhu5cjlnecp7jr2xug6a

A combined local and global motion estimation and compensation method for cardiac CT

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
2014 Medical Imaging 2014: Physics of Medical Imaging  
To validate this method in vivo, we compared results to intravascular ultrasound (IVUS) and coronary computed tomography angiography (CCTA) in a healthy porcine model.  ...  computed tomography x-ray imaging.  ...  This is a manual process and can be time consuming in cases where several sections using different stains are required.  ... 
doi:10.1117/12.2043492 fatcat:fyzpc5m6jbh7fjohqpdmtzkhte

Clinical translation of handheld optical coherence tomography: practical considerations and recent advancements

Guillermo L. Monroy, Jungeun Won
2017 Journal of Biomedical Optics  
research use.  ...  Since the inception of optical coherence tomography (OCT), advancements in imaging system design and handheld probes have allowed for numerous advancements in disease diagnostics and characterization of  ...  probes and the clinical imaging suite at the Beckman Institute for Advanced Science and Technology.  ... 
doi:10.1117/1.jbo.22.12.121715 pmid:29260539 pmcid:PMC5735247 fatcat:va26n3ck5zc4bd2cww4j6ffv7a
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