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Advances in 3D fusion of multimodal medical images: 3D reconstruction of bone, muscle, and ligament structures under load from radiographs and magnetic resonance imaging

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Research on Biomedical engineering 2025年第1期41卷 1-35页

作者： da Silva, Daniel S. Astolfi, Rodrigo S. Jagatheesaperumal, Senthil K. Selvaraj, Priyadharsini Russel, Newlin Shebiah de Albuquerque, Victor Hugo C. Post-Graduation Program of Medical Surgical Sciences Federal University of Ceara CE Fortaleza60455-970 Brazil Department of Teleinformatics Engineering Federal University of Ceara CE Fortaleza60455-970 Brazil Department of Electronics and Communication Engineering Mepco Schlenk Engineering College TN Sivakasi626005 India Department of Computer Science and Engineering Mepco Schlenk Engineering College TN Sivakasi626005 India

Purpose: Foot and ankle pathologies are among the most prevalent conditions within the human locomotor system. Imaging examinations are crucial for diagnosing, treating, and achieving satisfactory functional outcomes for these conditions. However, conventional imaging exams often fail to capture all the necessary details for precise analysis, necessitating the use of multiple imaging modalities to evaluate bones, ligaments, cartilage, and other structures. Objective: This research aims to explore computational technologies and algorithms for 3D reconstruction and fusion of foot and ankle images, alongside the analysis, segmentation, classification, and evaluation techniques applied to these images. Methods: The study investigates different computational approaches for 3D reconstruction and multimodal image fusion, integrating X-ray and MRI data. Advanced segmentation and classification techniques are applied to enhance the precision of structural assessment. Additionally, we assess the availability and quality of databases for training and validating these models. Results: Our findings highlight a significant gap in research concerning these specific applications, as well as a shortage of suitable databases for 3D reconstruction and fusion of images from X-rays and MRI. Conclusion: The study emphasizes the need for dedicated datasets and further research to develop effective computational solutions for multimodal foot and ankle imaging. © The Author(s), under exclusive licence to The Brazilian Society of Biomedical engineering 2025.

关键词： Magnetic resonance imaging

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Anomaly detection in the registry of the secondary energy distribution network 31

Anomaly detection in the registry of the secondary energy di...

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31st International Conference on Software engineering and Knowledge engineering, SEKE 2019

作者： Fonsêca, Carlos Maciel, Alexandre Post-Graduation Program in Computer Engineering University of Pernambuco Recife Brazil

ISBN: (纸本)1891706489

The paper aims to create an intelligent model of data analysis in the registry of the secondary energy distribution network. With emphasis on the search for possible inconsistencies that can be only cadastral or really physical. For this, it uses some techniques of data mining giving focus for the detection of anomalies. This study used a private database containing information about the assets that make up the secondary energy distribution network, such as: poles, transformers, disconnectors, among others. The research was developed following all steps presented in the CRISP-DM methodology. To detect the anomalies, it was used algorithms Isolation Forest, DBSCAN and BIRCH. As a result, the three algorithms pointed to a set of specialty anomalies, validated by a specialist, however, Isolation forest was more accurate in the inference of the anomalies. From this study, distribution companies will be able to identify risky or financially problematic situations in advance. © 2019 Knowledge systems Institute Graduate School. All rights reserved.

关键词： Data mining

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Aperture-Coupled Koch Fractal on-Chip Antennas for 60 GHz ISM Band 2

Aperture-Coupled Koch Fractal on-Chip Antennas for 60 GHz IS...

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2nd IEEE MTT-S Latin America Microwave Conference, LAMC 2018

作者： Morais, Samuel Medeiros Araújo Serres, Alexandre Jean Rene Guarany, Ivana Soares Da Silverio Freire, Raimundo Carlos Da Silva, Paulo Fernandes Santana, Ewaldo Elder Carvalho Da Fonseca Silva, Paulo Henrique Post-Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Post-Graduation Program in Computer Engineering and Systems State University of Maranhão São Luis Brazil Post-Graduation Program in Electrical Engineering Federal Institute of Education Science and Technology of Paraíba João Pessoa Brazil

ISBN: (纸本)9781538673331

This paper presents Koch fractal aperture-coupled patch antennas operating in industrial scientific and medical band at 60 GHz (57 GHz to 64 GHz), for on-chip application. This work is the continuation of the development of aperture-coupled antennas with aperture and patch element built in 2 μm-thick aluminum lying on two layers of silicon with a height of 200 μm. The use of Koch fractal allowed the development of aperture-coupled antennas of greater perimeter with more metal in the patch elements, which promoted an increase in the gain. The observed gain for Koch fractal level 2 was of 10.55 dBi, with a bandwidth of 7.23 GHz, covering the ISM 60 GHz Band, and an increase of less than 10% in total patch dimension. For Koch fractal levels 0 (square), a polarization close to circular was achieved, with an axial ratio less than 6 at resonant frequencies. © 2018 IEEE.

关键词： Natural frequencies

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RJSSim: A reconfigurable job scheduling simulator for parallel processing learning 33

RJSSim: A reconfigurable job scheduling simulator for parall...

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33rd Annual Frontiers in Education, FIE 2003

作者： Góes, Luís F.W. Martins, Carlos A.P.S. Pontifical Catholic University of Minas Gerais Post-Graduation Program in Electrical Engineering Computational and Digital Systems Laboratory Belo HorizonteMG Brazil Pontifical Catholic University of Minas Gerais Computer Science Department Post-Graduation Program in Electrical Engineering Computational and Digital Systems Laboratory Belo HorizonteMG Brazil

ISBN: (纸本)0780379616

In this work, we present and analyze the use of a reconfigurable job scheduling simulator called RJSSim as an aid tool for parallel processing learning. This software is a functional and performance Java-based simulator of job scheduling policies. Our objectives are: to present RJSSim;to show the use of RJSSim and reconfigurability concepts for parallel processing learning. First, we present a prototype of RJSSim and the reconfigurability concept. Then we describe two case studies remarking the main parallel processing concepts and skills students can learn. In the first case study, we analyze two parallel algorithm models. In the second, we do some performance tests among parallel (reconfigurable) scheduling policies and architectures. Then, we analyze the performance through some metrics like response time, idle time etc. Finally we discuss and analyze the use of RJSSim for parallel processing learning. Our main contribution is: an implementation of RJSSim for parallel processing learning. © 2003 IEEE.

关键词： Parallel algorithms

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Machine learning applied to forecasting the manufacturing time of new products prototypes and ETO products: An exploratory study

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International Journal of Production Economics 2025年 287卷

作者： Roberto Canedo Rosa Marcelo Carneiro Gonçalves Sanderson César Macêdo Barbalho Federal Institute of Amazonas Campus Manaus Centro Manaus AM CEP: 69025-010 Brazil University of Brasilia Technology College. Department of Industrial Engineering Post-graduation Program of Mechatronic Systems Campus Darcy Ribeiro Brasilia DF CEP 70910-900 Brazil

Industry 4.0 is a transformative initiative that integrates various technologies and reshapes industrial processes, production methods, and business models. However, forecasting future events within this paradigm shift presents significant challenges. Predicting the cycle time for new product development (NPD) in a dynamic and competitive environment, especially in a highly globalized market driven by innovation, is crucial. Previous research has shown that prototype manufacturing lead times are key parameters for predicting NPD times-to-market. This study investigates the predictive capabilities of artificial intelligence algorithms in estimating manufacturing lead times under varying part geometries and materials at an aerospace and medical equipment company. By leveraging predictive analysis and machine learning techniques, specifically Artificial Neural Networks (ANN), Support Vector Machine (SVM), and Random Forest (RF) algorithms, the proposed methodology demonstrates its efficacy and variations. The results show that top-performing models achieve an accuracy rate exceeding 87 % and an average absolute error of less than one day, which have significant practical benefits for project production planners. They can utilize the most popular AI frameworks on easier-to-use programming platforms to estimate the time required to manufacture their prototypes, predict their new product development (NPD) cycle times, and negotiate lead times for in-house and third-party manufacturing more effectively, thereby improving project planning and delivery.

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Porantim-opt: Optimizing the combined selection of model-based testing techniques

Porantim-opt: Optimizing the combined selection of model-bas...

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Workshop on Requirements and Validation, Verification, and Testing

作者： Neto, Arilo Claudio Dias De Freitas Rodrigues, Rosiane Travassos, Guilherme Horta Post-graduation Program In Informatics Computer Science Department Federal University of Amazonas Manaus AM Brazil Systems Engineering and Computer Science Program COPPE Federal University of Rio De Janeiro Rio De Janeiro RJ Brazil

ISBN: (纸本)9780769543451

The combination of testing techniques is considered an effective strategy to evaluate a software product. However, the selection of which techniques to combine in a software project has been an interesting challenge in the Software engineering field. This paper presents a proposal extending an approach developed to support the combined selection of model-based testing (MBT) techniques, named Porantim, applying Multiobjective Combinatorial Optimization strategy by determining the smallest dominating set in a bipartite and weighted graph. Thus, a local search strategy algorithm is proposed generating solutions aiming at maximizing the coverage of software project characteristics and skills required by the testing team to use the techniques and minimizing the eventual effort to construct models used for test cases generation. A preliminary evaluation analyzes this new approach when compared to the Porantim's original version, and the results indicate improvements in the MBT techniques selection. © 2011 IEEE.

关键词： Software testing

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Global product development: The experience in a Brazilian manufacturing and assembler automotive subsidiary

Global product development: The experience in a Brazilian ma...

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2012 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2012

作者： Segismundo, A. Miguel, P. A. Cauchick Post-graduation Program in Production Engineering University of São Paulo Sao Paulo Brazil Department of Production and Systems Engineering Federal University of Santa Catarina Florianopolis Brazil

ISBN: (纸本)9781467329453

The literature identifies a trend of new vehicles development at global level resulting in a global product development (GPD). In this context, this paper aims at analyzing the decentralization of GPD in an assembler of commercial vehicles. Factors that contribute to the decentralization of GPD are considered in this investigation as well as their causes. Case-based research is adopted as the research methodological approach, conducted in a Brazilian assembler and its headquarters in Germany. The results indicate that the organization reacts similarly to other economics industrial sectors (e.g. telecommunications) when facing the decision of decentralizing GPD. Unlike other studies, it was also found that modular design has influence on the GPD decentralization process. The interest of the local market and historical aspects of the evolution of the subsidiary were found to be relevant. From these results a proposed structure for GPD and adoption of modular design is suggested. © 2012 IEEE.

关键词： Commercial vehicles

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Simulation and control of maritime area through multi-agent systems and geographical information systems

Simulation and control of maritime area through multi-agent ...

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International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005

作者： De Farias, Oscar Luiz Monteiro Leite, Luciano Teixeira Rio de Janeiro State University Post-Graduation Program in Computer Engineering Rua Sao Francisco Xavier 524 Maracana Rio de Janeiro RJ Brazil

ISBN: (纸本)0769525040

A generic simulation tool aimed to explore the dynamics of spatio-temporal systems doesn't exists yet. First steps in the direction of generic agent-based simulation tools were given with the Swarm project [1],[2] and Starlogo Software [3], [4]. However these tools don't provide an apropriate representation for space. Here, we argue for the need of integration among Geographical Information systems and Agent Based System (ABS) as a good metaphor for our spatio-temporal world and give an example, among inumerous, that could benefit from this: web-based warfare games. Our example comprises a web agent-based system that operates on data provided by Geographical Information systems [5], [6] and aims to simulate naval operations known as Control of Maritime Area [7]. © 2005 IEEE.

关键词： Naval warfare

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Agent-based geographical information system

Agent-based geographical information system

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作者： De Farias, Oscar Luiz Monteiro Santos, Neide Dos Rio de Janeiro State University Post-Graduation Program in Computer Engineering Rua Sao Francisco Xavier 524 Maracana Rio de Janeiro RJ Brazil

ISBN: (纸本)0769525040

Agent-Based Geographical Information System (ABGIS) could be characterized as a kind of system integrating features commonly found in Geographical Information System and in Agent-Based Simulation Tools. ABGIS provides a powerful simulation tool and an envyronment that is an excelent metaphor to represent our spatio-temporal world. With ABGIS we could explore the dynamics of spatio-temporal systems, particularly, but not exclusively, complex systems. It is possible to simulate complex systems having as a starting point only simple elements (agents), embedded in some type of environment. These agents can inter-act which each other in only specific and very simple ways. As the result of the interaction among the agents and the environment, the behavior of the complex system at macrocosmic level then emerges. According this line of thinking, there are a lot of social, biological, and ecological processes that can be simulated by agent-based models [1],[2], In this article we give a general description of the desirable capabilities of ABSGIS, describing some features it should incorporate, and presenting some examples that could explore this kind of tool. © 2005 IEEE.

关键词： Geographic information systems

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Artificial intelligence and knowledge management

Artificial intelligence and knowledge management

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Conference on Artificial Intelligence in Theory and Practice held at the 19th World computer Congress

作者： Hoeschl, Hugo Cesar Barcellos, Vania WBSA Intelligent Systems S.A Brazil Research Institute on e-Gov Juridical Intelligence and Systems - IJURIS Brazil Program of Post-Graduation in Engineering and Knowledge Management Federal University of Santa Catarina Brazil

ISBN: (纸本)0387346546

This article intends to make an analysis about the Artificial Intelligence (AI) and the Knowledge Management (KM). Faced with the dualism mind and body how we be able to see it AI? It doesn't intent to create identical copy of human being, but try to find the better form to represent all the knowledge contained in our minds. The society of the information lives a great paradox, at the same time that we have access to an innumerable amount of information, the capacity and the forms of its processing are very limited. In this context, institutions and centers of research devote themselves to the finding of ways to use to advantage the available data consistently. The interaction of the Knowledge Management with Artificial Intelligence makes possible the development of filtering tools and pre-analysis of the information that appear as a reply to the expectations to extract resulted optimized of databases and open and not-structuralized source, as the Internet.

关键词： Knowledge management

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