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Biomedical Engineering and Biotechnology Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors Development".

Deadline for manuscript submissions: closed (15 July 2024) | Viewed by 1012

Special Issue Editors


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Guest Editor
Department of Mechatronics and Robotics, Faculty of Automation, Computers and Electronics, University of Craiova, 107 Decebal Blvd, Craiova, Romania
Interests: robotics; mechatronics; automation; control; medical robotics

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Guest Editor
Faculty of Automation, Computers and Electronics, Department of Automation and Electronics, University of Craiova, Craiova, Romania
Interests: automation; medical statistics; control

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Guest Editor
Faculty of Automation, Computers and Electronics, Department of Mechatronics and Robotics, University of Craiova, Craiova, Romania
Interests: robots for services; smart materials; control

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Guest Editor
Faculty of Automation, Computers and Electronics, Department of Mechatronics and Robotics, University of Craiova, Craiova, Romania
Interests: virtual reality; mechatronics; control

E-Mail Website
Guest Editor
Department of Mechatronics and Robotics, Faculty of Automation, Computers and Electronics, University of Craiova, 107 Decebal Blvd, Craiova, Romania
Interests: smart material; virtual reality; nanotechnology; control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The modern era is a scene of interdisciplinary research where the main actors play a pivotal role in improving health and daily living. Biomedical technology involves the application of engineering and technology principles to living or biological systems, and biotechnological systems provide more personalised medical support through continuous analysis of the human body and the environment in which it lives. Biotechnology, and engineering in general, is a vast and rapidly growing field, and its application in the biomedical field has played a crucial role in medical contexts. It has shown its superiority over traditional treatments. Extrapolating the saying "in new times, new people", we can also say, in the case of biotechnology, "in new times, new systems". This Special Issue plans to overview the most recent advances in biomedical engineering and biotechnology systems in diverse areas. This Special Issue aims to provide selected contributions on advances in the synthesis, characterisation, and biotechnology applications concerning the medical domain.
Potential topics include, but are not limited to the following: robotics and mechatronic systems for medical applications, artificial intelligence and virtual reality in medicine, sensors and bio-sensors, biomaterials, nanotechnology, organs on chips and organoids, bioelectronics, bioimages, bioinformatics, clinical diagnostics and delivery of medicines, and other fields involving engineering principles or tools to solve biomedical problems or needs and beyond. 

Dr. Cristina Pană
Dr. Virginia Rădulescu
Dr. Daniela Pătrașcu-Pană
Dr. Florina Petcu
Prof. Dr. Nicu Bîzdoacă
Guest Editors

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Keywords

  • robotics medicine
  • artificial intelligence
  • virtual reality
  • sensors
  • biomaterial
  • bioimage
  • bioinformatics

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Published Papers (1 paper)

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Research

14 pages, 3409 KiB  
Article
Design of Path-Planning System for Interventional Thermal Ablation of Liver Tumors Based on CT Images
by Ziwei Song, Feifei Ding, Weiwei Wu, Zhuhuang Zhou and Shuicai Wu
Sensors 2024, 24(11), 3537; https://doi.org/10.3390/s24113537 - 30 May 2024
Viewed by 714
Abstract
Objective: Aiming at the shortcomings of artificial surgical path planning for the thermal ablation of liver tumors, such as the time-consuming and labor-consuming process, and relying heavily on doctors’ puncture experience, an automatic path-planning system for thermal ablation of liver tumors based on [...] Read more.
Objective: Aiming at the shortcomings of artificial surgical path planning for the thermal ablation of liver tumors, such as the time-consuming and labor-consuming process, and relying heavily on doctors’ puncture experience, an automatic path-planning system for thermal ablation of liver tumors based on CT images is designed and implemented. Methods: The system mainly includes three modules: image segmentation and three-dimensional reconstruction, automatic surgical path planning, and image information management. Through organ segmentation and three- dimensional reconstruction based on CT images, the personalized abdominal spatial anatomical structure of patients is obtained, which is convenient for surgical path planning. The weighted summation method based on clinical constraints and the concept of Pareto optimality are used to solve the multi-objective optimization problem, screen the optimal needle entry path, and realize the automatic planning of the thermal ablation path. The image information database was established to store the information related to the surgical path. Results: In the discussion with clinicians, more than 78% of the paths generated by the planning system were considered to be effective, and the efficiency of system path planning is higher than doctors’ planning efficiency. Conclusion: After improvement, the system can be used for the planning of the thermal ablation path of a liver tumor and has certain clinical application value. Full article
(This article belongs to the Special Issue Biomedical Engineering and Biotechnology Systems)
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