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Healthcare
Special Issues
Infrared Technological Innovations and Applications
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Infrared Technological Innovations and Applications

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Medicine".

Deadline for manuscript submissions: closed (1 February 2023) | Viewed by 1675

Special Issue Editor

Prof. Dr. Reza Saatchi

E-Mail Website
Guest Editor
Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield S1 1WB, UK
Interests: medical engineering; electronic design aspects; medical engineering; medical devices; signal and image processing; artificial intelligence; machine learning; big data analysis; data mining; wireless communication; quality of service
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent developments in infrared detectors, combined with advances in microprocessors and image and signal processing have resulted in powerful tools for diagnosis and monitoring in a broad range of scientific, engineering, and medical fields. As the cost of infrared detectors has become lower, their effectiveness and popularity have increased, facilitating dynamic and static temperature analyses with a very high level of accuracy.  

The submission of articles concerning the integration of infrared detectors with microprocessors and software to produce effective diagnostic and monitoring tools, approaches that utilise infrared detectors to improve operations and processes, techniques to improve the quality of infrared signals and images, data fusion and registration, the integration of infrared sensors into the Internet of Things and cloud computing, remote sensing, and security issues (e.g., facial recognition) are most welcome.    

We cordially invite you to submit your paper to this Special Issue of the Healthcare journal, which aims to bring together the latest technological developments and applications in infrared sensing, with a particular focus on the medical field.

Prof. Dr. Reza Saatchi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • innovations in infrared sensors and detectors
  • infrared tools for diagnosis and monitoring, specifically for medical applications
  • infrared image and signal processing
  • object tracking in infrared videos
  • infrared development for security applications—e.g., facial recognition
  • data fusion (infrared and visual imaging)
  • filtering, noise removal, enhancement of infrared images
  • feature extraction techniques for infrared images
  • infrared image registration
  • infrared developments for detecting COVID-19
  • innovations in infrared sensors and detectors
  • reviews in infrared developments and applications

Published Papers (1 paper)

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Research

13 pages, 3577 KiB  
Article
Patient-Specific 3D-Print Extracranial Vascular Simulators and Infrared Imaging Platform for Diagnostic Cerebral Angiography Training
by Te-Chang Wu, Jui-Yu Weng, Chien-Jen Lin, Yu-Kun Tsui, Jinn-Rung Kuo, Pei-Jarn Chen and Jhi-Joung Wang
Healthcare 2022, 10(11), 2277; https://doi.org/10.3390/healthcare10112277 - 14 Nov 2022
Cited by 1 | Viewed by 1404
Abstract
Tortuous aortic arch is always challenging for beginner neuro-interventionalists. Herein, we share our experience of using 3D-printed extracranial vascular simulators (VSs) and the infrared imaging platform (IRIP) in two training courses for diagnostic cerebral angiography in the past 4 years. A total of [...] Read more.
Tortuous aortic arch is always challenging for beginner neuro-interventionalists. Herein, we share our experience of using 3D-printed extracranial vascular simulators (VSs) and the infrared imaging platform (IRIP) in two training courses for diagnostic cerebral angiography in the past 4 years. A total of four full-scale patient-specific carotid-aortic-iliac models were fabricated, including one type I arch, one bovine variant, and two type III arches. With an angiography machine (AM) as the imaging platform for the practice and final test, the first course was held in March 2018 had 10 participants, including three first-year residents (R1), three second-year residents (R2), and four third-year residents (R3). With introduction of the IRIP as the imaging platform for practice, the second course in March 2022 had nine participants, including 3 R1s, 3 R2s, and 3 R3s. The total manipulation time (TMT) to complete type III aortic arch navigation was recorded. In the first course, the average TMT of the first trial was 13.1 min. Among 3 R1s and 3 R2s attending the second trial, the average TMT of the second trial was 3.4 min less than that of the first trial. In the second course using IRIP, the average TMT of the first and second trials was 6.7 min and 4.8 min, respectively. The TMT of the second trial (range 2.2~14.4 min; median 5.9 min) was significantly shorter than that of the first trial (range 3.6~18 min; median 8.7 min), regardless of whether AM or IRIP was used (p = 0.001). Compared with first trial, the TMT of the second trial was reduced by an average of 3.7 min for 6 R1s, which was significantly greater than the 1.7 min of R2 and R3 (p = 0.049). Patient-specific VSs with radiation-free IRIP could be a useful training platform for junior residents with little experience in neuroangiography. Full article
(This article belongs to the Special Issue Infrared Technological Innovations and Applications)
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