Special Issue "Trends and Prospects in Medical Hyperspectral Imagery"
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 7568
Interests: digital electronic design; hyperspectral imaging for health applications; video coding; high-performance heterogeneous computing.
Interests: hyperspectral imaging for health applications; high-performance heterogeneous computing; energy consumption and performance optimization; mixed reality and immersive environments.
Hyperspectral Imaging (HSI) is a technology to identify and estimate the distribution of materials within a captured scene based on the measured surface reflectance at each spectral band. Although initially aimed at remote sensing applications, there is a growing research interest to perform in vivo HSI processing during surgeries to help in discerning between cancerous and healthy tissues and locating tumor margins. Outstanding camera size reduction in recent years has made hyperspectral camera arrays (HCA) a possibility that could bring the advantages of Immersive HSI to hospitals.
The promotion of personalized medicine in healthcare should leverage the availability of appropriate decision support tools based on the integration of available, e.g. ,MRI, IOUS, or emerging diagnostic means, e.g., HSI. Contributions from several fields such as Artificial Intelligence (AI), Neurosurgery, Electronic, and Computer Engineering, Pathology, 3D Graphics, Bio-Optics and Data Science, among others, are required to develop, from a multidisciplinary perspective, easy-to-use solutions which lead to better diagnostic accuracy and increased treatment effectiveness.
The aim of this Special Issue is to introduce to the remote sensing community results and applications of the Hyperspectral Imaging field into medical research. The goal is to provide beyond-state-of-the-art solutions to the challenge of building decision support tools for personalized medicine. Therefore, contributions such as integration of HSI with MRI or IOUS, real-time mapping of brain tumors, intraoperative immersive classification, bio-inspired classification algorithms, in vitro and ex vivo HSI analysis from resected samples or high-performance real-time HSI processing platform implementations, among others, are expected.Dr. César Sanz
Dr. Eduardo Juárez
Dr. Miguel Chavarrías
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. Sensors 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 2400 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.
- Hyperspectral imaging
- Personalized medicine
- Classification algorithms
- Real-time HSI processing
- Immersive HSI
- Digital image processing
- Multimedia signal processing