Advanced Research in Brain Imaging

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 617

Special Issue Editors


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Guest Editor
Labcom I3M, University of Poitiers, 86000 Poitiers, France
Interests: medical imaging; spectral imaging; AI for health data

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Guest Editor
1. Department of Imaging, University Hospital Center of Poitiers, Poitiers, France
2. Labcom I3M, University of Poitiers, 86000 Poitiers, France
Interests: neuroradiology; glioma; brain disease; digital twin for health; AI for diagnosis help

Special Issue Information

Dear Colleagues,

Over the past 40 years, various imaging techniques for observing the human body have been developed. Some of these enable us to precisely and non-invasively observe the brain without opening the skull by resorting to radiation (X-rays, the detection of injected radioactive products, etc.), electrical activity, or, more recently, magnetic fields. At the same time, recent advances in computer science have facilitated a quantum leap in data and image analysis. Brain imaging thus faces several challenges, from visualizing different brain structures to observing their functioning ability and interactions. Today, increasingly advanced acquisition systems are being proposed to gain resolution and functionality, and artificial intelligence technologies are progressively being developed to analyze complex mechanisms.

This Special Issue aims to highlight these advances, which will make it possible to improve the early and precise diagnosis of certain pathologies, better understand their evolution and repercussions on the brain, and better select personalized and participative therapies.

Prof. Dr. Christine Fernandez-Maloigne
Prof. Dr. Rémy Guillevin
Guest Editors

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Keywords

  • brain imaging
  • AI for heath
  • computer vision in healthcare
  • MRI
  • radiography
  • CT
  • PET-scan
  • nuclear medicine
  • ultrasound

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Published Papers (1 paper)

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Research

14 pages, 4955 KiB  
Article
Optical Transmission in Single-Layer Brain Tissues under Different Optical Source Types: Modelling and Simulation
by Xi Yang, Chengpeng Chai, Yun-Hsuan Chen and Mohamad Sawan
Bioengineering 2024, 11(9), 916; https://doi.org/10.3390/bioengineering11090916 - 13 Sep 2024
Viewed by 383
Abstract
The human brain is a complex organ controlling daily activity. Present technique models have mostly focused on multi-layer brain tissues, which lack understanding of the propagation characteristics of various single brain tissues. To better understand the influence of different optical source types on [...] Read more.
The human brain is a complex organ controlling daily activity. Present technique models have mostly focused on multi-layer brain tissues, which lack understanding of the propagation characteristics of various single brain tissues. To better understand the influence of different optical source types on individual brain tissues, we constructed single-layer brain models and simulated optical propagation using the Monte Carlo method. Based on the optical simulation results, sixteen optical source types had different optical energy distributions, and the distribution in cerebrospinal fluid had obvious characteristics. Five brain tissues (scalp, skull, cerebrospinal fluid, gray matter, and blood vessel) had the same set of the first three optical source types with maximum depth, while white matter had a different set of the first three optical source types with maximum depth. Each brain tissue had different optical source types with the maximum and minimum full width at half maximum. The study on single-layer brain tissues under different optical source types lays the foundation for constructing complex brain models with multiple tissue layers. It provides a theoretical reference for optimizing the selection of optical source devices for brain imaging. Full article
(This article belongs to the Special Issue Advanced Research in Brain Imaging)
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