Advanced Imaging Techniques for Neuroscience
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: closed (31 January 2026) | Viewed by 2036
Editor
Special Issue Information
Dear Colleagues,
Innovative imaging techniques have revolutionized our ability to understand the brain’s fine machinery, map complex behavioral and mental processes, and provide exceptional detail of disease states. As researchers pioneer new modalities and sequences of neuroimaging, clinicians are using next-generation imaging to help tailor therapies for disease. Radiologists play a crucial role in using advanced imaging techniques to better understand disease states and provide thoughtful differential diagnoses. Machine learning has recently entered the arena and is valuable for refining image quality and acquisition as well as large-scale data analysis.
This Special Issue will explore a wide array of advanced neuroimaging techniques and their applications. Topics include, but are not limited to, ultra-high-field MRI (≥7 T), functional MRI (fMRI), connectomics, MR spectroscopy, molecular imaging, perfusion imaging in stroke and brain tumors, PET/MR, vessel wall imaging, and machine learning.
The papers contributed to this Special Issue will provide valuable insights into the application of advanced neuroimaging techniques in a wide variety of pathologies. The audience will walk away with a better diagnostic toolkit for challenging scenarios. Whenever possible, the power of machine learning in image generation, diagnosis, and research will be discussed.
Dr. Dhairya A. Lakhani
Guest Editor
Dr. Justin McCloskey
Guest Editor Assistant
Email: justin.mccloskey@hsc.wvu.edu
Department of Radiology, West Virginia University, Morgantown, WV 26508, USA
Interests: neuroradiology
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Keywords
- machine learning
- functional MRI (fMRI)
- resting-state fMRI
- ultra-high-field MRI
- connectomics
- MR spectroscopy
- molecular imaging
- MR perfusion
- high-grade glioma
- ischemic stroke
- vessel wall imaging
- neurodegenerative disease
- PET/MR
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