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Related Concept Videos

Brain Imaging01:14

Brain Imaging

211
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
211

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Multimodal Neuroimaging Computing: Basics and Applications in Neurosurgery.

Shun Yao1, Xuan Zheng2, Guoqiang Xie3

  • 1Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Advances in Experimental Medicine and Biology
|November 10, 2024
PubMed
Summary

Multimodal neuroimaging computing offers detailed brain insights for complex diseases and image-guided neurosurgery. This chapter reviews updated techniques, applications, data challenges, and future directions in neurosurgery.

Keywords:
Multimodal neuroimaging computingPrecision neuro-oncologyRadiomics and radiogenomicsSurgical planning

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Computational Neuroscience

Background:

  • Multimodal neuroimaging computing is essential for understanding brain function and neurological diseases.
  • It provides a comprehensive view for image-guided neurosurgery and precision medicine.

Purpose of the Study:

  • To review recent advancements in neuroimaging techniques.
  • To discuss their applications in neurosurgery.
  • To explore data processing challenges and future perspectives.

Main Methods:

  • Literature review of current neuroimaging techniques.
  • Analysis of neuroimaging applications in neurosurgery.
  • Discussion of computational and data processing challenges.

Main Results:

  • Updated neuroimaging techniques offer enhanced brain visualization and analysis.
  • These techniques are crucial for improving surgical precision and understanding neurological disorders.
  • Data processing and computing present significant challenges.

Conclusions:

  • Multimodal neuroimaging computing is vital for advancing neurosurgery and precision medicine.
  • Continued development in techniques and data processing is necessary.
  • Future research should focus on overcoming computational hurdles for broader clinical adoption.