Brain micro-vasculature imaging: An unsupervised deep learning algorithm for segmenting mouse brain volume probed by high-resolution phase-contrast X-ray tomography.
Alessandra PateraAntonio G. ZippoAnne BonninMarco StampanoniGabriele E. M. BiellaPublished in: Int. J. Imaging Syst. Technol. (2021)
Keyphrases
- x ray
- phase contrast
- mouse brain
- magnetic resonance images
- medical imaging
- high resolution
- brain atlas
- magnetic resonance
- medical image analysis
- filtered back projection
- brain tissue
- multislice
- low contrast
- contrast enhanced
- medical images
- mr images
- brain structures
- positron emission tomography
- clinical applications
- x ray images
- intraoperative
- super resolution
- magnetic resonance angiography
- brain images
- image reconstruction
- anatomical structures
- magnetic resonance imaging
- ct images
- three dimensional
- white matter
- ct scans
- microscopy images
- image processing
- image data
- cone beam
- electron microscopy
- blood flow
- blood vessels
- image registration
- mri data
- computed tomography
- remote sensing
- shape analysis
- brain tumors
- imaging modalities
- high quality
- image guided
- contrast agent
- computer vision
- image analysis