iRegNet: Non-Rigid Registration of MRI to Interventional US for Brain-Shift Compensation Using Convolutional Neural Networks.
Ramy A. ZeineldinMohamed E. KararZiad ElshaerMarkus SchmidhammerJan CoburgerChristian Rainer WirtzOliver BurgertFranziska Mathis-UllrichPublished in: IEEE Access (2021)
Keyphrases
- biomechanical model
- convolutional neural networks
- brain shift
- patient specific
- mr images
- intraoperative
- magnetic resonance imaging
- beating heart
- magnetic resonance images
- medical images
- medical imaging
- convolutional network
- cardiac motion
- image guided
- ct data
- soft tissue
- mri data
- minimally invasive
- x ray
- magnetic resonance
- finite element
- brain surface
- anatomical structures
- mri images
- manual segmentation
- computer assisted
- finite element model
- high resolution
- multiresolution
- clinical applications
- brain tumors
- white matter