Amira Neuro Option
This option offers specialized modules to analyze images obtained from CT or MR imaging. Diffusion weighted MR imaging (DWI) is used to image the rate of water diffusion in tissues like brain or muscle. This option allows the user to compute the apparent diffusion coefficient (ADC), fractional anisotropy (FA), and directionally encoded color (DEC) maps. Diffusion tensor imaging (DTI) aims at localizing and visualizing fiber tracts in the human or primate brain and is supported by several modules. Brain perfusion analysis is supported based on tracking a contrast bolus in a time series of MR or CT images.
For time-dependent, contrast-enhanced, T1-weighted MR and CT images, Amira offers perfusion measurement tools to compute quantitative maps of the mean transit time, cerebral blood flow, and volume as it is done by many clinical tools. Diffusion weighted MR images from different directional gradients can be interpreted to visualize diffusion tensors on user-defined surfaces or fiber tracks in the brain.
- Fiber tracking supporting several stream-line based algorithms
- Fiber separation into fiber bundles based on user-defined source and destination regions
- Computation of tensor fields from an arbitrary number of diffusion weighted MR images
- Generation of test data for tensor field and gradient weighted image stack analysis
- Computation of diffusion weighted maps like ADC, FA, relative anisotropy (RA), and DEC
- Eigenvalue decomposition of tensor fields
- Supports both CT and MR bolus tracked images
- Computes mean transit time (MTT), cerebral blood flow (CBF), and cerebral blood volume (CBV)
- Manual selection and export of arterial/venous functions from perfusion time series
- Tracer delay time corrected
- Computation based on deconvolution