Virtual Objects

Sub-package containing virtual objects generation routines.

DeepMR contains tools to simulate MR experiments for development and testing. These tools include numerical phantoms, B0 and B1+ field generators, random rigid motion generation routines and sampling trajectories (Cartesian and Non-Cartesian).

Phantoms

deepmr.shepp_logan	Initialize numerical phantom for MR simulations.
deepmr.brainweb	Initialize a brain-shaped phantom for MR simulations.
deepmr.custom_phantom	Initialize numerical phantom for MR simulations from user-provided segmentation.

Fields

deepmr.b0field	Simulate inhomogeneous B0 fields.
deepmr.b1field	Simulate inhomogeneous B1+ fields.
deepmr.sensmap	Simulate birdcage coils.

Non-idealities

Miscellaneous non-idealities generation routines (e.g., motion patterns).

deepmr.rigid_motion

Generate rigid motion pattern as a Markov Chain process.

Sampling

deepmr.cartesian2D	Design a 2D (+t) cartesian encoding scheme.
deepmr.cartesian3D	Design a 3D (+t) cartesian encoding scheme.
deepmr.radial	Design a radial trajectory.
deepmr.radial_stack	Design a stack-of-stars trajectory.
deepmr.radial_proj	Design a 3D radial projectiontrajectory.
deepmr.rosette	Design a rosette trajectory.
deepmr.rosette_stack	Design a stack-of-rosettes trajectory.
deepmr.rosette_proj	Design a 3D rosette projection trajectory.
deepmr.spiral	Design a constant- or multi-density spiral.
deepmr.spiral_stack	Design a constant- or multi-density stack of spirals.
deepmr.spiral_proj	Design a constant- or multi-density spiral projection.

Trains

Variable parameters (e.g., flip angle, rf phase, echo time) train generators.

deepmr.piecewise_fa	Design a multi-segment linear flip angle train.
deepmr.sinusoidal_fa	Design a multi-segment sinusoidal flip angle train.
deepmr.phase_cycling	Generate a linear phase cycling scheme.
deepmr.rf_spoiling	Generate a quadratic phase cycling scheme for rf spoiling or partial spoiling.