Autograd Image Registration Laboratory

AirLab is an open laboratory for medical image registration. It provides an environment for rapid prototyping and reproduction of registration algorithms. The unique feature of AirLab is, that the analytic gradients of the objective function are computed automatically with fosters rapid prototyping. In addition, the device on which the computations are performed, on a CPU or a GPU, is transparent. AirLab is implemented in Python using PyTorch as tensor and optimization library and SimpleITK for basic image IO. It profits therefore from recent advances made by the machine learning community.

Authors: Robin Sandkuehler and Christoph Jud

Building Blocks:

• registration
• transformation
• loss
• regulariser
• utils

Indices and tables

• Index
• Module Index