Technical Note: PYRO-NN: Python reconstruction operators in neural networks.

ABSTRACT:

Purpose

Recently, several attempts were conducted to transfer deep learning to medical image reconstruction. An increasingly number of publications follow the concept of embedding the computed tomography (CT) reconstruction as a known operator into a neural network. However, most of the approaches presented lack an efficient CT reconstruction framework fully integrated into deep learning environments. As a result, many approaches use workarounds for mathematically unambiguously solvable problems.

Methods

PYRO-NN is a generalized framework to embed known operators into the prevalent deep learning framework Tensorflow. The current status includes state-of-the-art parallel-, fan-, and cone-beam projectors, and back-projectors accelerated with CUDA provided as Tensorflow layers.

SUBMITTER: Syben C 

PROVIDER: S-EPMC6899669 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature