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\chapter{Introduction}

Diderot is a domain-specific language for programming image analysis algorithms on
parallel hardware.
It supports a high-level programming model based on the mathematics of continuous
tensor fields that are reconstructed from discrete image-data sets (\eg{}, MRI data).
Diderot is also designed to be implemented on parallel hardware.

\section{Basic concepts}
The design of Diderot is based on three core concepts: image data, the continuous fields
that are reconstructed from them, and the actors that represent the computations over
the fields.
We give a high-level overview of these in this section.

\subsection{Images}

\subsection{Fields}

\subsection{Actors}


\section{Diderot by example}
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