Dr Jakob Roth | Novel Imaging Algorithms for k-Space Data

Astronomical and medical imaging may appear to be vastly different

disciplines, yet they share a number of similarities. In particular,

radio interferometry and magnetic resonance imaging (MRI) are governed

by the same underlying mathematical framework: both techniques perform

measurements in the so-called k-space. In both cases the underlying

image needs to be recovered from the raw k-space data, and some

algorithms for doing so might be transferable between the fields.

In this talk, I introduce the principles of radio interferometry and

present algorithms I developed for reconstructing sky images from the

raw data.

The algorithms are designed to deliver high-quality images while

remaining computationally efficient, enabling their application to the

large datasets of modern radio telescope arrays. Beyond reconstruction

fidelity, the methods incorporate principled uncertainty quantification,

providing not only images but also statistically meaningful estimates of

their reliability.