Felix Lucka

welcome to my academic web site

X-ray Data Collection for Machine Learning

Together with my colleagues at CWI, we just released a large collection of tomography scans designed for developing machine learning approaches to tomographic image reconstruction. All details can be found in the accompanying paper on arXiv. We also prepared a collection of Python and MATLAB scripts for loading, pre-processing and reconstructing the data on on github. The complete data set is on zenodo and can be found via the following links: 1-8, 9-16, 17-24, 25-32, 33-37, 38-42. A big thanks to all my colleagues, in particular to Henri der Sarkissian!

Collection of MATLAB functions published

Over the years, I wrote a large number of all kinds of auxiliary MATLAB functions for my various projects in mathematical imaging. I recently decided to share them on GitHub as a toolbox and put some effort into commenting and standardizing them. Hope someone finds them useful, I will do the same with my collection of numerical optimization algorithms.

Deep Learning for cardiac MRI

Together with a team of researchers and clinicians from the Centre for Translational Cardiovascular Imaging, Great Ormond Street Hospital for Children we started an exciting project on using deep learning to improve cardiac imaging for children with congenital heart diseases. A first proof-of-concept study on using a U-Net-type CNN for real‐time reconstruction of dynamic, under-sampled cardiovascular MR just got published in Magnetic Resonance in Medicine. Big thanks to the team!

Numerical methods for acoustic holography

My colleague Brad Treeby from the Biomedical Ultrasound Group (BUG) at UCL got me involved in an interesting project that tries to find ways to numerically simulate the acoustic fields that ultrasound transducers generate in complex media. The idea is to find an equivalent interior source term that would reproduce field measurements taken in a homogeneous medium. The work let to a paper titled “Equivalent-Source Acoustic Holography for Projecting Measured Ultrasound Fields through Complex Media” which just got accepted for publication in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. Big thanks to Brad and the other co-authors!