Tag Archives: philips

Team Puzzles

Cancer patient treatment planning has made progress in recent years, and one reason for these advancements has been the increasing adoption of Magnetic Resonance Imaging for radio therapy purposes.

We are working alongside Philips’ MRRT (Magnetic Resonance for Radio Therapy) R&D unit to improve the overall viability of the technology as a legitimate addition to cancer treatment planning and tracking. Our comprehensive approach involves enhancing imaging accuracy and quality by improving (magnetic field amplifying) coil positioning and reducing errors, improving patient and imaging process workflow, and enhancing patient and operator comfort.

Our team consists of seven people, and we are a diverse group operating on two continents with backgrounds ranging from Micro- and Nanotechnology to Occupational Therapy and many others in between.

Red-Headed League


We are the red-headed league and our project is to improve Philips worksite by making the R&D facilities more functional and the showrooms more presentational.

We are a team with a multitude of skills (e.g. 3D modelling, mechanical and chemical engineering, programming, industrial design…) and the vast array of skills might be explained by our motto:

“If we don’t know it, we will learn it”

One talent we share is to find reasons to socialize, so don’t be afraid to come and talk to us!

Ghostbusters (2013-14)

The functionality of MRI, or magnetic resonance imaging, is based on magnetic fields, which aren’t perfectly accurate. This results in a need to make corrections to the images.

MRI devices are calibrated by detecting distortions with physical objects called ‘phantoms’. To detect distortions the measurement data are compared against the known dimensions of the phantom. The image can then be corrected by running a computer algorithm.

Our phantom is a 3D-printed grid of tubes that provides an accurate benchmark for the calibration of the MRI scanner. The design is very lightweight, to maximize usability. Our solution includes a concept for visualizing and analyzing the measurement data, which provides the MRI user a quick and easy way of seeing where the MRI is accurate.

Sponsored by: Philips

Final Presentation: Team Ghostbusters 2014