BORL is constantly looking for students to work on master/semester projects. We offer an exciting interdisciplinary environment at the crossroad of clinical medicine, physics, engineering and computer science. Our motivation is to develop, test and clinically apply methods that will be of benefit for the patients. Our main methods are near-infrared spectroscopy (NIRS) and near-infrared optical tomography (NIROT). They are non-invasive and harmless, yet provide important clinical information on the oxygenation of tissue. If you want to apply your mechanical, electrical, or software engineering skills in a clinical field, you are very welcome to join us! We are also happy to host zivis!

Please send your CV to:

Currently available projects are here. Please note that most projects can also be adjusted to your skills and interests:

Novel Sensor Design for Preterm Infants based on Near Infrared Optical Tomography

The student will learn the principles of TR NIROT and design a sensor probe, which fits a variety of human heads, and register the system to a human brain atlas.

​Characterize the optical properties of the mouse skull bones

To improve the quality of optical neuroimaging studies on the mouse brain, the optical properties of the mouse skull need to be investigated with regard to tissue ageing. The mouse skull's optical properties will be measured with a spectrophotometer and high resolution micro-computed tomography. This project is very hands-on and diversified as it contains sample preparation and measurement in different modalities as well as adapted signal analysis.

Hardware development for an optical "PET"

A miniaturized FMT with compact design and easy handling is certainly attractive. This calls for the integration of a MEMS chip. The aim of the thesis is to integrate a MEMS chip into the current FMT design with stable power supply. Previously, we have developed a compact FMT/MRI hybrid system, which serves as a starting point for the project.

​Image reconstruction for an optical "PET"

Light when penetrating living tissue is exponentially attenuated and highly scattered, rendering the FMT image reconstruction an ill-posed problem. The aim of the project is to improve the reconstruction algorithm for FMT. We have developed Smart Toolkit for fluorescence tomography (STIFT), a comprehensive software platform for simulation, optimization and reconstruction based on finite element method (FEM). Light propagation through heterogeneous tissues has been addressed. The FMT reconstruction quality has been validated by a series of silicone phantom studies together with a few in vivo applications.

Tracking the temporal changes of tissue-bulk optical properties for time-resolved NIROT

The student will work on creating a method to obtain the bulk optical properties of a tissue using the data acquired from our TR-NIROT system Pioneer.

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