We are offering theses on a number of topics, including medical robotics, mobile robotics, navigation and image guidance, medical image analysis, machine learning, treatment planning and optimization.

Below, you will find summaries of our research interests. If you are interested in a topic and there is no specific thesis available, feel free to contact us. We have a number of further topics evolving with our daily research, and we are open to interesting topics beyond this.

When contacting us, please attach your transcript of records, both from bachelor and master. Also, briefly explain your technical interests and skills (e.g. programming, machine learning, robotics, image processing).

 martin.gromniaktuhh.de      +49 (0)40 42878 3828       E.3088

Image Guidance and Navigation

In Image-guided medical procedures, surgeons use tracked instruments together with real-time images and potentially preoperative images to guide the procedures. Images can be acquired with different imaging modalities. At MTEC our focus is ultrasound, optical coherence tomography, and 3D cameras.

Current thesis topics:

  • Development of a Data Aquisiton Setup for EEG Electrode Detection Opens external link in new window[studIP Link]
  • Deep Learning-Based Needle Pose Estimation from 3D Camera Data Opens external link in new window[studIP Link]
  • Ultrasound to 3D Camera Calibration for Needle Guidance Opens external link in new window[studIP Link]

Haptic Feedback

In the context of robot-assisted minimally invasive surgery, the use of haptic feedback force has the potential to greatly improve the dexterity of the surgeon. At MTEC we are examining how general-purpose light-weight robot (LWRs) can be used as high quality haptic feedback devices.

Current thesis topics:

  • Design of a Force Feedback Controller for an LWR robot with the goal of steering a surgery device

Object Tracking

In a current research project, the correlation between nutrition, age and mobility should be investigated. For this purpose, zebrafishes will be used as model organisms. The individual fishes should be tracked based on camera image and a metric for their mobility will be calculated based on their trajectories. Multiple cameras facing different sides of the aquarium will be used to minimize occlusions between fishes.

Current thesis topics:

 maximilian.neidhardttuhh.de       +49 (0)40 42878 4639      E.1051


Optical Coherence Tomography is an optical imaging modality based on interferometric measurement of reflections of near-infrared light from different tissue depths. It offers a field of a view few millimeters but micrometer-scale spatial resolution.

The very high temporal resolution of modern OCT systems make it ideal for imaging shear waves which travel at high speed through tissue. The spreading of the wave can be directly linked to the elastic properties of a potential malignant tissue.

Current thesis topics:

Ultrasound Imaging

Medical ultrasound has been long established in the clinical routine and is still today advancing. Our lab offers two research ultrasound machines which can be used in a variety of scenarios such as:

  • Tracking approaches with a robot
  • Online image segmentation
  • Shear wave elastography imaging.
  • Image processing (beamforming)

Please contact me if you are interested in one of the above topics. In general you should bring enthusiasm for experimental lab work, good programming skills (C++/Python/Matlab) and the ability to work independently.

lennart.bargsten@tuhh.de       +49 (0)40 42878 3547       E.3087

Deep Learning and Other Methods Applied at Intravascular Ultrasound Image Data

Intravascular ultrasound (IVUS) is a medical image acquisition modality, where a catheter with an attached ultrasound probe is used to generate images from the inside of blood vessels (particularly coronary arteries). It can be used to detect stenoses or other vascular diseases, as well as for inspecting stents.

Deep learning tasks include the segmentaion of certain layers of the artery wall, detection of stenoses or stents or generating new labeled images be means of generative adversarial networks (GANs). GANs can also be used to enhance the image quality, to reduce the intensity of artifacts or to determine distributions of echogenicity or tissue density.

Current thesis topics:

  • Application of GANs for augmentation of limited IVUS data
  • Segmentation of IVUS pullbacks by means of recurrent neural networks
  • Extraction of 3D stent geometry from IVUS pullbacks
  • Transform disordered IVUS pullbacks into 3D artery representations

 johanna.sprenger@tuhh.de     +49 (0)40 42878 4639     E.1051

Image Guidance and Navigation

Image guidance, motion compensation and navigation are important in medical scenarios to support the surgeons and keep the patient safe. Different imaging modalities can be considered for these tasks, e.g. optical coherence tomography, ultrasound or camera systems.

Current thesis topics:

Deep Learning in Medical Imaging

Medical imaging technologies deliver valuable information about the patients health. We have different medical systems in our lab and apply conventional image processing and deep learning methods to the acquired data. Different research projects are for example:

  • Robotized surface scans and volume stitching with optical coherence tomography
  • Robotized scanning of phantoms with ultrasound
  • Needle placement and tracking with ultrasound guidance
 stefan.gerlach@tuhh.de      +49 (0)40 42878 3828       E.3088

Treatment Planning

In robotic radiation therapy, ionizing radiation is delivered by a linear accelerator that is mounted on a robotic arm. This allows to deliver dose from practically arbitrary many directions that overlap in the target. Treatment planning determines from which directions dose should be delivered.

Current thesis topics include the following links:

Virtual Reality Training

For old patients in particular, falling can cause severe injuries. An improved body control can help mitigate the increased risk of falls that is associated with high age. However, individual training is expensive and often not feasible. Therefore, we are developing a virtual reality (VR) based training application to improve body control for old patients.

Please contact me directly for available thesis topics.
 schlaefer@tuhh.de       +49 (0)40 42878 3050      E.3085

Generally, I supervise all theses offered through our institute and I will be actively involved in theses projects. For more information, please see the topics offered through the research assistants.

However, there are number of toy projects I foster myself. Often these are longer shot problems that may have some impact in the future. For example, if you are interested in mobile robotics, please contact me. Also, I am happy to discuss your ideas if they are related to our research.