RESEARCH AREAS

Image-Guided Focused Ultrasound

Research Area: Computer-assisted Image-guided Interventions
Leader: Prof. Dr. Andreas Melzer

The Image-Guided Focused Ultrasound research unit deals with new image-guided procedures and therapeutic assistance systems in the non-invasive field. The focus is on the use of focused ultrasound (FUS) guided by magnetic resonance imaging (MRgFUS). A number of preclinical and clinical trials are investigating potential applications on various organs. Furthermore, research is being carried out on robot-assisted MRgFUS and interventional techniques in PET/MRI. A further research area is targeted drug delivery and radiation therapy via in vitro cell cultures as well as the investigation of the combined application of radiation therapy and FUS in cancers (Meta-ZIK SONORAY).

MR-Guided Interventions

Research Area: Computer-assisted Image-guided Interventions
Leader: Prof. Dr. Andreas Melzer

Minimally invasive procedures are used for patient-friendly diagnosis and treatment, and are currently primarily performed using X-ray imaging. The MRI-Assisted Interventions research unit deals with the transfer of minimally invasive interventions into the environment of magnetic resonance imaging. In addition to improved soft tissue contrast, advantages include the absence of iodine-containing contrast agents and ionizing radiation. The project work includes developing innovative MR-compatible instruments and researching a suitable medical workflow that takes safety regulations, restricted patient access and communication in the MR environment into account.

Model-based Automation

Research Area: Model-based medicine and intelligent operating room
Leader: Prof. Dr. Thomas Neumuth

Rapid advances in information and communication technologies in the field of medical devices are significantly changing the demands placed on modern surgical workplaces. The Model-based Automation and Integration (MAI) research field involves developing a “smart” operating theater: adapted to the needs of surgeons, its technology can be used effectively thanks to the systems’ compatibility with each other. The goal of this integrated workplace is the qualitative and quantitative improvement of surgical procedures by reducing non-productive secondary work and increasing patient safety through surgical workflow management.

Digital Patient Model

Research Area: Model-based medicine and intelligent operating room
Leader: Prof. Dr. Thomas Neumuth

The growing number of medical examination options and forms of therapy for complex diseases necessitates more patient-specific therapeutic decisions and processes, so as to increase the likelihood of a better clinical outcome. This is complicated significantly by the amount and variety of patient data collected and the fragmented way in which this information is stored, not to mention the variety of treatment options available. The Personalized Medicine research field addresses these problems by modelling therapeutic decision processes and developing decision support systems, patient-specific therapy process models, methods for extracting and structuring relevant information from patient files, and standardized information models.

Life Support Systems

Research Area: Model-based medicine and intelligent operating room
Leader: Prof. Dr. Thomas Neumuth

The Life Support Systems (LSS) research unit investigates innovative, non-invasive methods for diagnosing and monitoring the progression of lung damage, with further organ dysfunctions planned for the future. The current focus is on the further development of electrical impedance tomography (EIT) for the patient-specific visualization of lung function, with a particular emphasis on practicability in emergency situations in and outside of hospitals. The research unit is also concerned with the quantitative analysis of CT scans for the numerical assessment of pulmonary ventilation disorders, which goes beyond the visual evaluation of CT slices. Collaboration with medical technology manufacturers facilitates the transfer of research results into clinical medical devices.

Intraoperative Multimodal Imaging

Research Area: Intraoperative multimodal imaging
Leader: PD Dr. habil. (PhD) Claire Chalopin

This research unit deals with the development of non-invasive imaging-based assistance systems for surgical applications. The focus is on ultrasound imaging to support brain tumour surgery, infrared thermography for planning skin grafts, and hyperspectral imaging for monitoring the patient’s condition and identifying anatomical structures in visceral surgery. In addition to the use, clinical evaluation and improvement of imaging devices for the operating theater, the unit develops innovative and specific algorithms for supporting the interpretation and analysis of image data, evaluating this information in close cooperation with clinical partners.

Biomedical Data Analysis

Research Area: Biomedical Data Analysis
Leader: Prof. Dr. Galina Ivanova

The Research Group Biomedical Data Analysis is dedicated to the development of new methods and tools for the investigation of complex biomedical processes and systems. It unifies know-how in the areas of designing algorithms, analytical pipelines and modelling of complex biomedical processes as well as the efficient software implementation and finally the integration into various diagnostic, therapeutic and preventive applications. Our know-how ranges from the design of studies, the support of data acquisition, the analysis of large amounts of data and the development of individualized methodologies and software to the preparation of demonstrators and prototypes which can be transferred into marketable products. The fields of medical algorithms, multimodal neuroimaging as well as mHealth and eHealth are a special focus of the group.