The following areas of medical informatics are in the main focus of the research activities of the Institute of Medical Informatics:

In the field of medical image processing and virtual reality simulation image processing methods, algorithms and software systems are developed for computer-based diagnostic and therapy. By using methods of semantic interoperability (semantic plug and play) cross-institutional health care delivery processes can be improved. This is mainly achieved by utilizing heterogeneous patient and device data in health care in order to enable computer-based exchange, analysis and decision support. The activities can be assigned to the following areas:

Research Projects

Machine Learning and Artificial Intelligence in Medical Image Processing

	KI-SIGS project iAuge: Homecare eye diagnostics and intelligent image analysis in ophthalmology (funded by Federal Ministry of Economics and Technology)
	Automatische Analyse und Erkennung von Bildstrukturen in 3D-/4D-OCT-Bilddaten unter Verwendung von Verfahren des maschinellen Lernens
	Deep Learning-based Generative Models for Unsupervised Anomaly Detection in Medical Images
	Decision Forest Variants for Brain Lesion Segmentation
	Towards Realtime MR-guided Motion Compensation using Model-based Registration without Fiducial Markers (funded by German Research Foundation)
	MRI-based pseudo-CT synthesis for attenuation correction in PET-MRI and Linac-MRI
	Learning to Predict Stroke Outcome based on Multivariate CT Images
	Learning Contrast-invariant Contextual Local Descriptors and Similarity Metrics for Multi-modal Image Registration (funded by German Research Foundation)
	Automatic Patient Individual Contrast Agent Dose Optimization (iQ-CM) (funded by BMBF)

4D Medical Image Computing

	4D Medical Image Computing for Model-based Analysis of Respiratory Tumor and Organ Motion (funded by German Research Foundation)
	4D Medical Image Computing for Image-based Risk Assessment in Radiation Therapy of Moving Tumors (funded by German Research Foundation)
	Artefact reduced Reconstruction of 4D-CT Data Sets from 3D-CT Data Segments
	Integrated 4D Segmentation and Registration of Spatio-temporal Image Data (funded by German Research Foundation)
	Simulation and Evaluation of the Impact of Breathing Motion on Thoracic Dose Distributions for Different Radiation Delivery Techniques using 4D CT Data (funded by German Cancer Aid)
	Segmentierung von Hirngefäßen und Blutflussanalyse in der 4D-Magnetresonanzangiographie bei zerebralen arteriovenösen Malformationen - Untersuchungen zu Hämodynamik und Gewebemarkern (funded by German Research Foundation)

Segmentation and Pattern Recognition in Medical Image Data

	Probabilistic Statistical Shape and Appearance Models for Robust Multi-Object Segmentation in Medical Image Data (funded by German Research Foundation)
	Extended statistical shape models based on probabilistic correspondences for 3D segmentation of medical images (funded by German Research Foundation)
	Integrated 4D Segmentation and Registration of Spatio-temporal Image Data (funded by German Research Foundation)
	Segmentierung von Hirngefäßen und Blutflussanalyse in der 4D-Magnetresonanzangiographie bei zerebralen arteriovenösen Malformationen - Untersuchungen zu Hämodynamik und Gewebemarkern (funded by German Research Foundation)

Image Registration and Correspondence Analysis

	Mammo3D – Automatic Detection and Visualization of Corresponding Structures and Lesions in 2D/3D Image Data of the Female Breast for Multimodal Breast Cancer Diagnosis (funded by Federal Ministry of Economics and Technology)
	Similarity and uncertainty in medical image analysis
	4D Medical Image Computing for Model-based Analysis of Respiratory Tumor and Organ Motion (funded by German Research Foundation)
	Integrated 4D Segmentation and Registration of Spatio-temporal Image Data (funded by German Research Foundation)
	Integrated Analysis and Probabilistic Registration of Medical Images with Missing Correspondences (funded by German Research Foundation)

Image based Virtual Reality Simulation and Modelling

	Patient-specific Virtual Reality Simulation of Punctures Using Puncture Atlases (funded by German Research Foundation)
	Virtual Reality Simulator for the Training of Lumbar Punctures
	Finite Element Modeling of Respiratory Lung Motion
	Patient-Individual 4D Virtual Reality Simulation of Punctures and Radio-Frequency Ablations in Virtual Body Models with Breating Motion (funded by German Research Foundation)

eHealth

	Semantic HL7 Annotations of Clinical Device Data for the Integration of Smart Applications
	Structured data entry conformant to S3-guidelines for breast cancer documentation
	Clinical research IT infrastructure
	HiGHmed (funded by BMBF)
	Nationalen Metadata Repositories (NMDR) (funded by German Research Foundation)
	Development and establishment of the National Metadata Repositories (NMDR) (funded by German Research Foundation)
	Modular Specialisations for Point-of-Care Medical Devices - PoCSpec
	Move Projekt