Research Activities

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

4D Medical Image Computing

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4D Medical Image Computing for Model-based Analysis of Respiratory Tumor and Organ Motion
(funded by German Research Foundation)
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4D Medical Image Computing for Image-based Risk Assessment in Radiation Therapy of Moving Tumors
(funded by German Research Foundation)
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Artefact reduced Reconstruction of 4D-CT Data Sets from 3D-CT Data Segments
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Integrated 4D Segmentation and Registration of Spatio-temporal Image Data
(funded by German Research Foundation)
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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)
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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

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Probabilistic Statistical Shape and Appearance Models for Robust Multi-Object Segmentation in Medical Image Data
(funded by German Research Foundation)
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Extended statistical shape models based on probabilistic correspondences for 3D segmentation of medical images
(funded by German Research Foundation)
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Integrated 4D Segmentation and Registration of Spatio-temporal Image Data
(funded by German Research Foundation)
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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

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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)
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Similarity and uncertainty in medical image analysis
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4D Medical Image Computing for Model-based Analysis of Respiratory Tumor and Organ Motion
(funded by German Research Foundation)
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Integrated 4D Segmentation and Registration of Spatio-temporal Image Data
(funded by German Research Foundation)
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Integrated Analysis and Probabilistic Registration of Medical Images with Missing Correspondences
(funded by German Research Foundation)

Image based Virtual Reality Simulation and Modelling

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

Machine learning for multimodal image analysis in medicine

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Automatische Analyse und Erkennung von Bildstrukturen in 3D-/4D-OCT-Bilddaten unter Verwendung von Verfahren des maschinellen Lernens
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Decision Forest Variants for Brain Lesion Segmentation
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Towards Realtime MR-guided Motion Compensation using Model-based Registration without Fiducial Markers
(funded by German Research Foundation)
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MRI-based pseudo-CT synthesis for attenuation correction in PET-MRI and Linac-MRI
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Learning to Predict Stroke Outcome based on Multivariate CT Images
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Learning Contrast-invariant Contextual Local Descriptors and Similarity Metrics for Multi-modal Image Registration
(funded by German Research Foundation)
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Automatic Patient Individual Contrast Agent Dose Optimization (iQ-CM)
(funded by BMBF)

eHealth

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OR.NET - Sichere dynamische Vernetzung in Operationssaal und Klinik, Teilvorhaben "OSSIE"
(funded by BMBF)
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Semantic HL7 Annotations of Clinical Device Data for the Integration of Smart Applications
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Structured data entry conformant to S3-guidelines for breast cancer documentation
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Clinical research IT infrastructure
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Development and establishment of the National Metadata Repositories (NMDR)
(funded by German Research Foundation)
Created at July 12, 2010 - 2:27pm. Last modified at February 23, 2017 - 1:53pm.

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Susanne Petersen

Tel+49 451 3101 5601
Fax+49 451 3101 5604


Ratzeburger Allee 160
23538 Lübeck
Germany