Projects

Please find here a list of recently funded projects of the institute.

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Projects

Title Short description Coworker Cooperation partner
Berliner Zentrum für Maschinelles Lernen The BMBF-funded competence centre aims at the systematic and sustainable expansion of interdisciplinary machine learning research, both in proven research constellations and in new, highly topical scientific objectives that have not yet been jointly researched. The Institute is working on AP17: Assessment of Cardiac Muscle Regeneration from Images and Proteomics. Anja Hennemuth, Titus Kühne TU Berlin Fraunhofer HHI Zuse-Institut Berlin FU Berlin Universität Potsdam WIAS Berlin Max-Planck-Institut für Wissenschaftsgeschichte Max-Planck-Institut für Molekulare Genetik MDC DHZB HU Berlin
Bilddatenmanagementsystem des DZHK - Berlin The central image data management system at the German Centre for Cardiovascular Research (Deutsches Zentrum für Herz-Kreislauf-Forschung, DZHK) is designed to ensure a standardized, quality-assured and efficient management of biomedical image data in the studies conducted by the DZHK and represents an important infrastructure component in the DZHK. Titus Kühne, Jens Schaller DZHKKlinikum der Universität München / Institut für Klinische RadiologieUniversitätsmedizin Göttingen / Institut für Medizinische InformatikUniversitätsmedizin Göttingen  / Institut für Diagnostische und Interventionelle RadiologieUniversitätsmedizin Greifswald / Unabhängige Treuhandstelle
DSSMitral - Decision Support Software für die Therapie von Mitralklappenerkrankungen A software is to be developed which supports the physician in choosing the optimal treatment method. The software should allow the virtual simulation of real operations and interventions. The change in cardiac function and hemodynamics due to a planned operation should be predicted. Titus Kühne, Ulrich Kertzscher, Leonid Goubergrits, Anja Hennemuth, Hanieh Mirzaee, Lennart Tautz, Katharina Vellguth, Faniry Razafindrazaka, Florian Hellmeier, Jan Brüning Fraunhofer MEVISDeutsches Herzzentrum Berlin
ArtiCardio - KI-basierte digitale Therapieunterstützung für die Kardiologie, Teilvorhaben: "Bildbasierte Modellierung der Hämodynamik bei kardiovaskulären Erkrankungen" It aims to provide decision support software for the treatment of aortic stenosis and cardiac valve diseases based on form-function linking with the application of three technologies: numerical fluid mechanics, statistical form models and machine learning Titus Kühne, Leonid Goubergrits 1000shapesSiemens Healthcare GmbH
HEIBRiDS - Doctoral Program in Data Science HEIBRiDS focuses on data science from medicine and geo-sciences to information technology and engineering and provides an internationally highly recognized and vivid research environment within these research areas combined with the supervision by an interdisciplinary team and a rich lecture program. Titus Kühne 6 Helmholtz-Centers (AWI, DESY, DLR, GfZ, HZB and MDC) in and around Berlin in cooperation with the Einstein Center for Digital Future involving the Berlin universities Charité, FU, HU, TU, and UdK
Entwicklung von experimentellen und numerischen Modellen der Plättchenanlagerung The aim of the project is to characterize platelet deposition under fluid flow as the beginning of thrombosis. Klaus Affeld, Ulrich Kertzscher, Felix Hehnen  
Computer unterstützte Analyse und Vorhersage des haemodynamischen Ergebnisses von Behandlungsstrategien bei Angeborenen Herzfehlern II The aim of the project is to develop personalized diagnostic-prognostic methods for patients with congenital heart defects based on innovative cardiac imaging, biofluid mechanics and computer modelling. Leonid Goubergrits, Kay Brosien, Marcus Kelm, Kilian Runte, Florian Hellmeier, Jan Brüning Deutsches Herzzentrum Berlin
GlycoVAD - Entwicklung von Herzunterstützungssystemen mit einer antithrombogenen Beschichtung auf der Basis von Polyglycerinen The aim of the project is to prevent thrombosis on blood pumps by means of a new type of coating. Klaus Affeld, Ulrich Kertzscher, Tim Bierewirtz, Felix Hehnen, Grischa Gabel Berlin HeartFU Berlin, Institut für Chemie und Biochemie
RadialisPeriOP - Belastungsarme Ermittlung von Vitalparametern auf der Basis der Flussmessung in der Handgelenksarterie One aim of this subproject is to design and manufacture essential components of a novel method of measuring blood pressure at the wrist artery. A further objective of this sub-project is the simulator for the research and testing of these components. System integration then follows. Klaus Affeld, Ulrich Kertzscher, Paul Geus GamptTU Berlin Fachgebiet RegelungssystemeLB EngineeringUniversitätsklinikum Gießen-Marburg Klinik für Anästhesiologie, Operative Intensivmedizin und SchmerztherapieDHZB
Folgeantrag miniVAD II Herzunterstützungssysteme New technical and clinical approaches for the realization of cost-oriented VAD therapy II Klaus Affeld, Ulrich Kertzscher, Michael Lommel Berlin HeartFU Berlin, Institut für Chemie und Biochemie
Entwicklung eines optischen Mikroringsensors zur quantitativen Bestimmung von Elektrolyten OptION The aim of the project is to investigate an optical microring sensor for the quantitative determination of electrolyte concentrations in human blood samples. Klaus Affeld, Ulrich Kertzscher Eschweiler GmbH & Co. KGFraunhofer HHIScienionCharité Laboratoriumsmedizin
Neuartige Sonde zur in vivo Isolierung von zirkulierenden Endothelzellen für die Diagnose und Verlaufskontrolle von kardiovaskulären Erkrankungen Ziel des Projektes ist die Erforschung einer Sonde, die die Isolierung von zirkulierenden Endothelzellen (CEC) in vivo direkt aus dem Blut des Patienten ermöglicht. Das Identifizieren seltener CEC ist ein neuer, zuverlässiger Biomarker, der mit Endothelschäden assoziiert ist. Aus klinischer Sicht sind diese Endothelzellen wichtige Indikatoren für pathologische Prozesse im Körper und können daher zur Diagnose und Verlaufskontrolle von verschiedenen kardiovaskulären Erkrankungen eingesetzt werden. Ulrich Kertzscher, Leonid Goubergrits INVICOL GmbH Beuth Hochschule für Technik Berlin / Labor für den Computereinsatz in der Produktion
EVOLchip - Vorhersage der Antibiotikaresistenz für eine nachhaltige Antibiotika-Behandlung The aim of the EvolChip project is to develop a device that simulates the development of resistances. In addition, the effectiveness of dynamic antibiotic combinations can be investigated. This helps to avoid the development of resistances and to give therapy recommendations. There is currently no commercial device that predicts future resistances. EvolChip models the pharmacokinetic situation in patients better than previously available processes. Vera Froese, Malte Mütter FU Berlin, AG Rolff - Evolutionsbiologie
DiANa - Digitale Analyse der Nasenatmung The aim is the phenotyping of nasal respiration on the basis of the analysis of nasal geometry, pressure loss and wall shear stress with the application of numerical fluid mechanics and statistical form models. Leonid Goubergrits, Jan Brüning, Anja Hennemuth, Thomas Hildebrandt Konrad Zuse Institut1000shapes
Morphometrie und Hämodynamik von zerebralen Aneurysmen Prediction of the risk of rupture of cerebral aneurysms based on morphometric and hemodynamic analysis. Optimization of treatment strategies (Coils, Clips, Flow Diverter, Huntarian Ligation). Leonid Goubergrits, Jan Brüning, Jens Schaller, Florian Hellmeier Helios Klinikum Berlin-Buch, Neurochirurgie
Software Assistance for Interventional Radiology and Cardiology We develop a software platform that simplifies the preparation, simulation and monitoring of minimally invasive, cardiovascular and percutaneous procedures. Our goal is to help physicians to perform catheter and needle interventions more accurately and to achieve improvements for patients and the health care system. Our work includes innovative hardware to improve instrument navigation using sensor and robot technologies. Hanieh Mirzaee, Andreas Schreiber Fraunhofer MEVISFraunhofer IPA
DFG Carotis Plaque The aim of the project is to investigate individual risk factors for strokes caused by pathological changes of the carotid arteries. To this end, methods for the analysis of vessel properties such as hemodynamics and the structure of the vessel wall are being developed on the basis of innovative MRI protocols. Anja Hennemuth, Lilli Kaufhold Fraunhofer MEVISUniversitätsklinikum Freiburg
Gewebeklassifikation und Machine Learning With the aid of machine-learning, plaque components in carotid plaque are automatically detected and analyzed. Hanieh Mirzaee, Lilli Kaufhold, Anja Hennemuth Fraunhofer MEVISUniversitätsklinikum Freiburg
Bildbasierte Bewegungsanalyse We investigate the motion analysis of cardiac structures such as heart valves and septum in time-resolved image data as a supporting component in diagnosis and therapy planning. The analysis should enable the tracking and segmentation of structures as well as the characterisation of their movement. Lennart Tautz, Anja Hennemuth Fraunhofer MEVISDeutsches Herzzentrum BerlinUniversitätsmedizin GöttingenMax-Planck-Institut für biophysikalische Chemie GöttingenNew York University
Bildbasierte Analyse der Hämodynamik In order to derive information about blood flow, pressure distribution, connectivity, etc. from phase contrast MRI image data, preprocessing, analysis and visualization methods are developed here. Hanieh Mirzaee, Anja Hennemuth Universitätsklinikum FreiburgUniversitätsklinikum Schleswig-HolsteinDeutsches Herzzentrum MünchenInselspital BernNorthwestern University Chicago
Mobile Anwendungen und Cloud-Computing in der bildbasierten Medizin Integration of visualization and analysis techniques of medical image data into mobile and distributed applications to support diagnostics, therapy planning and clinical studies Peter Kohlmann Fraunhofer MEVIS
Softwaretechnologien für bildbasierte klinische Anwendungen Concepts for the use of agile software development in the field of applied research, prototyping and product development, e. g. with the MeVisLab platform Jan-Martin Kuhnigk Fraunhofer MEVIS
e:Med SMART - Systems Medicine of Heart Failure The overall goal of SMART is to implement methods to individually predict the efficacy of aortic valve stenosis treatment. Titus Kühne, Sarah Nordmeyer Bayer Technology Services, Deutsches Herzzentrum Berlin, Max-Delbrück Center, Hasso-Plattner-Institut
My Health My Data MyHealthMyData (MHMD) aims at introducing a new way to share private information and empower their primary owners, the patients. MHMD will foster the development of a true information marketplace, enabling individuals to exercise full control over their personal data and leverage their value, implementing new mechanisms of trust and direct, value-based relationships between EU citizens, hospitals, research centres and businesses. Titus Kühne Lynkeus, Athena Research and Innovation Center, IEIIT-CNR group, Digi.me, Gnúbila, HES-SO (University of Applied Sciences Western Switzerland), Panetta & Associati, SBA Research, Siemens Healthcare, Transilvania University of Braşov, Charité, Ospedale Pediatrico Bambin Gesù, Queen Mary University London, University College of London
EurValve - Personalised Decision Support for Heart Valve Disease EurValve will implement, test and validate a modelling based decision support system (DSS) for aortic and mitral valve diseases that allows simulating, comparing and understanding the effects (outcomes) and risks of different treatment strategies. In addition, the DSS will improve knowledge of disease mechanisms by applying a holistic assessment of cardiovascular function that includes haemodynamic data at all cardiovascular compartments (ventricle, valve, vessels) and multiscale components that couple organ with cell function. Marcus Kelm University of Sheffield, ANSYS, Catharina Hospital in Eindhoven, Academic Computer Centre CYFRONET, Université de Rennes, Max Delbrück Center for Molecular Medicine, Philips, Sheffield Teaching Hospitals, Therenva, Eindhoven University of Technology, University of Bristol