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Bildgebende Diagnostik

BD-20: Haemodynamic simulation and personalised treatment for neurovascular disorders

Project aims

The overarching aim of the project is to tap into a new dimension of haemodynamic simulation directly in an interventional environment and provide personalised treatment for cerebrovascular disorders. The project focus, particularly the creation of an efficient, realistic, temporal and spatial simulation of haemodynamic data and the resulting treatment optimisation in terms of individualised medicine, is in accordance with the objectives of the top cluster, particularly the interdisciplinary, workflow-based development of new imaging and image-processing techniques.

BD-15: Quality assurance of medical X-ray systems with a novel spectroscopic pixel detector

Project objective(s)

This project is to provide a deeper understanding of the use of spectroscopic pixel detectors in clinical radiology environments. Its aim is the evaluation of different prototypes and the examination of different filter geometries and materials with respect to their suitability in such a measuring system. The key challenges here are the high radiation doses and dose rates as well as the great number of possible settings in new X-ray systems.  

Brief project description

The project is a collaboration between the University of Erlangen and IBA Dosimetry GmbH.

BD-14: Interferometric X-ray imaging

Project objective

The "Interferometric X-ray imaging" project within the Medical Valley Cluster of Excellence has a two-pronged objective. The first objective is to evaluate the phase contrast method in terms of the diagnostic benefit by comparing the new image data, in particular data obtained through dark-field imaging, with established techniques. Medically relevant application fields in this context include imaging of the lungs, orthopedics, degenerative diseases, and in particular breast imaging.

The second objective of the project is to improve the current laboratory setup such that,

BD-17: Increased security and efficiency for colonoscopies

Project description

In this joint project, the project partners aim to develop an innovative, mobile and interactive workstation for colonoscopy, with extensive navigation and control systems and expanded diagnostic elements for optimised investigation and treatment. Our healthcare system is burdened by frequently overlooked bowel cancer precursors, long waiting times for patients and a hectic working process for the doctor and his assisting physicians, combined with a use of resources that does little to achieve the objective.

BD-16: Multimodal flat-panel volume CT for neurovascular diseases

Project objective(s)

The overall objective of the interdisciplinary research project is to open up a new dimension of flat-panel imaging for a more efficient and patient-specific management of stroke and neurovascular diseases in general. The primary goal is to specifically develop a multimodal functional imaging platform based on established flat-panel technology (FD CT) and to integrate it into the interventional environment. In particular, the focus will be on quantitative whole-brain perfusion imaging and on improving image quality.

BD-09: Developing a procedure for the manufacture of superconductive contacts for new magnetic resonance imaging scanners

The MRI systems currently in use contain around 1 000 liters of liquid helium to cool the superconductive magnets. If cooling were possible with significantly less helium, there would be no need for the pressure vessel. The systems' inner bore could be larger, bringing benefits to both patients and staff. This goal can be achieved by using magnet wires with the new superconductive material MgB2. It works at much higher temperatures than conventional superconductors, thus making cooling easier.

BD-07: Open and quiet MR tomographs by new coil and gradient technology

This project deals with two issues relating to MR tomography which the patient views as bothersome. In current MR systems, MR signals are received by small local coils. Placing these local coils and keeping them in position takes time and is unpleasant for the patient. Development of an RBA (remote body array) will make local coils unnecessary for many examinations.

The second point is that the gradients induce magnetic eddy currents in the MRT magnetic system during an MR measurement; these are very noisy for the patient.

BD-04: Integrated Breastcare

With its seven sub-projects, the Leading Edge Cluster's "Integrated Breast Care" project covers most of the research spectrum in the field of breast cancer diagnostics. The state-of-the art in breast cancer diagnostics is currently being advanced in the field of in-vitro diagnostics, MR, MR PET, tomosynthesis and ultrasound scans as well as in the field of CAD. A study has been initiated within the framework of this project in which the patient has the opportunity of benefiting from all these diagnostic procedures.

BD-03: High-performance X-ray tube assembly for breast CT

In diagnostic imaging, there is a trend toward three-dimensional spatial resolution imaging: in X-ray technology that means moving away from classical radiography to computer tomography (CT). The Germany Ministry of Education and Research's "Breast CT" project aims to develop a CT system especially for mammography. This CT system will require the X-ray generation system which the Medical Valley project aims to realizes, a system characterized by very small focal spots with very high surface power density and a small mounting space requirement.

The innovative advance compared to current

BD-13: Peripheral CT – Special device for CT of the extremities

Project objective(s)

The primary objectives of the "Peripheral CT" project of CT Imaging GmbH are baseline studies and predevelopment for compact, flexible CT systems. Such systems permit, for example, examinations of standing, seated and, where necessary, recumbent patients. This innovative approach would enable examinations of joints even under load. In addition, image reconstruction techniques are being developed which, for the first time, are to allow effective correction of image artifacts through model-based iterative methods. These artifacts currently make accurate diagnosis, e.g.

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