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Nuevo programa informático de imagen y dispositivo para la representación visual automática de datos de difusión en imágenes de resonancia magnética de sistemas nerviosos

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TODE20160826002
Publicado:
25/11/2016
Caducidad:
25/11/2017
Resumen:
Un equipo de técnicos médicos de una universidad alemana especializado en procesamiento de datos gráficos médicos ha desarrollado un nuevo método de visualización de fibras nerviosas basado en datos de difusión en imágenes de resonancia magnética. Este método permite conseguir una mejor percepción de estructuras fibrosas pequeñas, intersecciones, uniones y contactos y una representación detallada de las estructuras y orientaciones de las fibras nerviosas más finas en la sustancia blanca cerebral. El equipo busca socios en todas las regiones de la EEN con el fin de establecer acuerdos de licencia y cooperación en materia de I+D.


Details

Tittle:
Novel imaging computer program and device technique for automated visual representation of magnetic resonance imaging diffusion data of nervous systems.
Summary:
A team of medical engineers from a German university, active in graphical medical data processing, developed an innovative method for the visualization of nerve fibres on the base of magnetic resonance imaging diffusion data, achieving a better perception of small fibrous structures, intersections, junctions and contacts.
The scientists are looking for a licensing agreement or for a research -Y- development cooperation agreement in all regions covered by the network.
Description:
Initial Situation:

The diffusion-weighted magnetic resonance imaging (MRI) is an imaging technique, which is used primarily for the examination of brain areas and other parts of the human nervous system. The currently preferred procedure to visualize the MRI diffusion data the uses colour-coded fractional anisotropy (FA) maps and tractography algorithms for fibrous web reconstruction.
FA-maps are sectional images, which give conclusions about the nerve fibres presence and orientation. The problem of current colour-coded FA maps is that the imaging of complex nerve fibres architectures, especially in the white brain matter, is insufficient and not detailed enough. The tractography method shows the three-dimensional orientation of fibrous webs, but the underlying reconstruction is highly user controlled and therefore prone to errors. Based on the current state of the art, methods are needed to cut the difficulties of diffusion-weighted MRI, which also implies to reduce the risk of human misinterpretations as well as to facilitate a detailed presentation of the finest fibre structures and orientations especially in white brain matter.


Innovation:

The Invention has been made by a group of scientists active in the field of medical data processing at one of Germany´s most prestigious universities. The issues described has been solved by a process, which is based on the line integral convolution (LIC) method. The input pattern used by this method, consists of multi directional glyphs, which represent several diffusion directions and is deduced from diffusion data. The placement of the glyphs doesn´t take place in the grid of the measured diffusion data, but in a higher resolution grid instead. The result is an improvement of fibre continuity visualization. The described input pattern of multidirectional glyphs generates therefore a higher contrast and enables an improved awareness for small nerve fibre structures and the imaging of crossings, branches and points of contacts. Since the method is resilient and reliable and does not require any user interaction, it can be used to MRI scanners as a more meaningful alternative for providing colour-coded FA Maps or for the better placement of seed points for nerve fibre reconstruction.

In order to ensure a commercialization and a further development of the invention to its full potential, the inventors are looking for a cooperation in the framework of a licensing agreement or a development cooperation agreement in all regions covered by the network.

Advantages and Innovations:

Advantages and Innovations:

- Detailed representation of finest nerve fibre structures and orientations especially in the white brain matter.
- Reliable and detailed Imaging of nerve fibres without the necessity of user interaction.
- Reducing the chance of human errors through automated analysis of initial data.
Stage of Development:
Concept stage
IPs:
Patents granted
CommeR Statunts Regarding IPR Status:
Patent DE Granted, Patent PCT pending

Partner sought

Type and Role of Partner Sought:
The scientists are looking for an industry partner at any size for licensing agreement or for a development cooperation in all regions covered by the EEN for the development of their innovation to its full potential and for its commercialization.

Client

Type and Size of Client:
University
Already Engaged in Trans-National Cooperation:
Si
Languages Spoken:
English
German

Keywords

Technology Keywords:
01004001 Applications for Health
01003006 Computer Software
06001005 Diagnósticos, diagnosis
01003012 Imaging, Image Processing, Pattern Recognition
06001014 Neurología, investigación cerebral