High Profile

Introducing end-to-end neuro-imaging; Innovation based on leveraging cross-domain building blocks.

HIGH PROFILE combines industrial and clinical driven R&D activities dealing with massive image processing systems, with special attention to neurological imaging. The project’s approach is to progress state-of-the art for the complete end-to-end chain: image acquisition, image processing and visualisation. The project aims to speed-up innovation through the use of image processing building blocks that  have proven themselves in other domains.

This video gives a high speed impression of the kind of building blocks that we are creating:

The use-case of HIGH PROFILE originates from the patient and the medical professional. They are both interested – each in their own way – in information what is the cause of the problems the patient is experiencing, and for the project case this might be originating from anomalies in the patient’s brain. Both patient and several medical professionals need information – presented in such a way that it fits within the clinical workflow. This information is extracted from data, that is become available through sensors and images made of the patient. Both data and information processing is partially done on the embedded system that makes the images, partially on the embedded system visualising information, but also on intermediate systems. This use case is extensively described in the public deliverable:

D1.1.1: Clinical workflows and generic output based requirements for advanced imaging applications (PDF).

To address the use case the HIGH PROFILE project concentrates on the following topics in end-to-end neuro-imaging:

Visualisation: Provide the relevant patient information in a ways that is conceivable for the medical professional and the patient within the clinical workflow at devices that are used in this workflow.

Visualisation deals with the following cross-domain concerns:

  • Fast and easy access to 2D, 3D & 4D imagery within a workflow
  • Large data exchange with short latency

Visualisation is the topic of WP5.

Image processing: Development of new algorithms extracting accurate information from the medical images. multi-scale, adaptive algorithms to merge information, originating from (f)MRI, MRS, and EEG)  and comparison/fusion of images with physiological models. These algorithms comprise the topic of WP4.

Image processing deals with the following cross-domain concerns:

  • Extraction of correct information
  • Cost effective and flexible image processing
  • Real time massive image processing
  • Low latency large data processing on multicore COTS

The cross-domain concerns of image processing are topic of WP2.

Acquisition: Development of new neuro-sensors (NIRS), and the improvement of existing ones, like EEG, ECoG and MRS, and improvement of the acquisition of (f)MRI images. In addition HIGH PROFILE aims to support combined acquisition of images from different medical equipment modalities (MRI, MRS, fMRI and EEG). An important aim is to make the image acquisition patient-adaptive, meaning that the system adapts to physiological parameters of the patient to provide the best result.

Acquisition deals with the following cross-domain concerns:

  • Context adaptive image capturing
  • Ever increasing resolution & frame rate up to real time
  • Images from multiple sources

Acquisition is the topic of WP3.

Better imaging of the central nervous system and the head/neck area will improve diagnosis treatment of neurological diseases like insomnia, depression, multiple sclerosis and epilepsy, as well as brain and head/neck cancer. The approach developed by HIGH PROFILE for these conditions should also be extendable to the whole field of advanced medical imaging.


Frank van der Linden
Philips Healthcare
Strategy and Innovation
PO box 10.000
5680 DA Best
the Netherlands

tel +31622522460
email: frank.van.der.linden@philips.com

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