Methods and Models for Biological Signals and Images

Research projects

AXPET-Steering Proposal (active, PI U. Rutsalainen)
AX-PET is a novel positron emission tomography (PET) detector. AX-PET detector construction is based on long axially arranged scintillating crystals in staggered grid and interleaving orthogonal wavelength shifter (WLS) strips. The data from the crystals and the WLS strips are individually read and processed. In PET imaging, improving sensitivity while maintaining high spatial resolution is crucial. Axially placed scintillating crystals in a staggered grid can provide high sensitivity and high resolution 3D reconstruction of the gamma interaction points. The trans-axial coordinate is given by the scintillating crystals. Interaction coordinates along the crystals are reconstructed by the weighted distribution of light escaping the crystal and entering into an array of WLS strips interleaving the crystal layers. With AX-PET it is possible to achieve many improvements for PET-imaging. Web page of the AX-PET consortium.
Project is funded by Tekes.
New neuroinformatics methods for automatic analysis of brain images (active, PI J Tohka)
This project aims at developing automatic methods for the analysis of brain images. This research belongs to the general field of neuroinformatics. Neuroinformatics combines neuroscience and informatics research to develop and apply advanced tools and approaches essential for a major advancement in understanding the structure and function of the brain. The interpretation of world-wide research data would not be possible without new and powerful computational data analysis approaches. The brain research is essential for the treatment of brain disorders and in future also for the prevention of them. The primary goal of neuroinformatics and related brain research is to investigate how a healthy brain functions. Then, by using this knowledge, it will be possible to study disease processes for instance by means of computer simulations.
Project is funded by Academy of Finland for 2004-2007.
IMG-Separation (finished)
The aim in this research project is to develop new methods to analyze especially functional biological images. Our examples are positron emission imaging data, were the time-dependent uptake of selected chemical tracer into the tissues is describing basic physiological phenomena like blood flow or metabolic functions e.g. glucose consumption, which can also be quantified from the images. The dynamic acquisition in these studies enables us to use in searching of the original signal sources, the objects of the imaging process, also the time dependent information. In addition to this, for many organ and tracer combinations we can have physiological information about the expected behavior of the tracer in the tissue cells. The objective of the planned research is to combine the technical and dynamic signal separation techniques and the a priori biological knowledge to advanced analysis of functional images.
Project is funded by Academy of Finland for 2004-2007.
FUNC-IMG (finished)
New imaging and image analysis methods for enchancement of drug discovery and development.
Project is funded by Tekes Drug2000 Technology Program for 2004-2006. The project is a joint project together with Turku PET Centre, the software company Atostek Oy and the company Arctic Diagnostics Oy. Also Orion Pharma follows the project.
Voxel (finished)
Voxel-based functional analysis of emission tomography brain images.
The aim in the project was to further develop the iterative MRP reconstruction and evaluate its use for different image reconstruction purposes. Further on, a new interpretation for the measuremnt profiles (for the sinogram) was introduced, and the properties of this stack-gram domain were investigated. In addition a new global-optimisation-based deformable model has been developed and applied to the search of brain surfaces and structures delineated with these surfaces.
Project was funded by Academy of Finland for 2001-2003
FUNC-PET (finished)
Functional brain maps - enhancement of early clinical drug development.
This project aims to develop software tools for accurate analysis of large sets of functional brain images useful for exploration of specific neurotransmission systems in the living human brain in vivo. The aims will be achieved by development of optimal reconstruction method for brain images and construction of parametric PET images, which can be then analysed on voxel level with specific statistical software tools.
Project was funded by Tekes Drug2000 Technology Program for 2001-2003. The project is a joint project together with Turku PET Centre and the software company Atostek Oy.