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Advanced signal processing methods for high quality funtional magnetic resonance imaging

Functional Magnetic Resonance Imaging (fMRI) is a tool for noninvasively exploring the functionality of the human brain. The method has already provided many insights to the function of the brain. Since examinations can be performed on widely available clinical MR scanners and without using exogenous contrast agents, the potential use for preoperative investigations and following up neurological diseases are important goals within reach. The proposed project aims at developing analysis methods that are able to extract relevant information from the large amount of data acquired in an fMRI examination. This includes many challenging problems such as compensating for patient motion, modeling brain hemodynamics, fusion between different MR images for neurological interpretation and efficient filtering approaches to locate active brain areas. To achieve the robustness required for routine clinical use of fMRI, advanced signal and image processing procedures that solve the above issues need to be developed and evaluated.

  • Principal Investigator:
    Magnus Borga
  • Main Supervisor:
    Magnus Borga
  • Medical Area:
    Central Nervous System
  • Technical Area:
    Data Acquisition and Reconstruction
  • Modality:
    Magnetic Resonance Imaging
  • Medical Activity:
  • Technical Activity:
  • Grants:
    2610 kSEK
  • Financial Body:
  • Financial Support:
  • Man Months:
  • Project Duration:
    2003/01/01 - 2008/12/31
  • Former Staff:
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