Search Results - "Hartkens, T"

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  1. 1

    Non-rigid image registration: theory and practice by Crum, W R, Hartkens, T, Hill, D L G

    Published in British journal of radiology (01-01-2004)
    “…Image registration is an important enabling technology in medical image analysis. The current emphasis is on development and validation of application-specific…”
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    Journal Article
  2. 2

    Measurement and analysis of brain deformation during neurosurgery by Hartkens, T., Hill, D.L.G., Castellano-Smith, A.D., Hawkes, D.J., Maurer, C.R., Martin, A.J., Hall, W.A., Liu, H., Truwit, C.L.

    Published in IEEE transactions on medical imaging (01-01-2003)
    “…Recent studies have shown that the surface of the brain is deformed by up to 20 mm after the skull is opened during neurosurgery, which could lead to…”
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    Journal Article
  3. 3

    Longitudinal regional brain volume changes quantified in normal aging and Alzheimer's APPxPS1 mice using MRI by Maheswaran, S, Barjat, H, Rueckert, D, Bate, ST, Howlett, DR, Tilling, L, Smart, S C, Pohlmann, A, Richardson, J C, Hartkens, T, Hill, DLG, Upton, N, Hajnal, J V, James, M F

    Published in Brain research (13-05-2009)
    “…In humans, mutations of amyloid precursor protein (APP) and presenilins (PS) 1 and 2 are associated with amyloid deposition, brain structural change and…”
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    Journal Article
  4. 4

    Evaluation of 3D Operators for the Detection of Anatomical Point Landmarks in MR and CT Images by Hartkens, Thomas, Rohr, Karl, Stiehl, H.Siegfried

    Published in Computer vision and image understanding (01-05-2002)
    “…Point-based registration of images strongly depends on the extraction of suitable landmarks. Recently, different 3D operators have been proposed in the…”
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    Journal Article
  5. 5
  6. 6

    Deformation based morphmetry and atlas based label segmentation: Application to serial mouse brain images by Maheswaran, S., Barjat, H., Bate, S.T., Hartkens, T., Hill, D.L.G., Tilling, L., Upton, N., James, M.F., Hajna, J.V., Rueckert, D.

    “…The aim of this paper is to investigate techniques that can identify and quantify longitudinal changes in vivo from magnetic resonance (MR) images of murine…”
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    Conference Proceeding