Search Results - "Ansorge, Richard E."

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  1. 1

    Attenuation correction methods suitable for brain imaging with a PET/MRI scanner: a comparison of tissue atlas and template attenuation map approaches by Malone, Ian B, Ansorge, Richard E, Williams, Guy B, Nestor, Peter J, Carpenter, T Adrian, Fryer, Tim D

    Published in Journal of Nuclear Medicine (01-07-2011)
    “…Modeled attenuation correction (AC) will be necessary for combined PET/MRI scanners not equipped with transmission scanning hardware. We compared 2 modeled AC…”
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    Journal Article
  2. 2

    A New Fast Accurate Nonlinear Medical Image Registration Program Including Surface Preserving Regularization by Gruslys, Audrunas, Acosta-Cabronero, Julio, Nestor, Peter J., Williams, Guy B., Ansorge, Richard E.

    Published in IEEE transactions on medical imaging (01-11-2014)
    “…Recently inexpensive graphical processing units (GPUs) have become established as a viable alternative to traditional CPUs for many medical image processing…”
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    Journal Article
  3. 3

    Direct Evaluation of MR-Derived Attenuation Correction Maps for PET/MR of the Mouse Myocardium by Evans, Eleanor, Buonincontri, Guido, Hawkes, Rob C., Ansorge, Richard E., Carpenter, T. Adrian, Sawiak, Stephen J.

    Published in IEEE transactions on nuclear science (01-02-2016)
    “…Attenuation correction (AC) must be applied to provide accurate measurements of PET tracer activity concentrations. Due to the limited space available in…”
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    Journal Article
  4. 4

    Quantitative phenomenological model of the BOLD contrast mechanism by Dickson, John D., Ash, Tom W.J., Williams, Guy B., Sukstanskii, Alexander L., Ansorge, Richard E., Yablonskiy, Dmitriy A.

    Published in Journal of magnetic resonance (1997) (01-09-2011)
    “…[Display omitted] ► BOLD models are used for quantitative BOLD and vessel size imaging. ► Existing models approximate water diffusion in the presence of a…”
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    Journal Article
  5. 5

    Combining MRI With PET for Partial Volume Correction Improves Image-Derived Input Functions in Mice by Evans, Eleanor, Buonincontri, Guido, Izquierdo, David, Methner, Carmen, Hawkes, Rob C., Ansorge, Richard E., Krieg, Thomas, Carpenter, T. Adrian, Sawiak, Stephen J.

    Published in IEEE transactions on nuclear science (01-06-2015)
    “…Accurate kinetic modelling using dynamic PET requires knowledge of the tracer concentration in plasma, known as the arterial input function (AIF). AIFs are…”
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    Journal Article
  6. 6

    Quantitative BOLD: The effect of diffusion by Dickson, John D., Ash, Tom W.J., Williams, Guy B., Harding, Sally G., Carpenter, T. Adrian, Menon, David K., Ansorge, Richard E.

    Published in Journal of magnetic resonance imaging (01-10-2010)
    “…Purpose: To make the quantitative blood oxygenation level‐dependent (qBOLD) method more suitable for clinical application by accounting for proton diffusion…”
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    Journal Article
  7. 7

    Monte Carlo simulation and scatter correction of the GE advance PET scanner with SimSET and Geant4 by Barret, Olivier, Carpenter, T Adrian, Clark, John C, Ansorge, Richard E, Fryer, Tim D

    Published in Physics in medicine & biology (21-10-2005)
    “…For Monte Carlo simulations to be used as an alternative solution to perform scatter correction, accurate modelling of the scanner as well as speed is…”
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    Journal Article
  8. 8

    Gaussian process modeling for image distortion correction in echo planar imaging by Stevick, Joseph W., Harding, Sally G., Paquet, Ulrich, Ansorge, Richard E., Carpenter, T. Adrian, Williams, Guy B.

    Published in Magnetic resonance in medicine (01-03-2008)
    “…An enhanced method for correction of image distortion due to B0‐field inhomogeneities in echo planar imaging (EPI) is presented. The algorithm is based on the…”
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    Journal Article
  9. 9

    Application of a probabilistic double-fibre structure model to diffusion-weighted MR images of the human brain by Hosey, Tim P, Harding, Sally G, Carpenter, T. Adrian, Ansorge, Richard E, Williams, Guy B

    Published in Magnetic resonance imaging (01-02-2008)
    “…Abstract A Markov chain Monte Carlo (MCMC) algorithm has been reported which is capable of determining the probabilistic orientation of two-fibre populations…”
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    Journal Article
  10. 10

    Genetic algorithms for MRI magnet design by Shaw, N.R., Ansorge, R.E.

    “…Continuing advances in the field of parallel computing have allowed nonlinear optimization techniques to be applied to many problems previously considered too…”
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    Journal Article Conference Proceeding
  11. 11

    A Locally Adaptive Registration Technique for High Precision Registration of 3-D MRI Data by Coley, Mark D., Ansorge, Richard E., Hall, Laurance D., Carpenter, T.Adrian

    Published in NeuroImage (Orlando, Fla.) (01-11-2000)
    “…This study demonstrates how the rigid body registration parameters for good registration of serially acquired 3-D magnetic resonance images vary systematically…”
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    Journal Article
  12. 12
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  14. 14

    Exceptionally fast non-linear 3D image registration using GPUs by Ansorge, Richard E., Sawiak, Steve J., Williams, Guy B.

    “…We have developed code to test the potential of GPUs for speeding up typical 3D Medical Image registration tasks. We have used NVIDIA's CUDA programming…”
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    Conference Proceeding
  15. 15

    A fast surface-aware 3D non-linear image registration algorithm implemented on a GPU by Gruslys, Audrunas, Sawiak, Stephen S., Acosta-Cabronero, Julio, Ansorge, Richard E.

    “…A novel regularization algorithm has been implemented in our previously described image registration program Ezys. The performance of the CPU enabled package…”
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    Conference Proceeding
  16. 16

    Radiofrequency coil design for simultaneous PET/MR systems by Herrick, P D E, Ansorge, R E, Hawkes, R C, Sawiak, S J, Stevick, J W, Carpenter, T A

    “…Simultaneous positron emission tomography (PET) and magnetic resonance imaging (MRI) can provide both functional and structural information about disease…”
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    Conference Proceeding
  17. 17

    Exceptionally fast non-linear 3D image registration using GPUs by Ansorge, R.E., Sawiak, S.J., Williams, G.B.

    “…We have developed code to test the potential of GPUs for speeding up typical 3D Medical Image registration tasks. We have used NVIDIA's CUDA programming…”
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    Conference Proceeding
  18. 18

    Development of a combined microPET®-MR system by Lucas, A.J., Hawkes, R.C., Guerra, P., Ansorge, R.E., Nutt, R.E., Clark, J.C., Fryer, T.D., Carpenter, T.A.

    “…Features of a positron emission tomography-magnetic resonance (PET-MR) system in which a novel, superconducting magnet with a 'split' is combined with a…”
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    Conference Proceeding
  19. 19

    Very high resolution 3D list-mode PET reconstruction using polar voxels by Ansorge, Richard E., Carpenter, T. Adrian, Clark, John. C., Fryer, Tim. D., Hawkes, Rob. C., Lucas, Alun. J.

    “…We present EM reconstructions using polar voxels and real data from a modified microPET Focus 120 small animal PET scanner. The reconstruction is based on a…”
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    Conference Proceeding
  20. 20

    Initial Performance Assessment of a Combined microPET® Focus-F120 and MR Split Magnet System by Hawkes, Rob C., Fryer, Tim D., Lucas, Alun J., Siegel, Stefan B., Ansorge, Richard E., Clark, John C., Carpenter, T. Adrian

    “…This work is an initial evaluation of the performance of a microPET Focus-Fl20 system modified to fit in the split in a 1 Tesla MR imaging system to create a…”
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    Conference Proceeding