Pierrick Bourgeat

Summary

Country: Australia

Publications

  1. ncbi The use of unwrapped phase in MR image segmentation: a preliminary study
    Pierrick Bourgeat
    Autonomous Sytems Laboratory, BioMedIA Lab, CSIRO ICT Centre, Australia
    Med Image Comput Comput Assist Interv 8:813-20. 2005
  2. ncbi MR image segmentation using phase information and a novel multiscale scheme
    Pierrick Bourgeat
    BioMedIA Lab, Autonomous Systems Laboratory, CSIRO ICT Centre, Sydney, Australia
    Med Image Comput Comput Assist Interv 9:920-7. 2006
  3. ncbi MR image segmentation of the knee bone using phase information
    Pierrick Bourgeat
    BioMedIA Lab, e Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Anal 11:325-35. 2007
  4. ncbi Beta-amyloid burden in the temporal neocortex is related to hippocampal atrophy in elderly subjects without dementia
    P Bourgeat
    CSIRO Preventative Health National Research Flagship ICTC, The Australian e Health Research Centre BioMedIA, Royal Brisbane and Women s Hospital, Herston, Queensland, Australia
    Neurology 74:121-7. 2010
  5. ncbi MR-less high dimensional spatial normalization of 11C PiB PET images on a population of elderly, mild cognitive impaired and Alzheimer disease patients
    Jurgen Fripp
    Australian E Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Comput Comput Assist Interv 11:442-9. 2008
  6. ncbi Appearance modeling of 11C PiB PET images: characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging
    Jurgen Fripp
    Australian e Health Research Center, CSIRO ICT Centre, Brisbane, Australia
    Neuroimage 43:430-9. 2008
  7. ncbi Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease
    Oscar Acosta
    CSIRO Preventative Health National Research Flagship, ICTC, The Australian e Health Research Centre BioMedIA, Herston, Australia
    J Neurosci Methods 205:96-109. 2012
  8. ncbi Automatic delineation of sulci and improved partial volume classification for accurate 3D voxel-based cortical thickness estimation from MR
    Oscar Acosta
    The Australian e Health Research Centre, ICTC CSIRO, Brisbane, QLD, Australia
    Med Image Comput Comput Assist Interv 11:253-61. 2008
  9. ncbi Automated (11)C-PiB standardized uptake value ratio
    Parnesh Raniga
    CSIRO Preventative Health National Research Flagshift ICTC, The Australian e Health Research Centre BioMedIA, Royal Brisbane and Women s Hospital, Herston, QLD, Australia
    Acad Radiol 15:1376-89. 2008
  10. ncbi Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models
    Kai Kai Shen
    Australian E Health Research Centre, CSIRO ICT Centre, Herston, Queensland, Australia
    Neuroimage 59:2155-66. 2012

Detail Information

Publications17

  1. ncbi The use of unwrapped phase in MR image segmentation: a preliminary study
    Pierrick Bourgeat
    Autonomous Sytems Laboratory, BioMedIA Lab, CSIRO ICT Centre, Australia
    Med Image Comput Comput Assist Interv 8:813-20. 2005
    ..The textural information extracted from the magnitude and the phase can be combined to perform tissue classification, and used to initialise an active shape model, leading to a more precise segmentation...
  2. ncbi MR image segmentation using phase information and a novel multiscale scheme
    Pierrick Bourgeat
    BioMedIA Lab, Autonomous Systems Laboratory, CSIRO ICT Centre, Sydney, Australia
    Med Image Comput Comput Assist Interv 9:920-7. 2006
    ..This algorithm dramatically increases the speed of the segmentation process by an order of magnitude through a reduction of the number of pixels that needs to be classified in the image...
  3. ncbi MR image segmentation of the knee bone using phase information
    Pierrick Bourgeat
    BioMedIA Lab, e Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Anal 11:325-35. 2007
    ..An order of magnitude increase is obtained, by reducing the number of pixels that need to be classified...
  4. ncbi Beta-amyloid burden in the temporal neocortex is related to hippocampal atrophy in elderly subjects without dementia
    P Bourgeat
    CSIRO Preventative Health National Research Flagship ICTC, The Australian e Health Research Centre BioMedIA, Royal Brisbane and Women s Hospital, Herston, Queensland, Australia
    Neurology 74:121-7. 2010
    ....
  5. ncbi MR-less high dimensional spatial normalization of 11C PiB PET images on a population of elderly, mild cognitive impaired and Alzheimer disease patients
    Jurgen Fripp
    Australian E Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Comput Comput Assist Interv 11:442-9. 2008
    ..The R-squared correlation between the uptake obtained in the frontal, parietal, occipital and temporal was 0.789, 0.843, 0.871 and 0.964. These are very promising results, considering the low resolution of 11C PiB PET images...
  6. ncbi Appearance modeling of 11C PiB PET images: characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging
    Jurgen Fripp
    Australian e Health Research Center, CSIRO ICT Centre, Brisbane, Australia
    Neuroimage 43:430-9. 2008
    ....
  7. ncbi Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease
    Oscar Acosta
    CSIRO Preventative Health National Research Flagship, ICTC, The Australian e Health Research Centre BioMedIA, Herston, Australia
    J Neurosci Methods 205:96-109. 2012
    ..We demonstrated the validity of the method for use in clinical studies which provides an alternative to well established techniques to compare different imaging biomarkers for the study of neurodegenerative diseases...
  8. ncbi Automatic delineation of sulci and improved partial volume classification for accurate 3D voxel-based cortical thickness estimation from MR
    Oscar Acosta
    The Australian e Health Research Centre, ICTC CSIRO, Brisbane, QLD, Australia
    Med Image Comput Comput Assist Interv 11:253-61. 2008
    ..9). A quantitative analysis on clinical data from an Alzheimer's disease study showed significant differences between normal controls and Alzheimer's disease patients...
  9. ncbi Automated (11)C-PiB standardized uptake value ratio
    Parnesh Raniga
    CSIRO Preventative Health National Research Flagshift ICTC, The Australian e Health Research Centre BioMedIA, Royal Brisbane and Women s Hospital, Herston, QLD, Australia
    Acad Radiol 15:1376-89. 2008
    ..However, SUVR is still conducted manually and is time consuming. An automated normalization algorithm is proposed...
  10. ncbi Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models
    Kai Kai Shen
    Australian E Health Research Centre, CSIRO ICT Centre, Herston, Queensland, Australia
    Neuroimage 59:2155-66. 2012
    ....
  11. ncbi Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps
    Oscar Acosta
    The Australian e Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Anal 13:730-43. 2009
    ..Overall, with our method the number of samples is reduced by 25% to find significant differences between the two groups...
  12. ncbi Spline based inhomogeneity correction for 11C-PIB PET segmentation using expectation maximization
    Parnesh Raniga
    BioMedIA Lab, e Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Comput Comput Assist Interv 10:228-35. 2007
    ..We compare our inhomogeneity with a global polynomial correction technique and validate our approach using co-registered MRI segmentations...
  13. ncbi Topology-corrected segmentation and local intensity estimates for improved partial volume classification of brain cortex in MRI
    Andrea Rueda
    CSIRO Preventative Health National Research Flagship, ICTC, The Australian e Health Research Centre BioMedIA, Herston, Australia
    J Neurosci Methods 188:305-15. 2010
    ..0% (p<0.001). Thickness estimation with the proposed method showed a higher reproducibility compared with the measure performed after partial volume classification using other methods...
  14. ncbi Constrained reverse diffusion for thick slice interpolation of 3D volumetric MRI images
    Aleš Neubert
    CSIRO ICT Centre, The Australian e Health Research Centre, Brisbane, Australia
    Comput Med Imaging Graph 36:130-8. 2012
    ..The constrained reverse diffusion approach delivered promising results and provides an alternative for thick slice interpolation, especially for higher anisotropy factors...
  15. ncbi An improved 3D shape context based non-rigid registration method and its application to small animal skeletons registration
    Di Xiao
    CSIRO ICT, The Australian e Health Research Center, Brisbane, QLD, Australia
    Comput Med Imaging Graph 34:321-32. 2010
    ..Errors between the registered surfaces were reduced by using the proposed method. The robustness of the method is demonstrated...
  16. ncbi Segmentation of the bones in MRIs of the knee using phase, magnitude, and shape information
    Jurgen Fripp
    BioMedIA Lab, eHealth Research Centre, CSIRO ICT Centre, 300 Adelaide street, Brisbane, QLD, 4001, Australia
    Acad Radiol 14:1201-8. 2007
    ..Moreover, we show that by incorporating shape information, more accurate and anatomically valid segmentations are obtained...
  17. ncbi Diagnostic value of 8.5 T magnetic resonance spectroscopy of benign and malignant skin lesion biopsies
    Pascale Guitera
    Sydney Melanoma Unit, Sydney Cancer Centre, Royal Prince Alfred Hospital, Sydney, NSW, Australia
    Melanoma Res 20:311-7. 2010
    ....