Groupwise combined segmentation and registration for atlas construction

  • Authors:
  • Kanwal K. Bhatia;Paul Aljabar;James P. Boardman;Latha Srinivasan;Maria Murgasova;Serena J. Counsell;Mary A. Rutherford;Jo Hajnal;A. David Edwards;Daniel Rueckert

  • Affiliations:
  • Visual Information Processing, Department of Computing, Imperial College London;Visual Information Processing, Department of Computing, Imperial College London;Department of Pediatrics, Faculty of Medicine, Hammersmith Hospital;Department of Pediatrics, Faculty of Medicine, Hammersmith Hospital;Visual Information Processing, Department of Computing, Imperial College London;Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London;Department of Pediatrics, Faculty of Medicine, Hammersmith Hospital and Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London;Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London;Department of Pediatrics, Faculty of Medicine, Hammersmith Hospital;Visual Information Processing, Department of Computing, Imperial College London

  • Venue:
  • MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
  • Year:
  • 2007

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Abstract

The creation of average anatomical atlases has been a growing area of research in recent years. It is of increased value to construct representations of, not only intensity atlases, but also their segmentation into required tissues or structures. This paper presents novel groupwise combined segmentation and registration approaches, which aim to simultaneously improve both the alignment of intensity images to their average shape, as well as the segmentations of structures in the average space. An iterative EM framework is used to build average 3D MR atlases of populations for which prior atlases do not currently exist: preterm infants at one- and two-years old. These have been used to quantify the growth of tissues occurring between these ages.