Title
Intersection based registration of slice stacks to form 3D images of the human fetal brain
Abstract
Clinical fetal MR imaging of the brain commonly makes use of fast 2D acquisitions of multiple sets of approximately orthogonal 2D slices. We and others have previously proposed an iterative slice-to-volume registration process to recover a geometrically consistent 3D image. However, these approaches depend on a 3D volume reconstruction step during the slice alignment. This is both computationally expensive and makes the convergence of the registration process poorly defined. In this paper our key contribution is a new approach which considers the collective alignment of all slices directly, via shared structure in their intersections, rather than to an estimated 3D volume. We derive an analytical expression for the gradient of the collective similarity of the slices along their intersections, with respect to the 3D location and orientation of each 2D slice. We include examples of the approach applied to simulated data and clinically acquired fetal images.
Year
DOI
Venue
2008
10.1109/ISBI.2008.4541209
ISBI
Keywords
Field
DocType
fetal brain,3d images,3d orientation,neurophysiology,collective slice alignment,3d location,analytical expression,slice stacks,image registration,orthogonal 2d slices,obstetrics,human fetal brain,biomedical mri,magnetic resonanace imaging,3d reconstruction,intersection-based registration,brain,motion compensation,medical image processing,clinical fetal mr imaging,brain imaging,3d imaging
Convergence (routing),Computer vision,Neurophysiology,Stack (abstract data type),Pattern recognition,Computer science,Motion compensation,Artificial intelligence,Volume reconstruction,Image registration,3D reconstruction,3d image
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-4244-2003-2
7
PageRank 
References 
Authors
0.76
3
7
Name
Order
Citations
PageRank
Kio Kim112210.22
Mads Hansen270.76
Piotr A. Habas342922.70
François Rousseau434622.15
Orit A. Glenn51249.68
A. James Barkovich611713.20
Colin Studholme71824241.10