Abstract
The general approach to spatial normalization using a deformation field is presented. Current high degree-of-freedom deformation methods are extremely time-consuming (10-40 hr), and a k-tree method is proposed to greatly reduce this time. A general k-tree method for analysis of source and target images and synthesis of deformation fields is described. The k-tree method simplifies scale control and feature extraction and matching, making it highly efficient. A two-dimensional (2-D), or quadtree, application program was developed for preliminary testing. The k-tree method was evaluated with 2-D images to test rotating ability, nonhomologous region matching, inner and outer brain-structure independence, and feasibility with human brain images. The results of these tests indicate that a three- dimensional (3-D), or octree, method is feasible. Preliminary work with an octree application program indicates that a processing time of under 10 min for 2563 image arrays is attainable on a Sun Ultra30 workstation.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 358-363 |
| Number of pages | 6 |
| Journal | Human Brain Mapping |
| Volume | 6 |
| Issue number | 5-6 |
| DOIs | |
| State | Published - 1998 |
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Keywords
- k-Tree
- Octree
- Quadtree
- Spatial normalization
ASJC Scopus subject areas
- Clinical Neurology
- Neuroscience(all)
- Radiological and Ultrasound Technology
Cite this
k-Tree method for high-speed spatial normalization. / Lancaster, Jack L; Kochunov, Peter V.; Fox, Peter T; Nickerson, Daniel.
In: Human Brain Mapping, Vol. 6, No. 5-6, 1998, p. 358-363.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - k-Tree method for high-speed spatial normalization
AU - Lancaster, Jack L
AU - Kochunov, Peter V.
AU - Fox, Peter T
AU - Nickerson, Daniel
PY - 1998
Y1 - 1998
N2 - The general approach to spatial normalization using a deformation field is presented. Current high degree-of-freedom deformation methods are extremely time-consuming (10-40 hr), and a k-tree method is proposed to greatly reduce this time. A general k-tree method for analysis of source and target images and synthesis of deformation fields is described. The k-tree method simplifies scale control and feature extraction and matching, making it highly efficient. A two-dimensional (2-D), or quadtree, application program was developed for preliminary testing. The k-tree method was evaluated with 2-D images to test rotating ability, nonhomologous region matching, inner and outer brain-structure independence, and feasibility with human brain images. The results of these tests indicate that a three- dimensional (3-D), or octree, method is feasible. Preliminary work with an octree application program indicates that a processing time of under 10 min for 2563 image arrays is attainable on a Sun Ultra30 workstation.
AB - The general approach to spatial normalization using a deformation field is presented. Current high degree-of-freedom deformation methods are extremely time-consuming (10-40 hr), and a k-tree method is proposed to greatly reduce this time. A general k-tree method for analysis of source and target images and synthesis of deformation fields is described. The k-tree method simplifies scale control and feature extraction and matching, making it highly efficient. A two-dimensional (2-D), or quadtree, application program was developed for preliminary testing. The k-tree method was evaluated with 2-D images to test rotating ability, nonhomologous region matching, inner and outer brain-structure independence, and feasibility with human brain images. The results of these tests indicate that a three- dimensional (3-D), or octree, method is feasible. Preliminary work with an octree application program indicates that a processing time of under 10 min for 2563 image arrays is attainable on a Sun Ultra30 workstation.
KW - k-Tree
KW - Octree
KW - Quadtree
KW - Spatial normalization
UR - http://www.scopus.com/inward/record.url?scp=0031659040&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0031659040&partnerID=8YFLogxK
U2 - 10.1002/(SICI)1097-0193(1998)6:5/6<358::AID-HBM5>3.0.CO;2-L
DO - 10.1002/(SICI)1097-0193(1998)6:5/6<358::AID-HBM5>3.0.CO;2-L
M3 - Article
C2 - 9788072
AN - SCOPUS:0031659040
VL - 6
SP - 358
EP - 363
JO - Human Brain Mapping
JF - Human Brain Mapping
SN - 1065-9471
IS - 5-6
ER -