Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Image registration
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
=== Transformations of coordinates via the law of function composition rather than addition === Alternatively, many advanced methods for spatial normalization are building on structure preserving transformations [[homeomorphism]]s and [[diffeomorphism]]s since they carry smooth submanifolds smoothly during transformation. Diffeomorphisms are generated in the modern field of [[Computational anatomy|Computational Anatomy]] based on flows since diffeomorphisms are not additive although they form a group, but a group under the law of function composition. For this reason, flows which generalize the ideas of additive groups allow for generating large deformations that preserve topology, providing 1-1 and onto transformations. Computational methods for generating such transformation are often called [[Large deformation diffeomorphic metric mapping|LDDMM]]<ref>{{Cite book|url=https://books.google.com/books?id=8WdlWJepgWMC|title=Brain Warping|last=Toga|first=Arthur W.|date=1998-11-17|publisher=Academic Press|isbn=9780080525549|language=en}}</ref><ref>{{Cite web|url=https://utah.pure.elsevier.com/en/publications/landmark-matching-on-brain-surfaces-via-large-deformation-diffeom-2|title=Landmark matching on brain surfaces via large deformation diffeomorphisms on the sphere β University of Utah|website=utah.pure.elsevier.com|access-date=2016-03-21|archive-url=https://web.archive.org/web/20180629235930/https://utah.pure.elsevier.com/en/publications/landmark-matching-on-brain-surfaces-via-large-deformation-diffeom-2|archive-date=2018-06-29|url-status=dead}}</ref><ref>{{Cite journal|url=https://www.researchgate.net/publication/220660081|title=Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms|journal=International Journal of Computer Vision|volume=61|issue=2|pages=139β157|doi=10.1023/B:VISI.0000043755.93987.aa|access-date=2016-03-21|year=2005|last1=Beg|first1=M. Faisal|last2=Miller|first2=Michael I.|last3=TrouvΓ©|first3=Alain|last4=Younes|first4=Laurent|s2cid=17772076}}</ref><ref>{{Cite journal|last1=Joshi|first1=S. C.|last2=Miller|first2=M. I.|date=2000-01-01|title=Landmark matching via large deformation diffeomorphisms|journal=IEEE Transactions on Image Processing|volume=9|issue=8|pages=1357β1370|doi=10.1109/83.855431|issn=1057-7149|pmid=18262973|bibcode=2000ITIP....9.1357J}}</ref> which provide flows of diffeomorphisms as the main computational tool for connecting coordinate systems corresponding to [[Computational anatomy#The metric on geodesic flows of landmarks, surfaces, and volumes within the orbit|the geodesic flows of Computational Anatomy]]. There are a number of programs which generate diffeomorphic transformations of coordinates via [[Diffeomorphic Mapping in Computational Anatomy|diffeomorphic mapping]] including MRI Studio<ref>{{Cite web|url=https://www.mristudio.org|title=MRI Studio}}</ref> and MRI Cloud.org<ref>{{Cite web|url=https://mricloud.org/|title=MRICloud Brain Mapping}}</ref>
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)