Not signed in
197 tools registered

Search results


This tool is supported wholly or in part by The Human Brain Project.

There are no user reviews for this tool.

Review this tool.

Name
AIR 5.0 (Automated Image Registration)
Byline
Description
AIR allows automated registration of 3D (and 2D) images within and across subjects and within and sometimes across imaging modalities.
NIfTI-1 support
Creator
Roger P. Woods, M.D., UCLA
Contact
Roger P. Woods, M.D.(rwoods@ucla.edu)
WWW
http://bishopw.loni.ucla.edu/AIR5
Availability
Available as source code to the research community free of charge
How to get
Download source code from the web site listed above
Current version
Current version release date
Open source
No
License
Available free of charge
Yes
Requirements
AIR source code written in C is available to the research community free of charge. The code can be compiled for UNIX, PC or Macintosh platforms. Only source code is available (no executables).
Technical publications

Woods RP, Cherry SR, Mazziotta JC. Rapid automated algorithm for aligning and reslicing PET images. Journal of Computer Assisted Tomography 1992;16:620-633.

Woods RP, Mazziotta JC, Cherry SR. MRI-PET registration with automated algorithm. Journal of Computer Assisted Tomography 1993;17:536-546.

Woods RP, Grafton ST, Holmes CJ, Cherry SR, Mazziotta JC. Automated image registration: I. General methods and intrasubject, intramodality validation. Journal of Computer Assisted Tomography 1998;22:141-154.

Woods RP, Grafton ST, Watson JDG, Sicotte NL, Mazziotta JC. Automated image registration: II. Intersubject validation of linear and nonlinear models. Journal of Computer Assisted Tomography 1998;22:155-165.

Applications publications

Strother SC, Anderson JR, Xu XL, Liow JS, Bonar DC, Rottenberg, DA. Quantitative comparisons of image registration techniques based on high-resolution MRI of the brain. Journal of Computer Assisted Tomography 1994;18:954-62.

Jiang AP, Kennedy DN, Baker JR, Weisskoff R, Tootell RBH, Woods RP, Benson RR, Kwong KK, Brady TJ, Rosen BR, Belliveau JW. Motion detection and correction in functional MR imaging. Human Brain Mapping 1995;3:224-235.

Black KJ, Videen TO, Perlmutter JS. A metric for testing the accuracy of cross-modality image registration: Validation and application.Journal of Computer Assisted Tomography 1996;20:855-861.

West J, Fitzpatrick JM, Wang MY, Dawant BM, Maurer CR, Kessler RM, Maciunas RJ, Barillot C, Lemoine D. Collignon A, Maes F, Suetens P, Vandermeulen D, van den Elsen P, Napel S, Sumanaweera TS, Harkness B, Hemler PF, Hill DLG, Hawkes DJ, Studholme C, Maintz JBA, Viergever MA, Malandain G, Pennec X, Noz ME, Maguire GQ, Pollack M, Pelizzari CA, Robb RA, Hanson D, Woods RP. Comparison and evaluation of retrospective intermodality brain image registration techniques. Journal of Computer Assisted Tomography 1997;21:554-566.

Imran MB, Kawashima R, Sat K, Kinomura S, Ito H, Koyama M, Goto R, Ono S, Yoshioka S, Fukuda H. Mean regional cerebral blood flow images of normal subjects using technetium-99m-HMPAO by automated image registration. Journal of Nuclear Medicine 1998;39:203-207.

Other information
None.
Keywords
CCB (NCBC), HBP supported, registration, warping
Platforms
HPUX, IRIX, Linux, MacOS, SunOS, UNIX, Windows
IATR listing last updated
27 Mar 2002