Image registration method for medical image sequences
Abstract
Image registration of low contrast image sequences is provided. In one aspect, a desired region of an image is automatically segmented and only the desired region is registered. Active contours and adaptive thresholding of intensity or edge information may be used to segment the desired regions. A transform function is defined to register the segmented region, and sub-pixel information may be determined using one or more interpolation methods.
- Inventors:
- Issue Date:
- Research Org.:
- ORO (Oak Ridge Office, Oak Ridge, TN (United States))
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1082954
- Patent Number(s):
- 8406491
- Application Number:
- 12/117,478
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES
Citation Formats
Gee, Timothy F., and Goddard, James S. Image registration method for medical image sequences. United States: N. p., 2013.
Web.
Gee, Timothy F., & Goddard, James S. Image registration method for medical image sequences. United States.
Gee, Timothy F., and Goddard, James S. Tue .
"Image registration method for medical image sequences". United States. https://www.osti.gov/servlets/purl/1082954.
@article{osti_1082954,
title = {Image registration method for medical image sequences},
author = {Gee, Timothy F. and Goddard, James S.},
abstractNote = {Image registration of low contrast image sequences is provided. In one aspect, a desired region of an image is automatically segmented and only the desired region is registered. Active contours and adaptive thresholding of intensity or edge information may be used to segment the desired regions. A transform function is defined to register the segmented region, and sub-pixel information may be determined using one or more interpolation methods.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 26 00:00:00 EDT 2013},
month = {Tue Mar 26 00:00:00 EDT 2013}
}
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