Particle-guided Image Registration
Supporting Files
-
2013
-
File Language:
English
Details
-
Alternative Title:Med Image Comput Comput Assist Interv
-
Personal Author:
-
Description:We present a novel image registration method based on B-spline free-form deformation that simultaneously optimizes particle correspondence and image similarity metrics. Different from previous B-spline based registration methods optimized w.r.t. the control points, the deformation in our method is estimated from a set of dense unstructured pair of points, which we refer as corresponding particles. As intensity values are matched on the corresponding location, the registration performance is iteratively improved. Moreover, the use of corresponding particles naturally extends our method to a group-wise registration by computing a mean of particles. Motivated by a surface-based group-wise particle correspondence method, we developed a novel system that takes such particles to the image domain, while keeping the spirit of the method similar. The core algorithm both minimizes an entropy based group-wise correspondence metric as well as maximizes the space sampling of the particles. We demonstrate the results of our method in an application of rodent brain structure segmentation and show that our method provides better accuracy in two structures compared to other registration methods.
-
Subjects:
-
Source:Med Image Comput Comput Assist Interv. 16(0 3):203-210
-
Pubmed ID:24505762
-
Pubmed Central ID:PMC3974564
-
Document Type:
-
Funding:R01 AA006059/AA/NIAAA NIH HHSUnited States/ ; R41 NS059095/NS/NINDS NIH HHSUnited States/ ; U54 sEB005149/SE/SEPDPO CDC HHSUnited States/ ; P30 HD003110/HD/NICHD NIH HHSUnited States/ ; U24 AA020024/AA/NIAAA NIH HHSUnited States/ ; U01 AA020023/AA/NIAAA NIH HHSUnited States/ ; U01 AA020022/AA/NIAAA NIH HHSUnited States/ ; A020023/PHS HHSUnited States/ ; AA06059/AA/NIAAA NIH HHSUnited States/ ; R42 NS059095/NS/NINDS NIH HHSUnited States/ ; U01 AA019969/AA/NIAAA NIH HHSUnited States/ ; A020024/PHS HHSUnited States/ ; AA019969/AA/NIAAA NIH HHSUnited States/ ; U24 AA020022/AA/NIAAA NIH HHSUnited States/ ; P01 DA022446/DA/NIDA NIH HHSUnited States/ ; U54 EB005149/EB/NIBIB NIH HHSUnited States/ ; P30 HD03110/HD/NICHD NIH HHSUnited States/
-
Volume:16
-
Collection(s):
-
Main Document Checksum:urn:sha256:90fecfa3bd69a76d7949323c26c906e29fb26c0e982f31e30823623c54193aa4
-
Download URL:
-
File Type:
Supporting Files
File Language:
English
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like
COLLECTION
CDC Public Access