Keyword search (4,163 papers available)

"RaPTOR" Keyword-tagged Publications:

Title Authors PubMed ID
1 DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR Masoumi N; Rivaz H; Ahmad MO; Xiao Y; 36173541
ENCS

 

Title:DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR
Authors:Masoumi NRivaz HAhmad MOXiao Y
Link:https://pubmed.ncbi.nlm.nih.gov/36173541/
DOI:10.1007/s11548-022-02749-2
Publication:International journal of computer assisted radiology and surgery
Keywords:DiffeomorphismGeodesic shootingImage registrationInter-modalRaPTORSyN
PMID:36173541 Category: Date Added:2022-09-29
Dept Affiliation: ENCS
1 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada. n_masoum@encs.concordia.ca.
2 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada.
3 Department of Computer Science and Software Engineering, Concordia University, Montreal, Quebec, Canada.

Description:

Purpose: Diffeomorphic image registration is essential in many medical imaging applications. Several registration algorithms of such type have been proposed, but primarily for intra-contrast alignment. Currently, efficient inter-modal/contrast diffeomorphic registration, which is vital in numerous applications, remains a challenging task.

Methods: We proposed a novel inter-modal/contrast registration algorithm that leverages Robust PaTch-based cOrrelation Ratio metric to allow inter-modal/contrast image alignment and bandlimited geodesic shooting demonstrated in Fourier-Approximated Lie Algebras (FLASH) algorithm for fast diffeomorphic registration.

Results: The proposed algorithm, named DiffeoRaptor, was validated with three public databases for the tasks of brain and abdominal image registration while comparing the results against three state-of-the-art techniques, including FLASH, NiftyReg, and Symmetric image Normalization (SyN).

Conclusions: Our results demonstrated that DiffeoRaptor offered comparable or better registration performance in terms of registration accuracy. Moreover, DiffeoRaptor produces smoother deformations than SyN in inter-modal and contrast registration. The code for DiffeoRaptor is publicly available at https://github.com/nimamasoumi/DiffeoRaptor .





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University