DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR.
Int J Comput Assist Radiol Surg
; 18(2): 367-377, 2023 Feb.
Article
en En
| MEDLINE
| ID: mdl-36173541
ABSTRACT
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 .Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Aumento de la Imagen
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Int J Comput Assist Radiol Surg
Asunto de la revista:
RADIOLOGIA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Canadá