Nonrigid medical image registration using adaptive gradient optimizer
Joint Authors
Abu Arab, Muhammad A. R.
Al-Khubbi, Hibah Ali
Ashur, Amirah S.
Source
Journal of Engineering Research
Issue
Vol. 5, Issue 2 (30 Jun. 2021), pp.10-17, 8 p.
Publisher
Tanta University Faculty of Engineering
Publication Date
2021-06-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Topics
Abstract EN
Medical image registration has a significant role in several applications.
It has sequential processes, including transformation, similarity metric calculation, diffusion regularization, and optimization of the transformation parameters (i.
e.
, rotation, translation, and shear).
The optimization process for determining the optimal set of the transformation vectors is considered the main stage affecting the performance of the registration process.
Hence, medical image registration can be deliberated as an optimization problem for computing the geometric transformations to realize maximum similarity between the moving image and the fixed one.
In this work, a mono-modal nonrigid image registration using B-spline is designed for the alignment of Computed Tomography (CT) images of thorax using Adaptive Gradient algorithm (AdaGrad) optimizer.
In addition, a comparative study with other first order optimizers, such as Stochastic Gradient Descent (SGD), Adaptive Moment Estimation (Adam) algorithm (AdaMaX), AdamP, and RangerQH were conducted.
Also, a comparison with the limited memory Broyden-Fletcher-Goldfarb-Shannon (LBFGS) as a second order optimizer was also carried out.
The results showed the superiority of the AdaGrad optimizer by 56.99% and 48.37% improvement in the compared to the target registration error (TRE) compared to the SGD, and the LBFGS optimizer, respectively.
American Psychological Association (APA)
Abu Arab, Muhammad A. R.& Al-Khubbi, Hibah Ali& Ashur, Amirah S.. 2021. Nonrigid medical image registration using adaptive gradient optimizer. Journal of Engineering Research،Vol. 5, no. 2, pp.10-17.
https://search.emarefa.net/detail/BIM-1363818
Modern Language Association (MLA)
Abu Arab, Muhammad A. R.…[et al.]. Nonrigid medical image registration using adaptive gradient optimizer. Journal of Engineering Research Vol. 5, no. 2 (2021), pp.10-17.
https://search.emarefa.net/detail/BIM-1363818
American Medical Association (AMA)
Abu Arab, Muhammad A. R.& Al-Khubbi, Hibah Ali& Ashur, Amirah S.. Nonrigid medical image registration using adaptive gradient optimizer. Journal of Engineering Research. 2021. Vol. 5, no. 2, pp.10-17.
https://search.emarefa.net/detail/BIM-1363818
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 16-17
Record ID
BIM-1363818