128296

Application of Image Registration Techniques to Medical CT and MR Images.

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

Electronics and Communications Engineering

Abstract

Image registration has become one of the most widely used techniques in computer vision. Its applications include optical flow, notion analysis, tracking, face detection, and biomedical image registration. In the present work, three different techniques of image registration were implemented and applied to both Computed Tomography (CT) and Magnetic Resonance (MR) images. The first technique is based on Cross Correlation (CC). The second approach depends on Control Points' Selection (CPS) from both the reference and the input images. The last technique is based on Maximization of Mutual Information (MMI) between We two images. The registrability is calculated for each image to measure its ability to provide unambiguous registration, by providing clear correlation peaks when registered with other subimage. Then, the three registration techniques were evaluated and compared using both the Weighted Peak Signal to Noise Ratio (WPSNR) and the Normalized Cross Correlation Coefficient (NCCC). The application of the selected techniques to CT and MR images has shown that registration based on MMI has given the best results and can be used efficiently for alignment of CT and MR images. 

DOI

10.21608/bfemu.2020.128296

Keywords

Image registration, mutual information, weighted peak signal to noise ratio, CT images, MR images, registrability

Authors

First Name

Hossam El_Din

Last Name

Moustafa

MiddleName

-

Affiliation

Communications and Electronics Engineering Department Faculty of Engineering, Mansoura University Mansoura, EGYPT 35516

Email

-

City

Mansoura

Orcid

-

First Name

Sameh

Last Name

Rehan

MiddleName

-

Affiliation

(Senior IEEE member) Communications and Electronics Engineering Department Faculty of Engineering, Mansoura University Mansoura, Egypt 35516

Email

-

City

Mansoura

Orcid

-

Volume

32

Article Issue

2

Related Issue

19076

Issue Date

2007-06-01

Receive Date

2007-02-11

Publish Date

2020-12-07

Page Start

49

Page End

57

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_128296.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=128296

Order

10

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Application of Image Registration Techniques to Medical CT and MR Images.

Details

Type

Article

Created At

22 Jan 2023