Feature Based Matching of CT & MRI Brain Images

Feature Based Matching of CT & MRI Brain Images

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Ayush dogra

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Punjabi University

Feature Based Matching of CT & MRI Brain Images

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Abstract

Multimodal image matching calls or demands for feature based or object based matching. Feature used in matching can be edges ,ridges, blobs, valleys etc. Feature based matching is considered as less tedious and low level image processing task whereas object based matching is consider as high level image processing task and complex.

References

6 Cites in Article

Reference Format

P Van Den Elsen,E Pol,T Sumanaweera,P Hemler,S Napel,J Adler (1994). Grey value correlation techniques used for automatic matching of CT and MR brain and spine images.
P Van Den Elsen (1993). Multimodality matching of brain images.
Petra Van Den Elsen,J Maintz,Evert-Jan D. Pol,Max Viergever (1992). <title>Image fusion using geometrical features</title>.
J Maintz,P Van Den Elsen,M Viergever (1996). Evaluation of ridge seeking operators for multimodality medical image matching.
P Van Den Elsen,J Maintz,E-J Pol,M Viergever (1995). Automatic registration of CT and MR brain images using correlation of geometrical features.
P Van Den Elsen,J Maintz,E Pol,M Viergever (1995). Automatic registration of CT and MR brain images using correlation of geometrical features.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ayush dogra. 2014. \u201cFeature Based Matching of CT & MRI Brain Images\u201d. Global Journal of Medical Research - A: Neurology & Nervous System GJMR-A Volume 13 (GJMR Volume 13 Issue A2): .

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GJMR Volume 13 Issue A2
Pg. 1- 3

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Journal Specifications

Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords

Not Found

Submission ReceivedDecember 8, 2012
Peer Review Double Blind
Handling Editor
Accepted January 1, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

February 9, 2014

Language

en

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Medical Research - A: Neurology & Nervous System

Authors: Ayush dogra (PhD/Dr. count: 0)

View Count (all-time): 148

Total Views (Real + Logic): 4848

Total Downloads (simulated): 2210

Publish Date: 2014 02, Sun

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Total Views: 4848

Total Downloads: 2210

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Published Article

Multimodal image matching calls or demands for feature based or object based matching. Feature used in matching can be edges ,ridges, blobs, valleys etc. Feature based matching is considered as less tedious and low level image processing task whereas object based matching is consider as high level image processing task and complex.

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