Multi Modal Medical Image Registration: A New Data Driven Approach

Multi Modal Medical Image Registration: A New Data Driven Approach

C. Hemasundara Rao

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Dr. P.V. Naganjaneyulu

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Dr.K.Satyaprasad

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α Jawaharlal Nehru Technological University, Hyderabad

Multi Modal Medical Image Registration: A New Data Driven Approach

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Abstract

Image registration is a challenging task in building computer-based diagnostic systems. One type of image modality will not be able to provide all information needed for better diagnostic. Hence data from multiple sources/image modalities should be combined. In this work canonical correlation analysis (CCA) based image registration approach has been proposed. CCA provides the framework to integrate information from multiple sources. In this work, the information contained in both images is used for image registration task. T1-weighted, T2weighted and FLAIR MRI images has Multimodal registration done on it. The algorithm provided better results when compared with mutual information based image registration approach. The work has been carried out using the 3D rigid registration of CT and MRI images. The work is carried out using the public datasets, and later performance is evaluated with the work carried out by Research scholars previously.

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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

C. Hemasundara Rao. 2018. \u201cMulti Modal Medical Image Registration: A New Data Driven Approach\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 18 (GJCST Volume 18 Issue G1): .

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GJCST Volume 18 Issue G1
Pg. 5- 9

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-G Classification: I.5.1, I.4.1

Submission ReceivedDecember 11, 2017
Peer Review Double Blind
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Accepted January 1, 2018
Published January 15, 2018

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April 11, 2018

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Article Matrices

Total Score: 113

Country: India

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: C. Hemasundara Rao, Dr. P.V. Naganjaneyulu, Dr.K.Satyaprasad (PhD/Dr. count: 2)

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Publish Date: 2018 04, Wed

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Total Views: 6181

Total Downloads: 1649

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