Abstract
Image registration is the challenging and important step to build computer-based diagnostic systems. One type of image modality is not able to provide all information for better diagnostic, and we combine information from multiple sources/image modalities. In this work, we proposed a canonical correlation analysis (CCA)-based image registration approach. CCA provides us framework to combine information from multiple sources. In this work, we use the information presents in both images for image registration task. We perform multimodal registration on T1-weighted, T2-weighted, and FLAIR MRI images. We use public data sets to evaluate our algorithm. Our algorithm performs better with mutual information--based image registration approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Pluim J, Maintz JBA, Viergever M (2003) Mutual information based registration of medical images: a survey. IEEE Trans Med Imaging 22(8):986–1004
Hill DLG, Batchelor PG, Holden M, Hawkes DJ (2001) Medical image registration. Phys Med Biol 46(3):1–45
Maintz JBA, Viergever MA (1998) A survey of medical image registration. Med Image Anal 2(1):1–36
Sun T, Chen S (2007) Locality preserving CCA with applications to data visualization and pose estimation. Image Vis Comput 25:531–543
Akaho S (2001) A kernel method for canonical correlation analysis. IMPS2001-International Meeting of Psychometric Society, Osaka, 2001. http://www.neurosci.aist.go.jp/Ëœakaho/papers/IMPS2001full.pdf
Calhoun VD, Adalı T (2009) Feature-based fusion of medical imaging data. IEEE Trans Inf Technol Biomed 13(5)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Hemasundara Rao, C., Naganjaneyulu, P.V., Satyaprasad, K. (2018). MRI Image Registration: Data-Driven Approach. In: Saini, H., Singh, R., Reddy, K. (eds) Innovations in Electronics and Communication Engineering . Lecture Notes in Networks and Systems, vol 7. Springer, Singapore. https://doi.org/10.1007/978-981-10-3812-9_33
Download citation
DOI: https://doi.org/10.1007/978-981-10-3812-9_33
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3811-2
Online ISBN: 978-981-10-3812-9
eBook Packages: EngineeringEngineering (R0)