Segmentation-based Multimodal Rigid Image Registration

da Iman Aganj

Rigid registration of 3D images with different contrasts.

https://www.nitrc.org/projects/sb-reg

Aggiornato 17 set 2020

This is an open-source Matlab function that allows rigid registration of 3D multi-modal images based on simultaneous segmentation, as introduced by Aganj and Fischl (IEEE SPL 2017). It is a modification of spm_coreg, and requires the publicly-available SPM12 toolbox.

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Aganj, Iman, and Bruce Fischl. “Multimodal Image Registration Through Simultaneous Segmentation.” IEEE Signal Processing Letters, vol. 24, no. 11, Institute of Electrical and Electronics Engineers (IEEE), Nov. 2017, pp. 1661–65, doi:10.1109/lsp.2017.2754263.

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Sciences > Neuroscience > Human Brain Mapping > Neuroimaging >

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Ispirato da: Statistical Parametric Mapping

MLA	Aganj, Iman, and Bruce Fischl. “Multimodal Image Registration Through Simultaneous Segmentation.” IEEE Signal Processing Letters, vol. 24, no. 11, Institute of Electrical and Electronics Engineers (IEEE), Nov. 2017, pp. 1661–65, doi:10.1109/lsp.2017.2754263.
APA	Aganj, I., & Fischl, B. (2017). Multimodal Image Registration Through Simultaneous Segmentation. IEEE Signal Processing Letters, 24(11), 1661–1665. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Flsp.2017.2754263
BibTeX	@article{Aganj_2017, doi = {10.1109/lsp.2017.2754263}, url = {https://doi.org/10.1109%2Flsp.2017.2754263}, year = 2017, month = {nov}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {24}, number = {11}, pages = {1661--1665}, author = {Iman Aganj and Bruce Fischl}, title = {Multimodal Image Registration Through Simultaneous Segmentation}, journal = {{IEEE} Signal Processing Letters} }