Expected Label Value (ELV) for Image Segmentation

Supervised image soft-segmentation using the multi-atlas based Expected Label Value (ELV) approach.

https://www.nitrc.org/projects/elv

Iman Aganj

Version 1.1.1 (15,1 ko)

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1 déc. 2023

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This is the public Matlab implementation of medical image soft segmentation using the supervised multi-atlas based Expected Label Value (ELV) approach proposed by Aganj and Fischl (IEEE TMI 2021). This approach considers the probability of all possible atlas-to-image transformations and computes the ELV, thus bypassing deformable registration and avoiding the associated computational costs. A short tutorial is included in EXAMPLE.m.

This package also includes functions for FFT-based convolution, which can be used independently.

Citation pour cette source

Iman Aganj (2026). Expected Label Value (ELV) for Image Segmentation (https://fr.mathworks.com/matlabcentral/fileexchange/81283-expected-label-value-elv-for-image-segmentation), MATLAB Central File Exchange. Extrait(e) le mai 18, 2026.

Aganj, Iman, and Bruce Fischl. “Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value.” IEEE Transactions on Medical Imaging, vol. 40, no. 6, Institute of Electrical and Electronics Engineers (IEEE), June 2021, pp. 1702–10, doi:10.1109/tmi.2021.3064661.

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Remerciements

Inspiré par : Mid-Space-Independent and IDIR Deformable Image Registration

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Version	Publié le	Notes de version	Action
1.1.1	1 déc. 2023	Adding a missing file (sizeD.m).	Télécharger
1.1.0	1 mai 2023	ELV segmentation has been extended to accept multi-channel images.	Télécharger
1.0.4	2 juin 2021	Minor update.	Télécharger
1.0.3	25 jan. 2021	The IBSR example has been updated.	Télécharger
1.0.2	22 oct. 2020	Minor update.	Télécharger
1.0.1	16 oct. 2020	Minor update.	Télécharger
1.0.0	16 oct. 2020		Télécharger

MLA	Aganj, Iman, and Bruce Fischl. “Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value.” IEEE Transactions on Medical Imaging, vol. 40, no. 6, Institute of Electrical and Electronics Engineers (IEEE), June 2021, pp. 1702–10, doi:10.1109/tmi.2021.3064661.
APA	Aganj, I., & Fischl, B. (2021). Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value. IEEE Transactions on Medical Imaging, 40(6), 1702–1710. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Ftmi.2021.3064661
BibTeX	@article{Aganj_2021, doi = {10.1109/tmi.2021.3064661}, url = {https://doi.org/10.1109%2Ftmi.2021.3064661}, year = 2021, month = {jun}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {40}, number = {6}, pages = {1702--1710}, author = {Iman Aganj and Bruce Fischl}, title = {Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value}, journal = {{IEEE} Transactions on Medical Imaging} }