Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging

Erwan Dereure; Christophe Kervazo; Johanne Seguin; Anikitos Garofalakis; Nathalie Mignet; Elsa Angelini; Jean Christophe Olivo-Marin

doi:10.1109/ISBI53787.2023.10230751

Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging

Erwan Dereure
, Christophe Kervazo
, Johanne Seguin
, Anikitos Garofalakis
, Nathalie Mignet
, Elsa Angelini
, Jean Christophe Olivo-Marin

Laboratoire de Probabilités et Modèles Aléatoires
Institut Polytechnique de Paris
CNRS UMR 8151
Biospace Lab

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

Bioluminescent imaging is used in oncology to measure tumoral size and activity via spatio-temporal photon emission counting. Bioluminescent signal analysis often requires delineating regions of interest around each tumor by hand, which complicates quantification in the case of mice bearing multiple tumors. In this work, we propose to use Non-Negative Matrix Factorization with data-adaptive sparsity constraints to enable automated separation of signals emitted from multiple tumors in mice. Results are presented on a set of 18 long-exposure acquisitions.

langue originale	Anglais
titre	2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023
Editeur	IEEE Computer Society
ISBN (Electronique)	9781665473583
Les DOIs	https://doi.org/10.1109/ISBI53787.2023.10230751
état	Publié - 1 janv. 2023
Evénement	20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 - Cartagena, Colombie Durée: 18 avr. 2023 → 21 avr. 2023

Série de publications

Nom	Proceedings - International Symposium on Biomedical Imaging
Volume	2023-April
ISSN (imprimé)	1945-7928
ISSN (Electronique)	1945-8452

Une conférence

Une conférence	20th IEEE International Symposium on Biomedical Imaging, ISBI 2023
Pays/Territoire	Colombie
La ville	Cartagena
période	18/04/23 → 21/04/23

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10.1109/ISBI53787.2023.10230751

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Dereure, E., Kervazo, C., Seguin, J., Garofalakis, A., Mignet, N., Angelini, E., & Olivo-Marin, J. C. (2023). Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging. Dans 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Proceedings - International Symposium on Biomedical Imaging; Vol 2023-April). IEEE Computer Society. https://doi.org/10.1109/ISBI53787.2023.10230751

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title = "Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging",

abstract = "Bioluminescent imaging is used in oncology to measure tumoral size and activity via spatio-temporal photon emission counting. Bioluminescent signal analysis often requires delineating regions of interest around each tumor by hand, which complicates quantification in the case of mice bearing multiple tumors. In this work, we propose to use Non-Negative Matrix Factorization with data-adaptive sparsity constraints to enable automated separation of signals emitted from multiple tumors in mice. Results are presented on a set of 18 long-exposure acquisitions.",

keywords = "Bioluminescent Imaging, Blind Source Separation, Oncology, Optimization, Preclinical imaging",

author = "Erwan Dereure and Christophe Kervazo and Johanne Seguin and Anikitos Garofalakis and Nathalie Mignet and Elsa Angelini and Olivo-Marin, \{Jean Christophe\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 ; Conference date: 18-04-2023 Through 21-04-2023",

year = "2023",

month = jan,

day = "1",

doi = "10.1109/ISBI53787.2023.10230751",

language = "English",

series = "Proceedings - International Symposium on Biomedical Imaging",

publisher = "IEEE Computer Society",

booktitle = "2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023",

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Dereure, E, Kervazo, C, Seguin, J, Garofalakis, A, Mignet, N, Angelini, E & Olivo-Marin, JC 2023, Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging. Dans 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. Proceedings - International Symposium on Biomedical Imaging, VOL. 2023-April, IEEE Computer Society, 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombie, 18/04/23. https://doi.org/10.1109/ISBI53787.2023.10230751

Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging. / Dereure, Erwan; Kervazo, Christophe; Seguin, Johanne et al.
2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society, 2023. (Proceedings - International Symposium on Biomedical Imaging; Vol 2023-April).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging

AU - Dereure, Erwan

AU - Kervazo, Christophe

AU - Seguin, Johanne

AU - Garofalakis, Anikitos

AU - Mignet, Nathalie

AU - Angelini, Elsa

AU - Olivo-Marin, Jean Christophe

PY - 2023/1/1

Y1 - 2023/1/1

N2 - Bioluminescent imaging is used in oncology to measure tumoral size and activity via spatio-temporal photon emission counting. Bioluminescent signal analysis often requires delineating regions of interest around each tumor by hand, which complicates quantification in the case of mice bearing multiple tumors. In this work, we propose to use Non-Negative Matrix Factorization with data-adaptive sparsity constraints to enable automated separation of signals emitted from multiple tumors in mice. Results are presented on a set of 18 long-exposure acquisitions.

AB - Bioluminescent imaging is used in oncology to measure tumoral size and activity via spatio-temporal photon emission counting. Bioluminescent signal analysis often requires delineating regions of interest around each tumor by hand, which complicates quantification in the case of mice bearing multiple tumors. In this work, we propose to use Non-Negative Matrix Factorization with data-adaptive sparsity constraints to enable automated separation of signals emitted from multiple tumors in mice. Results are presented on a set of 18 long-exposure acquisitions.

KW - Bioluminescent Imaging

KW - Blind Source Separation

KW - Oncology

KW - Optimization

KW - Preclinical imaging

UR - https://www.scopus.com/pages/publications/85172090094

U2 - 10.1109/ISBI53787.2023.10230751

DO - 10.1109/ISBI53787.2023.10230751

M3 - Conference contribution

AN - SCOPUS:85172090094

T3 - Proceedings - International Symposium on Biomedical Imaging

BT - 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023

PB - IEEE Computer Society

T2 - 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023

Y2 - 18 April 2023 through 21 April 2023

ER -

Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging

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