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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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023
PublisherIEEE Computer Society
ISBN (Electronic)9781665473583
DOIs
Publication statusPublished - 1 Jan 2023
Event20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 - Cartagena, Colombia
Duration: 18 Apr 202321 Apr 2023

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2023-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference20th IEEE International Symposium on Biomedical Imaging, ISBI 2023
Country/TerritoryColombia
CityCartagena
Period18/04/2321/04/23

Keywords

  • Bioluminescent Imaging
  • Blind Source Separation
  • Oncology
  • Optimization
  • Preclinical imaging

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