| Title: |
Realistic Simulated Database for Near-Infrared FDOT |
| Authors: |
Rodriguez-Vega, Martin; Nguyen, Pascal; Wojak, Julien; Henry, Maxime; Josserand, Véronique; Silva, Anabela Da |
| Contributors: |
DiMABio (DiMABio); Institut FRESNEL (FRESNEL); Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS); Kaer Labs; Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS); Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB); Établissement Français du Sang Auvergne-Rhône-Alpes Lyon (EFS Auvergne-Rhône-Alpes - Lyon); Établissement Français du Sang La Plaine Saint-Denis (EFS)-Établissement Français du Sang La Plaine Saint-Denis (EFS)-CHU de Grenoble-Alpes - Centre Hospitalier Universitaire CHU Grenoble (CHUGA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA); France 2030 investment plan, as part of the Initiative d’Excellence d’Aix-Marseille Universit´e – A*MIDEX (AMX-20-TRA-053); ANR-11-INBS-0006,FLI,France Life Imaging(2011); ANR-24-CE19-2073,SAMURAI2,Imagerie de fluorescence multiispectrale en 3D pour le petit animal dans la deuxième fenêtre biologique(2024) |
| Source: |
Finnish-French Workshop on Biomedical Optical Tomography ; https://hal.science/hal-05572659 ; Finnish-French Workshop on Biomedical Optical Tomography, Mar 2026, Kuopio, Finland |
| Publisher Information: |
CCSD |
| Publication Year: |
2026 |
| Collection: |
Université Grenoble Alpes: HAL |
| Subject Terms: |
Fluorescence diffuse optical tomography; [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging; [MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]; [PHYS.PHYS.PHYS-COMP-PH]Physics [physics]/Physics [physics]/Computational Physics [physics.comp-ph]; [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics] |
| Subject Geographic: |
Kuopio; Finland |
| Description: |
International audience ; We present a large-scale, modular simulation framework for generating reproducible Fluorescence Diffuse Optical Tomography (fDOT) datasets spanning the NIR-I (700–900 nm) to NIR-II (900–1800 nm) spectral windows in murine models. The framework addresses the growing need for standardized benchmarks in fDOT, particularly as interest shifts toward NIR-II imaging, which offers reduced scattering, increased penetration depth, and improved spatial resolution.Progress in this area remains limited by challenges in forward modeling, data processing, and inverse reconstruction. In addition, the emergence of Artificial Intelligence (AI) methods in optical tomography requires large, diverse, and well-characterized datasets for training and validation. The absence of open and reproducible databases currently restricts fair comparison between competing methodologies.To overcome these limitations, we construct a large simulated database using a fully modular pipeline that separates geometry generation, optical property assignment, forward problem solution, and post-processing. Geometric variability is ensured through both parametric shape definitions and elastic deformation models for realistic phantoms. The database generation code will be released to promote reproducibility and collaborative development. |
| Document Type: |
conference object |
| Language: |
English |
| Availability: |
https://hal.science/hal-05572659 |
| Rights: |
https://creativecommons.org/licenses/by-nc/4.0/ |
| Accession Number: |
edsbas.AAACFE29 |
| Database: |
BASE |