The potential of the i-TED Compton camera array for real-time boron imaging and determination during treatments in Boron Neutron Capture Therapy Torres Sánchez, Pablo Lerendegui Marco, Jorge Balibrea Correa, Javier Babiano Suárez, Víctor Gameiro, Bernardo Ladarescu, Ion Álvarez-Rodríguez, Patricia Daugas, Jean Michel Koester, Ulli Michelagnoli, Caterina Pedrosa-Rivera, María Porras Sánchez, José Ignacio Ruiz Magaña, María José Ruiz Ruiz, María Carmen Domingo Pardo, César Boron Neutron Capture Therapy Compton imaging Detector development 3D reconstruction This paper explores the adaptation and application of i-TED Compton imagers for real-time dosimetry in Boron Neutron Capture Therapy (BNCT). The i-TED array, previously utilized in nuclear astrophysics experiments at CERN, is being optimized for detecting and imaging 478 keV gamma-rays, critical for accurate BNCT dosimetry. Detailed Monte Carlo simulations were used to optimize the i-TED detector configuration and enhance its performance in the challenging radiation environment typical of BNCT. Additionally, advanced 3D image reconstruction algorithms, including a combination of back-projection and List-Mode Maximum Likelihood Expectation Maximization (LM-MLEM), are implemented and validated through simulations. Preliminary experimental tests at the Institut Laue-Langevin (ILL) demonstrate the potential of i-TED in simplified conditions, with ongoing experiments focusing on testing imaging capabilities in realistic BNCT conditions. 2026-01-13T07:44:17Z 2026-01-13T07:44:17Z 2024-12-25 journal article P. Torres-Sánchez, J. Lerendegui-Marco, J. Balibrea-Correa et al., The potential of the i-TED compton camera array for real-time boron imaging and determination during treatments in Boron Neutron Capture Therapy. Applied Radiation and Isotopes. 2025, 217:111649, doi: https://doi.org/10.1016/j.apradiso.2024.111649. https://hdl.handle.net/10481/109578 10.1016/j.apradiso.2024.111649 eng http://creativecommons.org/licenses/by-nc-nd/3.0/ embargoed access Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License Elsevier