The MIRO lab has extensive experience in combining technical (physics, mathematics, and engineering) and clinical knowledge to improve radiation oncology treatments. The research of MIRO lab covers a wide range of topics: automation and speed-up of treatment planning , dose calculation accuracy, image segmentation, and adaptive therapy, among others. MIRO has also a remarkable track-record in developing open-source software, with OpenTPS (previously MIROpt), a robust optimizer for radiotherapy treatment planning able to deal with treatment uncertainties and coupled with MCsquare, a Monte Carlo dose calculation for improved accuracy. MIROpt and MCsquare were integrated in openREGGUI, a much larger open-source platform for image processing and treatment planning. In the last 5 to 7 years, the MIRO lab has also extensively explored the field of artificial intelligence (AI) and the application of deep learning (DL) to automate and improve the treatment planning process.
MIRO benefits from national and international collaborations, with partners from both clinical, academic and industrial backgrounds. Our immediate clinical partner is the Cliniques Universitaires St. Luc (CUSL, Belgium), which is our main source for the transfer of clinical knowledge and patient data. Other clinical partners are Cliniques St. Jean (Brussels), Center Oscar Lambret (Lille, France) or UZLeuven (Leuven, Belgium). From a more technical background, the MIRO lab closely collaborate with ICTEAM-UCLouvain, KU Leuven, UTSW Medical Center (Dallas - TX, US), Massachusetts General Hospital at Harvard Medical School, University of Wisconsin, or with industrial partners such as Ion Beam Application S.A (IBA) and RaySearch Laboratories, leading companies for proton therapy centers and treatment planning systems, respectively.