CaRaMel3d (3D Medical Imaging Calibration and Adjustment)

CaRaMel3d (3D Medical Imaging Calibration and Adjustment)© TRAIL

The clinical monitoring of slow-growing tumors is a major medical problem. The doctors at Institut Bergonié (regional cancer institute) seek to assess the aggressiveness of lung tumors. A partnership between the institute’s teams and mathematics researchers from the Institute of Mathematics of Bordeaux (IMB) – mixed research unit 5251/University of Bordeaux INP – has already made it possible to develop a mathematical model associated with an imaging calibration technique to assess the aggressiveness of tumors through 2D cross-sections. While these results are very encouraging, the 3D view of the growth of a tumor cannot be taken into account for the moment. The objective of the project led by Olivier Saut and his team at IMB is to develop new imaging machine adjustment and calibration algorithms in order to take into account this 3D image, which is indispensable for the clinical monitoring of slow-growing tumors. The bulk of the work done in this project has focused on the calibration of imaging devices. The approach used for this process has been totally reviewed. An application is being developed to take account of all of the 3D spatial information contained in the patient’s medical images. This new calibration method considerably reduces the amount of time required to adapt the devices’ mathematical model to each patient.