Different diagnostic data – MRI, CT-angiography, and ultrasound – are used in the multidisciplinary study of the lungs, which need to be combined in a single 3D lung model. In addition, complex mapping of organ images can compensate for the insufficiency of a single method of lung studies. Using the combined image of MRI, CT-angiography, and ultrasound, individual adjustment of sections and study planes, optimal overlay of information, and display of the organ’s main components’ positions are realized. A mathematical model is proposed for the aggregation of lung images created by different methods to increase the contrast of the contours and obtain additional diagnostic data. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Noisy Medical Images Aggregation for Pulmonary Tissue Damage Detection