Multimodal Image Analysis

The joint analysis of multiple images of the same specimen acquired in different imaging modalities is typically used to obtain more information about the specimen than is possible from just a single modality. Multi-modal imaging often requires image alignment because the specimen is usually physically moved from one imaging instrument into another or at least some changes of the optical path are needed that can modify geometrical properties of images. Having the images aligned the different modalities can be used for improving observed object segmentation or better understand various properties of the specimen.

Our group develops methods for joint analysis of multimodal images of different kinds. The recent projects are focused on:

• Combining fluorescence microscopy and mass spectrometry imaging (MALDI). The project is supported by the Grant Agency of Masaryk University (GAMU) and is solved in collaboration with CEITEC MU and Faculty of Sciences, Masaryk University.
• Prostate MRI imaging in multiple modes. The project is supported by an internal Czech Bioimaging project and is solved in collaboration with CEITEC MU and Faculty Hospital.
• Brain tumour MRI imaging in multiple modes. The project is supported by an internal Czech Bioimaging project and is solved in collaboration with the St. Anne's University Hospital Brno
• Multimodal in vivo preclinical imaging of small laboratory animals including cell tracking in multiple modalities (MRI, MPI-magnetic particle imaging, PET/SPECT/CT, confocal microscopy). The project is supported by the Ministry of Education Youth and Sports, Czech Republic, in collaboration with the Charles University and the Institute of the Physiology, the Czech Academy of Sciences.
• Segmentation and tracking of live cells in multimodal images. The project is supported by the Czech Science Foundation.