Imaging genomics, also known as radiogenomics, is a growing field and application area in multi-scale data fusion whereby macroscopic phenotypes from medical imaging are linked with molecular phenotypes. The main idea is to discover imaging biomarkers that can identify the genomics of diseases, especially cancer, without the need for a biospy. This growing field draws from advances in quantitative imaging to increasingly extract more quantitative information from medical images. On the molecular biology side, bioinformatics algorithms are needed to summarize and extract meaningful information out of high dimensional genome wide data. Read more on imaging genomics here.
Imaging genomics in the Gevaert lab
The lab has done radiogenomics work on lung cancer, glioblastoma and hepatocellular carcinoma, and is expanding to other cancer types and disease:
- Lung cancer
- Hepatocellular carcinoma
Read more details about this study here.