Imaging Cancer: Gaining insights from cells to organisms

Our ability to understand and treat cancer is critically dependent upon imaging. This meeting will bring together imaging experts in both clinical and basic research arenas to present their latest research and discuss how to integrate understanding across length scales, imaging modalities, and cancer types.

Improved clinical imaging has the power to transform the detection and biologic characterisation of early lesions and the identification of those patients with more advanced disease for tailoring and monitoring personalised therapies. Further, the development of new therapies depends on improved understanding of cancer biology; small animal imaging and imaging tumours with cellular and sub-cellular resolution can elucidate heterogeneity in cancer cell state and interactions with stromal cells, which provide new opportunities for therapeutic intervention.

Target Audience:

This conference is aimed at clinical and experimental cancer researchers working with, or interested in, the broad range of imaging modalities including US and photoacoustic, CT and micro CT, MRI, PET/CT and PET/MR hybrid imaging, as well as optical techniques. Data analysts dealing with imaging data science using deep learning/machine learning, are also explicitly encouraged to attend.

Frauke Alves (Germany),

Regina Beets Tan (Netherlands),

Sarah Bohndiek (UK),

Elisabeth de Vries (Netherlands),

Peter Friedl (Netherlands),

Jacky Goetz (France),

Vicky Goh (UK),

Jan Grimm (USA),

Ron Kikinis (USA/Germany),

Jason Lewis (USA),

Vasilis Ntziachristos (Germany),

Daniele Regge (Italy),

Erik Sahai (UK),

Heinz-Peter Schlemmer (Germany),

Julie Sutcliffe (USA),

Simon Walker-Samuel (UK)