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Abstract #4814

Classification of benign and malignant lymph nodes based on ex-vivo diffusion MRI data

Andrada Ianus1,2, InĂªs Santiago2, Daniele Ravi1, Celso Matos2, Daniel C. Alexander1, and Noam Shemesh2

1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal

Developing non-invasive imaging technique for detection and characterisation of lymph nodes is an important topic in cancer research. Diffusion MRI (dMRI) appears to be a promising modality for this task. This work investigates the ability of dMRI to differentiate benign and malignant lymph nodes based on a rich, ex-vivo dataset, and aims to find which measurements provide the most differentiation power.

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