Abstract #4814

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

Andrada Ianus^1,2, Inês 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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.