Abstract #1326

Simultaneous image super-resolution and contrast synthesis techniques applied to routine clinical magnetic resonance images of the knee for advanced automated processing of joint cartilage

Ales Neubert¹, Pierrick Bourgeat¹, Jose Manjon², Craig Engstrom³, Shekhar S Chandra³, Stuart Crozier³, and Jurgen Fripp¹

¹AeHRC, CSIRO, Brisbane, Australia, ²ITACA institute, Universidad Politécnica de Valencia, Valencia, Spain, ³University of Queensland, Brisbane, Australia

While high resolution 3D MR images are well suited for automated cartilage segmentation in the human knee joint, they are not routinely acquired in clinical practice which limits opportunities for reliable segmentation of cartilage using automated algorithms. We propose a neural network for generating synthetic MR images with enhanced contrast and higher spatial resolution from routine, low resolution clinical knee scans. Segmentation results showed that accurate cartilage segmentation can be obtained using the synthesised images.

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.