Abstract #3186

Gradient Optimization for arbitrary k-space trajectories using Active Contour (GO-Active)

Pavan Poojar¹, Bikkemane Jayadev Nutandev², Ramesh Venkatesan³, and Sairam Geethanath¹

¹Medical Imaging Research Centre, Dayananda Sagar College of Engineering, Bangalore, India, ²Bangalore, India, ³Wipro-GE Healthcare, Bangalore, India

K-space trajectories such as cartesian, radial, spiral are not optimal for traversing arbitrary k-space shapes. GO-Active is a novel acquisition technique which is a combination of active contour and convex optimization where active contour was used to obtain arbitrary k-space trajectory and convex optimization was employed to optimize the gradients based on hardware constraints. Reconstruction was performed using Non Uniform Fast Fourier Transform and compressed sensing. Retrospective study was performed on six brain datasets and phantom, where as prospective study was carried out on the phantom respectively. Current and Future work involves application of GO-Active on in vivo data prospectively.

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.