Abstract #3236

SPOT: SPIRiT Image Reconstruction with Custom Kernel Geometry

Yulin V Chang¹, Marta Vidorreta², Ze Wang³, and John A Detre²

¹Radiology, University of Pennsylvania, Philadelphia, PA, United States, ²Neurology, University of Pennsylvania, Philadelphia, PA, United States, ³Hangzhou Normal University, Hangzhou, Zhejiang, China, People's Republic of

In SPIRiT image reconstruction the kernel usually consists of all elements within a square. The number of elements in such a kernel increases rapidly as the kernel size increases, especially for 3D reconstructions. Thus, a large kernel requires a sizable calibration region in k-space and demands significant time for calibration. In this work we proposed and validated a new image reconstruction approach that uses a custom SPIRiT kernel geometry, which we call SPOT. We show that a SPOT kernel is much faster to compute and results in no loss of image quality compared to the traditional SPIRiT kernel.

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.