Zimu Huo

Zimu Huo

I’m interested in developing advanced data acquisition methods and reconstruction algorithms in magnetic resonance imaging (MRI).

SENSE reconstruction tutorial

less than 1 minute read

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SENSE is a parallel imaging technique used to accelerate data acquisition in MRI.

In the original implementation of SENSE, the full-resolution coil sensitivity maps are estimated based on low-resolution calibration data. Consequently, high-resolution information is inherently absent. This contrasts with GRAPPA reconstruction, where high-resolution information is retained.

The advantage of SENSE lies in its simplicity, allowing for easy formulation as a forward model that can be solved through iterative reconstruction. See the next post for CG-SENSE (iterative reconstruction)

View the SENSE reconstruction tutorial here

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