Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI

no code implementations • 9 Dec 2023 • Hongyi Gu, Chi Zhang, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya

Functional MRI (fMRI) is an important tool for non-invasive studies of brain function.

Self-Supervised Learning

Highly Accelerated EPI with Wave Encoding and Multi-shot Simultaneous Multi-Slice Imaging

1 code implementation • 3 Jun 2021 • Jaejin Cho, Congyu Liao, Qiyuan Tian, Zijing Zhang, Jinmin Xu, Wei-Ching Lo, Benedikt A. Poser, V. Andrew Stenger, Jason Stockmann, Kawin Setsompop, Berkin Bilgic

We introduce wave encoded acquisition and reconstruction techniques for highly accelerated echo planar imaging (EPI) with reduced g-factor penalty and image artifacts.