58 citations · 144 across the 5 of their papers we have counts for
5 papers · 1 filter
Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST)
Jonah Weigand-Whittier, Maria Sedykh, Kai Herz +7
Purpose: To substantially shorten the acquisition time required for quantitative 3D chemical exchange saturation transfer (CEST) and semisolid magnetization transfer (MT) imaging a…
snapshot CEST++ : the next snapshot CEST for fast whole-brain APTw imaging at 3T
Patrick Liebig, Maria Sedykh, Kai Herz +6
CEST suffers from two main problems long acquisitin times or restricted coverage as well as incoherent protocol settings. In this paper we give suggestions on how to optimise your…
MRzero -- Fully automated discovery of MRI sequences using supervised learning
Alexander Loktyushin, Kai Herz, Nam Dang +7
Purpose: A supervised learning framework is proposed to automatically generate MR sequences and corresponding reconstruction based on the target contrast of interest. Combined with…
CEST MR-Fingerprinting: practical considerations and insights for acquisition schedule design and improved reconstruction
Or Perlman, Kai Herz, Moritz Zaiss +3
Purpose: To understand the influence of various acquisition parameters on the ability of CEST MR-Fingerprinting (MRF) to discriminate different chemical exchange parameters and to…
DeepCEST: 9.4 T Chemical Exchange Saturation Transfer MRI contrast predicted from 3 T data - a proof of concept study
Moritz Zaiss, Anagha Deshmane, Mark Schuppert +6
Purpose: Separation of different CEST signals in the Z-spectrum is a challenge especially at low field strengths where amide, amine, and NOE peaks coalesce with each other or with…