Open AccessProbability-based 3D k-space sorting for motion robust 4D-MRI
Author(s) -
Duohua Sun,
Liang Xiao,
F Yin,
Jing Cai
Publication year - 2019
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2019.07.06
Subject(s) - imaging phantom , sorting , breathing , computer science , nuclear medicine , artificial intelligence , pattern recognition (psychology) , mathematics , algorithm , medicine , anatomy
Current 4D-MRI techniques are prone to breathing-variation-induced motion artifacts. This study developed a novel method for motion-robust multi-cycle 4D-MRI using probability-based multi-cycle sorting to overcome this deficiency.
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