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Retrospective reconstruction of high temporal resolution cine images from real‐time MRI using iterative motion correction
Author(s) -
Hansen Michael S.,
Sørensen Thomas S.,
Arai Andrew E.,
Kellman Peter
Publication year - 2012
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.23284
Subject(s) - real time mri , cartesian coordinate system , computer science , image quality , computer vision , artificial intelligence , image resolution , motion (physics) , iterative reconstruction , temporal resolution , nuclear medicine , magnetic resonance imaging , mathematics , image (mathematics) , medicine , physics , radiology , optics , geometry
Cardiac function has traditionally been evaluated using breath‐hold cine acquisitions. However, there is a great need for free breathing techniques in patients who have difficulty in holding their breath. Real‐time cardiac MRI is a valuable alternative to the traditional breath‐hold imaging approach, but the real‐time images are often inferior in spatial and temporal resolution. This article presents a general method for reconstruction of high spatial and temporal resolution cine images from a real‐time acquisition acquired over multiple cardiac cycles. The method combines parallel imaging and motion correction based on nonrigid registration and can be applied to arbitrary k‐ space trajectories. The method is demonstrated with real‐time Cartesian imaging and Golden Angle radial acquisitions, and the motion‐corrected acquisitions are compared with raw real‐time images and breath‐hold cine acquisitions in 10 ( N = 10) subjects. Acceptable image quality was obtained in all motion‐corrected reconstructions, and the resulting mean image quality score was (a) Cartesian real‐time: 2.48, (b) Golden Angle real‐time: 1.90 (1.00–2.50), (c) Cartesian motion correction: 3.92, (d) Radial motion correction: 4.58, and (e) Breath‐hold cine: 5.00. The proposed method provides a flexible way to obtain high‐quality, high‐resolution cine images in patients with difficulty holding their breath. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.