Comprehensive Multi-Dimensional MRI for the Simultaneous Assessment of Cardiopulmonary Anatomy and Physiology

2017 | journal article. A publication with affiliation to the University of Göttingen.

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​Comprehensive Multi-Dimensional MRI for the Simultaneous Assessment of Cardiopulmonary Anatomy and Physiology​
Cheng, J. Y.; Zhang, T.; Alley, M. T.; Uecker, M. ; Lustig, M.; Pauly, J. M. & Vasanawala, S. S.​ (2017) 
Scientific Reports7(1) pp. 5330​.​ DOI: https://doi.org/10.1038/s41598-017-04676-8 

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Authors
Cheng, Joseph Y.; Zhang, Tao; Alley, Marcus T.; Uecker, Martin ; Lustig, Michael; Pauly, John M.; Vasanawala, Shreyas S.
Abstract
Diagnostic testing often assesses the cardiovascular or respiratory systems in isolation, ignoring the major pathophysiologic interactions between the systems in many diseases. When both systems are assessed currently, multiple modalities are utilized in costly fashion with burdensome logistics and decreased accessibility. Thus, we have developed a new acquisition and reconstruction paradigm using the flexibility of MRI to enable a comprehensive exam from a single 5-15 min scan. We constructed a compressive-sensing approach to pseudo-randomly acquire highly subsampled, multi-dimensionally-encoded and time-stamped data from which we reconstruct volumetric cardiac and respiratory motion phases, contrast-agent dynamics, and blood flow velocity fields. The proposed method, named XD flow, is demonstrated for (a) evaluating congenital heart disease, where the impact of bulk motion is reduced in a non-sedated neonatal patient and (b) where the observation of the impact of respiration on flow is necessary for diagnostics; (c) cardiopulmonary imaging, where cardiovascular flow, function, and anatomy information is needed along with pulmonary perfusion quantification; and in (d) renal function imaging, where blood velocities and glomerular filtration rates are simultaneously measured, which highlights the generality of the technique. XD flow has the ability to improve quantification and to provide additional data for patient diagnosis for comprehensive evaluations.
Issue Date
2017
Journal
Scientific Reports 
Language
English

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