University of Illinois

Nitin Aggarwal

Yoram Bresler

Behzad Sharif

Saptarshi Bandyopadhyay

A method for acquiring MR data from a beating heart during subject respiration includes a prescan phase in which a respiratory compensation table and a k-space sampling schedule are produced. The k-space sampling table is produced using a spatio-temporal model of the beating heart and time sequential sampling theory. During the subsequent scan an imaging pulse sequence which is prospectively compensated for respiratory motion is used to acquire k-space data from the subject. The imaging pulse sequence is repeated to play out the phase encodings in the order listed in the k-space sampling schedule.

Adaptive acquisition and reconstruction of dynamic MR images

A method for acquiring magnetic resonance (MR) data from a dynamic object in which a k-space sampling schedule are produced. The k-space sampling table is produced using a spatio-temporal model of the beating heart, time sequential sampling theory and a known number of parallel receive channels (coils). The imaging pulse sequence is repeated to play out the phase encodings in the order listed in the k-space sampling schedule and the k-space data sets acquired through the parallel receive channels are combined and used to reconstruct a sequence of images. The method is an improved process for dynamic MRI, designed to overcome the limitations of current MRI systems in imaging dynamic phenomena and produces highly accurate motion movies of the structure, function, perfusion and viability of various anatomical regions in MRI subjects such as the beating heart, flow of contrast agents in blood vessels, brain excitation, or joint movement.

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Champaign, IL, United States of America

Nitin Aggarwal