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Abstract #2911

Investigating SMS in dynamic MR for Free-Breathing Functional Lung Imaging

Efe Ilıcak1,2, Daniel Stäb3,4, Peter Speier5, Ralph Strecker6, and Frank Gerrit Zöllner1,2
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3MR Research Collaborations, Siemens Healthcare Limited, Melbourne, Australia, 4Department of Radiology, The University of Melbourne, Melbourne, Australia, 5Cardiovascular Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 6EMEA Scientific Partnerships, Siemens Healthcare GmbH, Erlangen, Germany

Synopsis

Keywords: Lung, Lung, sms, functional, pulmonary

Motivation: Pulmonary functional imaging is critical for diagnosing lung diseases. However, sequential acquisition of multiple slices hinder the investigation of concurrent breathing dynamics while prolonging the overall the acquisition time.

Goal(s): Our goal is to investigate the use of simultaneous multi-slice (SMS) imaging as an alternative approach for accelerating dynamic acquisitions for functional lung imaging.

Approach: We obtained dynamic images using bSSFP and GRE acquisitions at 1.5T, from two healthy volunteers. Afterwards, registered images were analyzed using dynamic mode decomposition to generate pulmonary ventilation and perfusion maps.

Results: Functional maps were obtained using both pulse sequences with SMS in both sagittal and coronal views.

Impact: Dynamic lung imaging often requires multiple slices for volumetric coverage, which can be time-consuming. Simultaneous multi-slice (SMS) technique enables the acquisition of multiple slices at the same time, thus enabling the observation of concurrent breathing dynamics in an efficient manner.

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Keywords