Volumetric MRI of the lungs during forced expiration

Benjamin P. Berman, Abhishek Pandey, Zhitao Li, Lindsie Jeffries, Theodore P. Trouard, Isabel Oliva, Felipe Cortopassi, Diego R. Martin, Maria I. Altbach, Ali Bilgin

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Purpose Lung function is typically characterized by spirometer measurements, which do not offer spatially specific information. Imaging during exhalation provides spatial information but is challenging due to large movement over a short time. The purpose of this work is to provide a solution to lung imaging during forced expiration using accelerated magnetic resonance imaging. The method uses radial golden angle stack-of-stars gradient echo acquisition and compressed sensing reconstruction. Methods A technique for dynamic three-dimensional imaging of the lungs from highly undersampled data is developed and tested on six subjects. This method takes advantage of image sparsity, both spatially and temporally, including the use of reference frames called bookends. Sparsity, with respect to total variation, and residual from the bookends, enables reconstruction from an extremely limited amount of data. Results Dynamic three-dimensional images can be captured at sub-150 ms temporal resolution, using only three (or less) acquired radial lines per slice per timepoint. The images have a spatial resolution of 4.6×4.6×10 mm. Lung volume calculations based on image segmentation are compared to those from simultaneously acquired spirometer measurements. Conclusion Dynamic lung imaging during forced expiration is made possible by compressed sensing accelerated dynamic three-dimensional radial magnetic resonance imaging.

Original languageEnglish (US)
Pages (from-to)2295-2302
Number of pages8
JournalMagnetic Resonance in Medicine
Volume75
Issue number6
DOIs
StatePublished - Jun 1 2016

Keywords

  • compressed sensing
  • forced expiration
  • pulmonary
  • spirometry

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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