Premium
Co‐registration of acquired MR ventilation and perfusion images—Validation in a porcine model
Author(s) -
Rizi Rahim R.,
Saha Punam K.,
Wang Binquan,
Ferrante Margaret A.,
Lipson David,
Baumgardner James,
Roberts David A.
Publication year - 2003
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.10359
Subject(s) - perfusion , ventilation (architecture) , isoflurane , nuclear medicine , image registration , perfusion scanning , medicine , biomedical engineering , computer science , radiology , anesthesia , physics , artificial intelligence , image (mathematics) , thermodynamics
Under controlled imaging conditions, functional, co‐registered ventilation and perfusion images were obtained for quantitative MRI assessment of pulmonary function. Experiments were conducted on 25–35 kg Yorkshire pigs ( N = 5) under ketamine/isoflurane anesthesia. Ventilation and perfusion MR images were obtained using laser polarized gas and gadolinium (Gd), respectively. The mutual information‐based technique was used to quantify the initial misregistration between the acquired ventilation and perfusion images, to cope with different intensity characteristics. Means and standard deviations (SDs) of misregistrations for the five subjects, in terms of absolute translation and absolute rotations around each of the three coordinate axes, were computed to evaluate the hypothesis. For qualitative illustrations, plots of mutual information values under absolute translations and rotations around each of the three coordinate axes are presented. This preliminary study shows the feasibility of acquiring functional image data that are spatially co‐registered. This method has potential applications in the quantitative assessment of regional alveolar ventilation and pulmonary perfusion ratio, in both normal and diseased lung. Magn Reson Med 49:13–18, 2003. © 2003 Wiley‐Liss, Inc.