2017
DOI: 10.1002/mrm.26665
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Three‐dimensional oxygen‐enhanced MRI of the human lung at 1.5T with ultra‐fast balanced steady‐state free precession

Abstract: Purpose: To assess the feasibility of 3D oxygen-enhanced (OE) MRI of the lung at 1.5T using multi-volumetric ultra-fast balanced steady-state free precession (ufSSFP) acquisitions. Methods: Isotropic imaging of the lung for OE-MRI was performed with an adapted 3D ufSSFP sequence using five breathhold acquisitions ranging from functional residual capacity to tidal inspiration under both normoxic (room air) and hyperoxic (100% O 2 ) gas conditions. For each O 2 concentration, a sponge model (which captures the p… Show more

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Cited by 14 publications
(18 citation statements)
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References 32 publications
(69 reference statements)
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“…Most studies of human lung have focused on chronic obstructive pulmonary disorder and asthma, thereby examining the lung itself . Indeed, oxygen‐enhanced MRI of the lung is becoming increasingly popular …”
Section: Discussionmentioning
confidence: 99%
“…Most studies of human lung have focused on chronic obstructive pulmonary disorder and asthma, thereby examining the lung itself . Indeed, oxygen‐enhanced MRI of the lung is becoming increasingly popular …”
Section: Discussionmentioning
confidence: 99%
“…Image postprocessing was identical for ufSSFP and VIBE, and essentially similar to previous works . Signal preservation by image registration was analyzed by comparing the whole‐lung signal before and after image registration.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, SER images were calculated voxelwise (at positionx ) from the signal intensity before [SI pre ðx Þ] and after [SI post ðx Þ contrast agent administration, respectively, using SERðx Þ5 SI post ðxÞ2SI pre ðxÞ SI pre ðx Þ Image postprocessing was identical for ufSSFP and VIBE, and essentially similar to previous works. 19,20 Signal preservation by image registration was analyzed by comparing the whole-lung signal before and after image registration. A schematic summary of the proposed method is shown in Supporting Fig.…”
Section: Mr Image Postprocessingmentioning
confidence: 99%
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