2017
DOI: 10.1002/mrm.26893
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Feasibility of quantitative regional ventilation and perfusion mapping with phase‐resolved functional lung (PREFUL) MRI in healthy volunteers and COPD, CTEPH, and CF patients

Abstract: This study shows the feasibility of phase-resolved functional lung imaging to gain quantitative information regarding regional lung perfusion and ventilation without the need for ultrafast imaging, which will be advantageous for future clinical translation. Magn Reson Med 79:2306-2314, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

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Cited by 148 publications
(193 citation statements)
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References 25 publications
(34 reference statements)
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“…Preprocessed datasets were analyzed for each slice separately (3 coronal slices, each with 180 timepoints) according to the PREFUL approach as follows: The respiratory phase (expiration or inspiration) of each image was estimated from the averaged signal of the rectangular lung/diaphragm ROI (previously described in the preprocessing section). Using the slope of this signal (1 st derivative), all images were sorted according to a cosine model function to reconstruct a full respiratory cycle. Fractional ventilation time series (FV t ) covering the whole breathing cycle for each voxel inside the lung were then calculated according to Zapke et al without the noise term …”
Section: Methodsmentioning
confidence: 99%
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“…Preprocessed datasets were analyzed for each slice separately (3 coronal slices, each with 180 timepoints) according to the PREFUL approach as follows: The respiratory phase (expiration or inspiration) of each image was estimated from the averaged signal of the rectangular lung/diaphragm ROI (previously described in the preprocessing section). Using the slope of this signal (1 st derivative), all images were sorted according to a cosine model function to reconstruct a full respiratory cycle. Fractional ventilation time series (FV t ) covering the whole breathing cycle for each voxel inside the lung were then calculated according to Zapke et al without the noise term …”
Section: Methodsmentioning
confidence: 99%
“…FD‐MRI places much lower demands on available hardware in comparison to the previously mentioned techniques, making it a clinically applicable option alongside PFT. Recent advances in postprocessing (particularly motion correction) and in analyzing FD‐MRI datasets have improved image quality and made it possible to quantify regional lung ventilation …”
mentioning
confidence: 99%
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“…Similar to PREFUL and SENCEFUL, the proposed NUFD method generates functional maps where all of the signal contribution collected during the measurement can be used. Because the same amount of signal is used for the evaluation, one would expect similar SNR increases with the NUFD approach as with the 2 other methods compared to FD.…”
Section: Discussionmentioning
confidence: 99%
“…However, inevitable random variations of respiratory or cardiac frequencies during free‐breathing pulmonary measurements can be reason for artificial signal loss when using the established FD MRI approach. Related methods that have been proposed to overcome this problem require complex multiple‐step post‐processing including peak finding, exact phase estimation and data resorting of k‐space or image‐space data to use all of the measured signal variations as well as recalibrate the signal contribution to a single frequency.…”
Section: Introductionmentioning
confidence: 99%