Double‐reference cross‐correlation algorithm for separation of the arteries and veins from 3D MRA time series

Santini, Francesco; Patil, Sunil; Meckel, Stephan; Scheffler, Klaus; Wetzel, Stephan G.

doi:10.1002/jmri.21499

Cited by 12 publications

(3 citation statements)

References 19 publications

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“…One study used a cross-correlation analysis (CCA) of perfusion data sets for suppression of central pulmonary vessels [47]. CCA has previously been used to improve the SNR and arteriovenous separation in time-resolved MR angiography [48, 49]. It was shown that it is feasible to identify vessels with a similar signal-intensity time curve as a reference vessel using CCA.…”

Section: Contrast-enhanced Mr Perfusionmentioning

confidence: 99%

Pulmonary perfusion imaging using MRI: clinical application

Ley

Ley‐Zaporozhan

2011

Insights Imaging

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BackgroundLung perfusion is one of the key components of oxygenation. It is hampered in pulmonary arterial diseases and secondary due to parenchymal diseases.MethodsAssessment is frequently required during the workup of a patient for either of these disease categories.ResultsThis review provides insight into imaging techniques, qualitative and quantitative evaluation, and focuses on clinical application of MR perfusion.ConclusionThe two major techniques, non-contrast-enhanced (arterial spin labeling) and contrast-enhanced perfusion techniques, are discussed.

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Section: Contrast-enhanced Mr Perfusionmentioning

confidence: 99%

Pulmonary perfusion imaging using MRI: clinical application

Ley

Ley‐Zaporozhan

2011

Insights Imaging

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“…For the calculation of maximum intensity projection (MIP), CCA improves the signal-to-noise ratio compared with simple image subtraction [16]. A novel double-reference cross-correlation technique enables the correct separation of arteries and veins, even in the presence of bolus dispersion, where subtraction and standard CCA have difficulties with discrimination [17].…”

Section: Ccamentioning

confidence: 99%

“…Cross-correlation analysis (CCA) has previously been used to improve the signal-to-noise ratio and arteriovenous separation in time-resolved MR angiography [16,17]. It has been shown that it is feasible to identify vessels with a similar signal-intensity time-curve as a reference vessel using CCA.…”

Section: Introductionmentioning

confidence: 99%

Suppression of pulmonary vasculature in lung perfusion MRI using correlation analysis

et al. 2009

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The purpose of the study was to evaluate the feasibility of suppressing the pulmonary vasculature in lung perfusion MRI using cross-correlation analysis (CCA). Perfusion magnetic resonance imaging (MRI) (3D FLASH, TR/TE/flip angle: 0.8 ms/2.1 ms/40 degrees ) of the lungs was performed in seven healthy volunteers at 1.5 Tesla after injection of Gd-DTPA. CCA was performed pixel-wise in lung segmentations using the signal time-course of the main pulmonary artery and left atrium as references. Pixels with high correlation coefficients were considered as arterial or venous and excluded from further analysis. Quantitative perfusion parameters [pulmonary blood flow (PBF) and volume (PBV)] were calculated for manual lung segmentations separately, with the entire left and right lung with all intrapulmonary vessels (IPV) included, excluded manually or excluded using CCA. The application of CCA allowed reliable suppression of hilar and large IPVs. Using vascular suppression by CCA, perfusion parameters were significantly reduced (p

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Noninvasive Monitoring of the Response of Human Lungs to Low‐Dose Lipopolysaccharide Inhalation Challenge Using MRI: A Feasibility Study

Kern

Biller

Klimeš

et al. 2019

Magnetic Resonance Imaging

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BackgroundDevelopment of antiinflammatory drugs for lung diseases demands novel methods for noninvasive assessment of inflammatory processes in the lung.PurposeTo investigate the feasibility of hyperpolarized 129Xe MRI, 1H T1 time mapping, and dynamic contrast‐enhanced (DCE) perfusion MRI for monitoring the response of human lungs to low‐dose inhaled lipopolysaccharide (LPS) challenge compared to inflammatory cell counts from induced‐sputum analysis.Study TypeProspective feasibility study.PopulationTen healthy volunteers underwent MRI before and 6 hours after inhaled LPS challenge with subsequent induced‐sputum collection.Field Strength/Sequences1.5T/hyperpolarized 129Xe MRI: Interleaved multiecho imaging of dissolved and gas phase, ventilation imaging, dissolved‐phase spectroscopy, and chemical shift saturation recovery spectroscopy. 1H MRI: Inversion recovery fast low‐angle shot imaging for T1 mapping, time‐resolved angiography with stochastic trajectories for DCE MRI.AssessmentDissolved‐phase ratios of 129Xe in red blood cells (RBC), tissue/plasma (TP) and gas phase (GP), ventilation defect percentage, septal wall thickness, surface‐to‐volume ratio, capillary transit time, lineshape parameters in dissolved‐phase spectroscopy, 1H T1 time, blood volume, flow, and mean transit time were determined and compared to cell counts.Statistical TestsWilcoxon signed‐rank test, Pearson correlation.ResultsThe percentage of neutrophils in sputum was markedly increased after LPS inhalation compared to baseline, P = 0.002. The group median RBC‐TP ratio was significantly reduced from 0.40 to 0.31, P = 0.004, and 1H T1 was significantly elevated from 1157.6 msec to 1187.8 msec after LPS challenge, P = 0.027. DCE MRI exhibited no significant changes in blood volume, P = 0.64, flow, P = 0.17, and mean transit time, P = 0.11.Data ConclusionHyperpolarized 129Xe dissolved‐phase MRI and 1H T1 mapping may provide biomarkers for noninvasive assessment of the response of human lungs to LPS inhalation. By its specificity to the alveolar region, hyperpolarized 129Xe MRI together with 1H T1 mapping adds value to sputum analysis.Level of Evidence: 1Technical Efficacy Stage: 2J. Magn. Reson. Imaging 2020;51:1669–1676.

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Double‐reference cross‐correlation algorithm for separation of the arteries and veins from 3D MRA time series

Cited by 12 publications

References 19 publications

Pulmonary perfusion imaging using MRI: clinical application

Pulmonary perfusion imaging using MRI: clinical application

Suppression of pulmonary vasculature in lung perfusion MRI using correlation analysis

Noninvasive Monitoring of the Response of Human Lungs to Low‐Dose Lipopolysaccharide Inhalation Challenge Using MRI: A Feasibility Study

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