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Dive into the research topics where Kai Ruppert is active.

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Featured researches published by Kai Ruppert.


Advanced Drug Delivery Reviews | 2017

The use of hyperpolarized carbon-13 magnetic resonance for molecular imaging.

Sarmad Siddiqui; Stephen Kadlecek; Yi Xin; William Mannherz; Hooman Hamedani; Nicholas Drachman; Kai Ruppert; Justin Clapp; Rahim R. Rizi

&NA; Until recently, molecular imaging using magnetic resonance (MR) has been limited by the modalitys low sensitivity, especially with non‐proton nuclei. The advent of hyperpolarized (HP) MR overcomes this limitation by substantially enhancing the signal of certain biologically important probes through a process known as external nuclear polarization, enabling real‐time assessment of tissue function and metabolism. The metabolic information obtained by HP MR imaging holds significant promise in the clinic, where it could play a critical role in disease diagnosis and therapeutic monitoring. This review will provide a comprehensive overview of the developments made in the field of hyperpolarized MR, including advancements in polarization techniques and delivery, probe development, pulse sequence optimization, characterization of healthy and diseased tissues, and the steps made towards clinical translation.


Magnetic Resonance in Medicine | 2017

In vivo imaging of the progression of acute lung injury using hyperpolarized [1-13C] pyruvate

Yi Xin; Stephen Kadlecek; Maurizio Cereda; Harrilla Profka; Hooman Hamedani; Sarmad Siddiqui; Kai Ruppert; Nicholas Drachman; Jennia Rajaei; Rahim R. Rizi

To investigate pulmonary metabolic alterations during progression of acute lung injury.


Clinical Imaging | 2017

Hyperpolarized helium-3 magnetic resonance lung imaging of non-sedated infants and young children: a proof-of-concept study

Talissa A. Altes; Craig H. Meyer; Jaime F. Mata; Deborah K. Froh; Alix Paget-Brown; W. Gerald Teague; Sean B. Fain; Eduard E. de Lange; Kai Ruppert; Martyn Botfield; Mac Johnson; John P. Mugler

PURPOSE To develop and evaluate a protocol for hyperpolarized helium-3 (HHe) ventilation magnetic resonance imaging (MRI) of the lungs of non-sedated infants and children. MATERIALS AND METHODS HHe ventilation MRI was performed on seven children ≤4years old. Contiguous 2D-spiral helium-3 images were acquired sequentially with a scan time of ≤0.2s/slice. RESULTS Motion-artifact-free, high signal-to-noise ratio (SNR) images of lung ventilation were obtained. Gas was homogeneously distributed in healthy individuals; focal ventilation defects were found in patients with respiratory diseases. CONCLUSION HHe ventilation MRI can aid assessment of pediatric lung disease even at a young age.


Magnetic Resonance in Medicine | 2018

Regional investigation of lung function and microstructure parameters by localized 129Xe chemical shift saturation recovery and dissolved-phase imaging: A reproducibility study

Agilo Luitger Kern; Marcel Gutberlet; Kun Qing; Andreas Voskrebenzev; Filip Klimeš; T Kaireit; Christoph Czerner; Heike Biller; Frank Wacker; Kai Ruppert; Jens M. Hohlfeld; Jens Vogel-Claussen

To evaluate the reproducibility and regional variation of parameters obtained from localized 129Xe chemical shift saturation recovery (CSSR) MR spectroscopy in healthy volunteers and patients with chronic obstructive pulmonary disease (COPD) and to compare the results to 129Xe dissolved‐phase MR imaging.


Scientific Reports | 2018

Assessment of Pulmonary Gas Transport in Rabbits Using Hyperpolarized Xenon-129 Magnetic Resonance Imaging

Kai Ruppert; Hooman Hamedani; Faraz Amzajerdian; Yi Xin; Ian F. Duncan; Harrilla Profka; Sarmad Siddiqui; Stephen Kadlecek; Rahim R. Rizi

Many forms of lung disease manifest themselves as pathological changes in the transport of gas to the circulatory system, yet the difficulty of imaging this process remains a central obstacle to the comprehensive diagnosis of lung disorders. Using hyperpolarized xenon-129 as a surrogate marker for oxygen, we derived the temporal dynamics of gas transport from the ratio of two lung images obtained with different timing parameters. Additionally, by monitoring changes in the total hyperpolarized xenon signal intensity in the left side of the heart induced by depletion of xenon signal in the alveolar airspaces of interest, we quantified the contributions of selected lung volumes to the total pulmonary gas transport. In a rabbit model, we found that it takes at least 200 ms for xenon gas to enter the lung tissue and travel the distance from the airspaces to the heart. Additionally, our method shows that both lungs contribute fairly equally to the gas transport in healthy rabbits, but that this ratio changes in a rabbit model of acid aspiration. These results suggest that hyperpolarized xenon-129 MRI may improve our ability to measure pulmonary gas transport and detect associated pathological changes.


Scientific Reports | 2018

Lung Metabolism and Inflammation during Mechanical Ventilation; An Imaging Approach

Maurizio Cereda; Shampa Chatterjee; Yi Xin; Stephen Kadlecek; Ian F. Duncan; Hooman Hamedani; Sarmad Siddiqui; Harrilla Profka; Jason Ehrich; Kai Ruppert; Rahim R. Rizi

Acute respiratory distress syndrome (ARDS) is a major cause of mortality in critically ill patients. Patients are currently managed by protective ventilation and alveolar recruitment using positive-end expiratory pressure (PEEP). However, the PEEP’s effect on both pulmonary metabolism and regional inflammation is poorly understood. Here, we demonstrate the effect of PEEP on pulmonary anaerobic metabolism in mechanically ventilated injured rats, using hyperpolarized carbon-13 imaging. Pulmonary lactate-to-pyruvate ratio was measured in 21 rats; 14 rats received intratracheal instillation of hydrochloric-acid, while 7 rats received sham saline. 1 hour after acid/saline instillation, PEEP was lowered to 0 cmH2O in 7 injured rats (ZEEP group) and in all sham rats; PEEP was continued in the remaining 7 injured rats (PEEP group). Pulmonary compliance, oxygen saturation, histological injury scores, ICAM-1 expression and myeloperoxidase expression were measured. Lactate-to-pyruvate ratio progressively increased in the dependent lung during mechanical ventilation at ZEEP (p < 0.001), but remained unchanged in PEEP and sham rats. Lactate-to-pyruvate ratio was correlated with hyaline membrane deposition (r = 0.612), edema severity (r = 0.663), ICAM-1 (r = 0.782) and myeloperoxidase expressions (r = 0.817). Anaerobic pulmonary metabolism increases during lung injury progression and is contained by PEEP. Pulmonary lactate-to-pyruvate ratio may indicate in-vivo neutrophil activity due to atelectasis.


Magnetic Resonance in Medicine | 2018

Assessment of flip angle-TR equivalence for standardized dissolved-phase imaging of the lung with hyperpolarized 129Xe MRI

Kai Ruppert; Faraz Amzajerdian; Hooman Hamedani; Yi Xin; Luis Loza; Tahmina Achekzai; Ian F. Duncan; Harrilla Profka; Sarmad Siddiqui; Federico Sertic; Maurizio Cereda; Stephen Kadlecek; Rahim R. Rizi

To investigate the feasibility of describing the impact of any flip angle–TR combination on the resulting distribution of the hyperpolarized xenon‐129 (HXe) dissolved‐phase magnetization in the chest using a single virtual parameter, TR90°,equiv.


Magnetic Resonance in Medicine | 2018

Rapid assessment of pulmonary gas transport with hyperpolarized 129Xe MRI using a 3D radial double golden-means acquisition with variable flip angles

Kai Ruppert; Faraz Amzajerdian; Hooman Hamedani; Yi Xin; Luis Loza; Tahmina Achekzai; Ian F. Duncan; Harrilla Profka; Sarmad Siddiqui; Maurizio Cereda; Stephen Kadlecek; Rahim R. Rizi

To demonstrate the feasibility of using a 3D radial double golden‐means acquisition with variable flip angles to monitor pulmonary gas transport in a single breath hold with hyperpolarized xenon‐129 MRI.


Journal of Biomechanical Engineering-transactions of The Asme | 2018

Assessing Airflow Sensitivity to Healthy and Diseased Lung Conditions in a Computational Fluid Dynamics Model Validated In Vitro

Bora Sul; Zachary Oppito; Shehan Jayasekera; Brian Vanger; Amy Zeller; Michael J. Morris; Kai Ruppert; Talissa A. Altes; Vineet Rakesh; Steven W. Day; Risa J. Robinson; Jaques Reifman; Anders Wallqvist

Computational models are useful for understanding respiratory physiology. Crucial to such models are the boundary conditions specifying the flow conditions at truncated airway branches (terminal flow rates). However, most studies make assumptions about these values, which are difficult to obtain in vivo. We developed a computational fluid dynamics (CFD) model of airflows for steady expiration to investigate how terminal flows affect airflow patterns in respiratory airways. First, we measured in vitro airflow patterns in a physical airway model, using particle image velocimetry (PIV). The measured and computed airflow patterns agreed well, validating our CFD model. Next, we used the lobar flow fractions from a healthy or chronic obstructive pulmonary disease (COPD) subject as constraints to derive different terminal flow rates (i.e., three healthy and one COPD) and computed the corresponding airflow patterns in the same geometry. To assess airflow sensitivity to the boundary conditions, we used the correlation coefficient of the shape similarity (R) and the root-mean-square of the velocity magnitude difference (Drms) between two velocity contours. Airflow patterns in the central airways were similar across healthy conditions (minimum R, 0.80) despite variations in terminal flow rates but markedly different for COPD (minimum R, 0.26; maximum Drms, ten times that of healthy cases). In contrast, those in the upper airway were similar for all cases. Our findings quantify how variability in terminal and lobar flows contributes to airflow patterns in respiratory airways. They highlight the importance of using lobar flow fractions to examine physiologically relevant airflow characteristics.


Academic Radiology | 2018

Probing Changes in Lung Physiology in COPD Using CT, Perfusion MRI, and Hyperpolarized Xenon-129 MRI

Kun Qing; Nicholas J. Tustison; John P. Mugler; Jaime F. Mata; Zixuan Lin; Li Zhao; Da Wang; Xue Feng; Ji Young Shin; Sean Callahan; Michael P. Bergman; Kai Ruppert; Talissa A. Altes; Joanne M. Cassani; Y. Michael Shim

RATIONALE AND OBJECTIVES Chronic obstructive pulmonary disease (COPD) is highly heterogeneous and not well understood. Hyperpolarized xenon-129 (Xe129) magnetic resonance imaging (MRI) provides a unique way to assess important lung functions such as gas uptake. In this pilot study, we exploited multiple imaging modalities, including computed tomography (CT), gadolinium-enhanced perfusion MRI, and Xe129 MRI, to perform a detailed investigation of changes in lung morphology and functions in COPD. Utility and strengths of Xe129 MRI in assessing COPD were also evaluated against the other imaging modalities. MATERIALS AND METHODS Four COPD patients and four age-matched normal subjects participated in this study. Lung tissue density measured by CT, perfusion measures from gadolinium-enhanced MRI, and ventilation and gas uptake measures from Xe129 MRI were calculated for individual lung lobes to assess regional changes in lung morphology and function, and to investigate correlations among the different imaging modalities. RESULTS No significant differences were found for all measures among the five lobes in either the COPD or age-matched normal group. Strong correlations (R > 0.5 or < -0.5, p < 0.001) were found between ventilation and perfusion measures. Also gas uptake by blood as measured by Xe129 MRI showed strong correlations with CT tissue density and ventilation measures (R > 0.5 or < -0.5, p < 0.001) and moderate to strong correlations with perfusion measures (R > 0.4 or < -0.5, p < 0.01). Four distinctive patterns of functional abnormalities were found in patients with COPD. CONCLUSION Xe129 MRI has high potential to uniquely identify multiple changes in lung physiology in COPD using a single breath-hold acquisition.

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Hooman Hamedani

University of Pennsylvania

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Rahim R. Rizi

University of Pennsylvania

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Sarmad Siddiqui

University of Pennsylvania

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Stephen Kadlecek

University of Pennsylvania

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Yi Xin

University of Pennsylvania

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Harrilla Profka

University of Pennsylvania

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Ian F. Duncan

University of Pennsylvania

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Maurizio Cereda

University of Pennsylvania

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Faraz Amzajerdian

University of Pennsylvania

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