@article{GomezDamianSperlJanichetal.2014, author = {G{\´o}mez Dami{\´a}n, Pedro A. and Sperl, Jonathan I. and Janich, Martin A. and Khegai, Oleksandr and Wiesinger, Florian and Glaser, Steffen J. and Haase, Axel and Schwaiger, Markus and Schulte, Rolf F. and Menzel, Marion Irene}, title = {Multisite Kinetic Modeling of 13C Metabolic MR Using [1-13C]Pyruvate}, volume = {2014}, pages = {871619}, journal = {Radiology Research and Practice}, publisher = {Hindawi}, address = {New York}, issn = {2090-195X}, doi = {https://doi.org/10.1155/2014/871619}, year = {2014}, abstract = {Hyperpolarized13C imaging allows real-timein vivomeasurements of metabolite levels. Quantification of metabolite conversion between [1-13C]pyruvate and downstream metabolites [1-13C]alanine, [1-13C]lactate, and [13C]bicarbonate can be achieved through kinetic modeling. Since pyruvate interacts dynamically and simultaneously with its downstream metabolites, the purpose of this work is the determination of parameter values through a multisite, dynamic model involving possible biochemical pathways present in MR spectroscopy. Kinetic modeling parameters were determined by fitting the multisite model to time-domain dynamic metabolite data. The results for different pyruvate doses were compared with those of different two-site models to evaluate the hypothesis that for identical data the uncertainty of a model and the signal-to-noise ratio determine the sensitivity in detecting small physiological differences in the target metabolism. In comparison to the two-site exchange models, the multisite model yielded metabolic conversion rates with smaller bias and smaller standard deviation, as demonstrated in simulations with different signal-to-noise ratio. Pyruvate dose effects observed previously were confirmed and quantified through metabolic conversion rate values. Parameter interdependency allowed an accurate quantification and can therefore be useful for monitoring metabolic activity in different tissues.}, language = {en} } @article{CoelloHafalirNoeskeetal.2019, author = {Coello, Eduardo and Hafalir, Fatih S. and Noeske, Ralph and Menzel, Marion Irene and Haase, Axel and Menze, Bjoern H. and Schulte, Rolf F.}, title = {Overdiscrete echo-planar spectroscopic imaging with correlated higher-order phase correction}, volume = {84}, journal = {Magnetic Resonance in Medicine}, number = {1}, publisher = {Wiley}, address = {Hoboken}, issn = {1522-2594}, doi = {https://doi.org/10.1002/mrm.28105}, pages = {11 -- 24}, year = {2019}, language = {en} } @article{PirklNunezGonzalezKofleretal.2021, author = {Pirkl, Carolin and Nunez-Gonzalez, Laura and Kofler, Florian and Endt, Sebastian and Grundl, Lioba and Golbabaee, Mohammad and G{\´o}mez, Pedro A. and Cencini, Matteo and Buonincontri, Guido and Schulte, Rolf F. and Smits, Marion and Wiestler, Benedikt and Menze, Bjoern H. and Menzel, Marion Irene and Hernandez-Tamames, Juan A.}, title = {Accelerated 3D whole-brain T1, T2, and proton density mapping}, volume = {63}, journal = {Neuroradiology}, subtitle = {feasibility for clinical glioma MR imaging}, number = {11}, publisher = {Springer}, address = {Berlin}, doi = {https://doi.org/10.1007/s00234-021-02703-0}, pages = {1831 -- 1851}, year = {2021}, abstract = {Purpose: Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging (QTI) method for tissue characterization based on T1 and T2 values. Methods: To demonstrate the viability of the proposed 3D QTI technique, nine glioma patients (grade II-IV), with a variety of disease states and treatment histories, were included in this study. First, we investigated the feasibility of 3D QTI (6:25 min scan time) for its use in clinical routine imaging, focusing on image reconstruction, parameter estimation, and contrast-weighted image synthesis. Second, for an initial assessment of 3D QTI-based quantitative MR biomarkers, we performed a ROI-based analysis to characterize T1 and T2 components in tumor and peritumoral tissue. Results: The 3D acquisition combined with a compressed sensing reconstruction and neural network-based parameter inference produced parametric maps with high isotropic resolution (1.125 × 1.125 × 1.125 mm3 voxel size) and whole-brain coverage (22.5 × 22.5 × 22.5 cm3 FOV), enabling the synthesis of clinically relevant T1-weighted, T2-weighted, and FLAIR contrasts without any extra scan time. Our study revealed increased T1 and T2 values in tumor and peritumoral regions compared to contralateral white matter, good agreement with healthy volunteer data, and high inter-subject consistency. Conclusion: 3D QTI demonstrated comprehensive tissue assessment of tumor substructures captured in T1 and T2 parameters. Aiming for fast acquisition of quantitative MR biomarkers, 3D QTI has potential to improve disease characterization in brain tumor patients under tight clinical time-constraints.}, language = {en} } @article{KoellischLaustsenNorlingeretal.2016, author = {Koellisch, Ulrich and Laustsen, Christoffer and N{\o}rlinger, Thomas S. and {\O}stergaard, Jakob A. and Flyvbjerg, Allan and Gringeri, Concetta V. and Menzel, Marion Irene and Schulte, Rolf F. and Haase, Axel and St{\o}dkilde-J{\o}rgensen, Hans}, title = {Current state-of-the-art hyperpolarized 13C-acetate-to-acetylcarnitine imaging is not indicative of the alteredbalance between glucose and fatty acid utilizationassociated with diabetes}, volume = {4}, pages = {e12975}, journal = {Physiological Reports}, number = {17}, publisher = {Wiley}, address = {New York}, issn = {2051-817X}, doi = {https://doi.org/10.14814/phy2.12975}, year = {2016}, language = {en} } @article{ScholzJanichKoellischetal.2014, author = {Scholz, David Johannes and Janich, Martin A. and Koellisch, Ulrich and Schulte, Rolf F. and Ardenkjaer-Larsen, Jan H. and Frank, Annette and Haase, Axel and Schwaiger, Markus and Menzel, Marion Irene}, title = {Quantified pH imaging with hyperpolarized 13C-bicarbonate}, volume = {73}, journal = {Magnetic Resonance in Medicine}, number = {6}, publisher = {Wiley}, address = {Hoboken}, issn = {1522-2594}, doi = {https://doi.org/10.1002/mrm.25357}, pages = {2274 -- 2282}, year = {2014}, language = {en} } @article{KubalaMunozAlvarezToppingetal.2016, author = {Kubala, Eugen and Mu{\~n}oz-{\´A}lvarez, Kim A. and Topping, Geoffrey and Hundshammer, Christian and Feuerecker, Benedikt and G{\´o}mez, Pedro A. and Pariani, Giorgio and Schilling, Franz and Glaser, Steffen J. and Schulte, Rolf F. and Menzel, Marion Irene and Schwaiger, Markus}, title = {Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging}, volume = {2016}, pages = {e54751}, journal = {Journal of Visualized Experiments}, number = {118}, publisher = {MyJoVE Corporation}, address = {Cambridge}, issn = {1940-087X}, doi = {https://doi.org/10.3791/54751}, year = {2016}, language = {en} } @article{KoellischLaustsenNorlingeretal.2015, author = {Koellisch, Ulrich and Laustsen, Christoffer and N{\o}rlinger, Thomas S. and {\O}stergaard, Jakob Appel and Flyvbjerg, Allan and Gringeri, Concetta V. and Menzel, Marion Irene and Schulte, Rolf F. and Haase, Axel and St{\o}dkilde-J{\o}rgensen, Hans}, title = {Investigation of metabolic changes in STZ-induced diabetic rats with hyperpolarized [1-13C]acetate}, volume = {3}, pages = {e12474}, journal = {Physiological Reports}, number = {8}, publisher = {Wiley}, address = {Weinheim}, issn = {2051-817X}, doi = {https://doi.org/10.14814/phy2.12474}, year = {2015}, abstract = {In the metabolism of acetate several enzymes are involved, which play an important role in free fatty acid oxidation. Fatty acid metabolism is altered in diabetes patients and therefore acetate might serve as a marker for pathological changes in the fuel selection of cells, as these changes occur in diabetes patients. Acetylcarnitine is a metabolic product of acetate, which enables its transport into the mitochondria for energy production. This study investigates whether the ratio of acetylcarnitine to acetate, measured by noninvasive hyperpolarized [1-13C]acetate magnetic resonance spectroscopy, could serve as a marker for myocardial, hepatic, and renal metabolic changes in rats with Streptozotocin (STZ)-induced diabetes in vivo. We demonstrate that the conversion of acetate to acetylcarnitine could be detected and quantified in all three organs of interest. More interestingly, we found that the hyperpolarized acetylcarnitine to acetate ratio was independent of blood glucose levels and prolonged hyperglycemia following diabetes induction in a type-1 diabetes model.}, language = {en} } @article{ScholzOttoHintermairetal.2015, author = {Scholz, David Johannes and Otto, Angela M. and Hintermair, Josef and Schilling, Franz and Frank, Annette and K{\"o}llisch, Ulrich and Janich, Martin A. and Schulte, Rolf F. and Schwaiger, Markus and Haase, Axel and Menzel, Marion Irene}, title = {Parameterization of hyperpolarized 13C-bicarbonate-dissolution dynamic nuclear polarization}, volume = {28}, journal = {Magnetic Resonance Materials in Physics, Biology and Medicine}, number = {6}, publisher = {Springer}, address = {Heidelberg}, issn = {1352-8661}, doi = {https://doi.org/10.1007/s10334-015-0500-9}, pages = {591 -- 598}, year = {2015}, language = {en} } @article{DurstKoellischDanieleetal.2016, author = {Durst, Markus and Koellisch, Ulrich and Daniele, Valeria and Steiger, Katja and Schwaiger, Markus and Haase, Axel and Menzel, Marion Irene and Schulte, Rolf F. and Aime, Silvio and Reineri, Francesca}, title = {Probing lactate secretion in tumours with hyperpolarised NMR}, volume = {29}, journal = {NMR in Biomedicine}, number = {8}, publisher = {Wiley}, address = {New York}, issn = {1099-1492}, doi = {https://doi.org/10.1002/nbm.3574}, pages = {1079 -- 1087}, year = {2016}, language = {en} } @article{KoellischGringeriRancanetal.2014, author = {Koellisch, Ulrich and Gringeri, Concetta V. and Rancan, Giaime and Farell, Eliane V. and Menzel, Marion Irene and Haase, Axel and Schwaiger, Markus and Schulte, Rolf F.}, title = {Metabolic Imaging of Hyperpolarized [1-13C]Acetate and [1-13C]Acetylcarnitine - Investigation of the Influence of Dobutamine Induced Stress}, volume = {74}, journal = {Magnetic Resonance in Medicine}, number = {4}, publisher = {Wiley}, address = {Hoboken}, issn = {1522-2594}, doi = {https://doi.org/10.1002/mrm.25485}, pages = {1011 -- 1018}, year = {2014}, language = {en} } @article{DuewelDurstGringerietal.2016, author = {D{\"u}wel, Stephan and Durst, Markus and Gringeri, Concetta V. and Kosanke, Yvonne and Gross, Claudia and Janich, Martin A. and Haase, Axel and Glaser, Steffen J. and Schwaiger, Markus and Schulte, Rolf F. and Braren, Rickmer and Menzel, Marion Irene}, title = {Multiparametric human hepatocellular carcinoma characterization and therapy response evaluation by hyperpolarized 13C MRSI}, volume = {29}, journal = {NMR in Biomedicine}, number = {7}, publisher = {Wiley}, address = {New York}, issn = {1099-1492}, doi = {https://doi.org/10.1002/nbm.3561}, pages = {952 -- 960}, year = {2016}, language = {en} } @article{DurstKoellischFranketal.2015, author = {Durst, Markus and Koellisch, Ulrich and Frank, Annette and Rancan, Giaime and Gringeri, Concetta V. and Karas, Vincent and Wiesinger, Florian and Menzel, Marion Irene and Schwaiger, Markus and Haase, Axel and Schulte, Rolf F.}, title = {Comparison of acquisition schemes for hyperpolarised 13C imaging}, volume = {28}, journal = {NMR in Biomedicine}, number = {6}, publisher = {Wiley}, address = {New York}, issn = {1099-1492}, doi = {https://doi.org/10.1002/nbm.3301}, pages = {715 -- 725}, year = {2015}, language = {en} }