Education
Simon Triphan has received a Dr. rer. nat. at the chair of experimental physics 5 (biophysics) at the Julius-Maximilians-Universität Würzburg performing research centered on T1 and T2* quantification in the human lungs and works as a postdoctoral researcher at the department of diagnostic and interventional radiology at the University Hospital Heidelberg since 2013.
Expertise
Dr. Triphan works on the development of novel pulse sequences for magnetic resonance imaging, specifically for functional lung imaging using parameter quantification, as well as the development of processing software for MR images.
- Quantification of echo time-dependent observed T1 and T2* in the human lungsQuantification of echo time-dependent observed T1 and T2* in the human lungsQuantification of echo time-dependent observed T1 and T2* in the human lungs
- Automated quantification of lung perfusion using dynamic contrast enhancement
Platform Imaging
1. Triphan, S.M.F., Weinheimer, O., Gutberlet, M., Heußel, C.P., Vogel-Claussen, J., Herth, F., Vogelmeier, C.F., Jörres, R.A., Kauczor, H.-U., Wielpütz, M.O., Biederer, J., Jobst, B.J. and (2021), Echo Time-Dependent Observed Lung T1 in Patients With Chronic Obstructive Pulmonary Disease in Correlation With Quantitative Imaging and Clinical Indices. J Magn Reson Imaging, 54: 1562-1571. https://doi.org/10.1002/jmri.27746
2. Triphan, S.M.F., Stahl, M., Jobst, B.J., Sommerburg, O., Kauczor, H.-U., Schenk, J.-P., Alrajab, A., Eichinger, M., Mall, M.A. and Wielpütz, M.O. (2020), Echo Time-Dependence of Observed Lung T1 in Patients With Cystic Fibrosis and Correlation With Clinical Metrics. J Magn Reson Imaging, 52: 1645-1654. https://doi.org/10.1002/jmri.27271
3. Ter-Karapetyan A, Triphan SMF, Jobst BJ, Anjorin AF, Ley-Zaporozhan J, et al. (2018) Towards quantitative perfusion MRI of the lung in COPD: The problem of short-term repeatability. PLOS ONE 13(12): e0208587. https://doi.org/10.1371/journal.pone.0208587
4. Triphan, S.M.F., Breuer, F.A., Gensler, D., Kauczor, H.-U. and Jakob, P.M. (2015), Oxygen enhanced lung MRI by simultaneous measurement of T1 and T2* during free breathing using ultrashort TE. J. Magn. Reson. Imaging, 41: 1708-1714. https://doi.org/10.1002/jmri.24692
5. Jobst BJ, Triphan SMF, Sedlaczek O, Anjorin A, Kauczor HU, et al. (2015) Functional Lung MRI in Chronic Obstructive Pulmonary Disease: Comparison of T1 Mapping, Oxygen-Enhanced T1 Mapping and Dynamic Contrast Enhanced Perfusion. PLOS ONE 10(3): e0121520. https://doi.org/10.1371/journal.pone.0121520
Julian Grolig | PhD Student |
Lung Research - Projects
1. Quantification of echo time-dependent observed T1 in the human lungs
T1 significantly different from healthy subjects was observed in the lungs of patients with both chronic obstructive pulmonary disease and cystic fibrosis. Lung T1 is determined by local perfusion and the tissue composition. During the development of pulse sequences for the quantification of T1 in the lungs, it was discovered that T1 depends on the echo time (TE) it is measured at. This is due to the protons in the blood and extravascular compartments exhibiting different T1 and T2* relaxation times. Thus, this approach may eventually provide local information on both perfusion (without the need for contrast agent) and tissue composition.
2. Automated quantification of lung perfusion using dynamic contrast enhancement
Perfusion in the lungs is regulated by hypoxic vasoconstriction, where oxygen in the alveoli determines local capillary expansion. Because of this, the detecting perfusion abnormalities can be used to image lung function. While visual scoring of perfusion MRI by radiologists has been demonstrated, they can be subjective and relatively few radiologists have experience with lung MRI. Fully automated quantification of lung perfusion MRI is intended to provide measurement data that is comparable between patients and timepoints, and thus would be useful for diagnosis and monitoring of lung disease.
