Model-Assisted Time-Synchronization of Cardiac MR Image and Catheter Pressure Data
| Autor: | Mohamed Abdelghafar Hussein, Maria Gusseva, Radomir Chabiniok, Surendranath R. Veeram Reddy, Gerald F. Greil, Daniel A. Castellanos, Joshua S. Greer, Tarique Hussain, Dominique Chapelle |
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| Přispěvatelé: | Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine (M3DISIM), Laboratoire de mécanique des solides (LMS), École polytechnique (X)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), University of Texas Southwestern Medical Center [Dallas], Boston Children's Hospital, Pediatric department, Kafrelsheikh University, Kafrelsheikh University, École polytechnique (X)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-MINES ParisTech - École nationale supérieure des mines de Paris, Faculty of Medicine, Kafrelsheikh University, Kafrelsheikh, Egypt |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Physics
cardiovascular modeling time-synchronization of clinical data medicine.diagnostic_test Cardiac cycle pressure volume loops Image (category theory) Magnetic resonance imaging personalized medicine 030204 cardiovascular system & hematology Type (model theory) 030218 nuclear medicine & medical imaging 03 medical and health sciences QRS complex 0302 clinical medicine Nuclear magnetic resonance translational research [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system Norm (mathematics) Ventricular pressure medicine [SDV.IB]Life Sciences [q-bio]/Bioengineering interventional cardiovascular magnetic resonance imaging Volume (compression) |
| Zdroj: | Proceedings of Functional Imaging and Modeling of Heart (FIMH 2021) FIMH 2021-Functional Imaging and Modeling of Heart (FIMH 2021) FIMH 2021-Functional Imaging and Modeling of Heart (FIMH 2021), Jun 2021, Stanford, CA, United States. pp.362-372, ⟨10.1007/978-3-030-78710-3_35⟩ Functional Imaging and Modeling of the Heart ISBN: 9783030787097 FIMH |
| DOI: | 10.1007/978-3-030-78710-3_35⟩ |
| Popis: | International audience; When combining cardiovascular magnetic resonance imaging (CMR) with pressure catheter measurements, the acquired imageand pressure data need to be synchronized in time. The time offset between the image and pressure data depends on a number of factors,such as the type and settings of the MR sequence, duration and shape of QRS complex or the type of catheter, and cannot be typically estimated beforehand. In the present work we propose using a biophysical heart model to synchronize the left ventricular (LV) pressure and volume (P-V) data. Ten patients, who underwent CMR and LV catheterization, were included. A biophysical model of reduced geometrical complexity with physiologically substantiated timing of each phase of the cardiac cycle was first adjusted to individual patients using basic morphological and functional indicators. The pressure and volume waveforms simulated by the patient-specific models were then used as templates to detect the time offset between the acquired ventricular pressure and volume waveforms. Time-varying ventricular elastance was derived from clinical data both as originally acquired as well as when time-synchronized, and normalized with respect to end-systolic time and maximum elastance value$E^N_\text {orig}(t)$, $E^N_\text {t-syn}(t)$, respectively). $E^N_\text {t-syn}(t)$ was significantly closer to the experimentally obtained $E^N_\text {exp}(t)$ published in the literature (p < 0.05, $L^2$ norm). The work concludes that the model-driven time-synchronization of P-V data obtained by catheter measurement and CMR allows to generate high quality P-V loops, which can then be used for clinical interpretation. |
| Databáze: | OpenAIRE |
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