Academic Journal
Complete spatiotemporal quantification of cardiac motion in mice through multi-view magnetic resonance imaging and super-resolution reconstruction.
| Τίτλος: | Complete spatiotemporal quantification of cardiac motion in mice through multi-view magnetic resonance imaging and super-resolution reconstruction. |
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| Συγγραφείς: | Mukherjee T; Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA., Keshavarzian M; Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA., Fugate EM; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA., Naeini V; Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA., Darwish A; Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, 77030, USA., Ohayon J; Savoie Mont-Blanc University, Polytech Annecy-Chambéry, Le Bourget du Lac, France.; Laboratory TIMC-CNRS, UMR 5525, Grenoble-Alpes University, Grenoble, France., Myers KJ; Hagler Institute for Advanced Study, Texas A&M University, College Station, TX, 77843, USA., Shah DJ; Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, 77030, USA., Lindquist D; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA., Sadayappan S; Department of Internal Medicine, Division of Cardiovascular Health and Disease, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA., Pettigrew RI; School of Engineering Medicine, Texas A&M University, Houston, TX, 77030, USA.; Department of Cardiovascular Sciences, Houston Methodist Academic Institute, Houston, TX, 77030, USA., Avazmohammadi R; Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA. rezaavaz@tamu.edu.; Department of Cardiovascular Sciences, Houston Methodist Academic Institute, Houston, TX, 77030, USA. rezaavaz@tamu.edu.; J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, TX, 77843, USA. rezaavaz@tamu.edu. |
| Πηγή: | Scientific reports [Sci Rep] 2025 Aug 13; Vol. 15 (1), pp. 29696. Date of Electronic Publication: 2025 Aug 13. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : Nature Publishing Group, copyright 2011- |
| Ιατρικοί όροι (MeSH): | Heart*/diagnostic imaging , Heart*/physiology , Magnetic Resonance Imaging, Cine*/methods , Image Processing, Computer-Assisted*/methods , Magnetic Resonance Imaging*/methods, Imaging, Three-Dimensional/methods ; Animals ; Mice ; Spatio-Temporal Analysis ; Motion ; Reproducibility of Results ; Male |
| Περίληψη: | Background: Structural indices of cardiac diseases estimated via cardiac magnetic resonance imaging (CMR) have shown promise as early-stage markers. Despite the growing popularity of CMR-based myocardial strain calculations, measures of complete spatiotemporal strains (i.e., three-dimensional strains over the cardiac cycle) remain elusive, especially in mice. The high metabolic rates and rapid cardiac motion affect high-resolution imaging, thus compromising strain accuracy. We hypothesize that a super-resolution reconstruction (SRR) framework that combines low-resolution scans at multiple orientations will enhance the reliability of complete spatiotemporal strains in mice. Methods: Multi-view cine CMR comprising short- and long-axis (SA and LA) fast low angle shot scans were obtained in a cohort of wild-type-mice (n = 5) and a diabetic mouse (n = 1). The "SRR in CMR" approach, consisting of tissue-class -specific scattered data interpolation, was used to generate full four-dimensional (4D) images of high spatial resolution. Image registration using the diffeomorphic demons algorithm was applied to quantify complete spatiotemporal motion in terms of 4D myocardial strains. The effects of SRR on CMR quality were verified in all mice through image metrics, namely, root mean squared error (MSE) and structural similarity index. Strain calculations were validated against an in silico heart model phantom through MSE analysis, followed by investigations of strain accuracy and reproducibility for all mice using MSE and coefficient of variation analyses. Results: SRR-derived strains were validated against a kinematic benchmark established through the in-silico heart model phantom. Improvements in global strain accuracy were confirmed in both in-plane (radial and circumferential) and through-plane (longitudinal) strains. Mouse-specific SRR provided near isotropic spatial resolution, high structural similarity, and minimal loss of contrast, which led to overall improvements in strain reproducibility and intra-cohort homogeneity in wild-type mice, with global longitudinal strain lying of ≈-14%. Conclusions: A comprehensive methodology was presented to quantify complete and reproducible myocardial deformation, aiding in the much-needed standardization of complete spatiotemporal strain analysis in small animals. (© 2025. The Author(s).) |
| Competing Interests: | Declarations. Competing interests: S. Sadayappan provides consulting and collaborative research studies to the Leducq Foundation (CUREPLAN), Red Saree Inc., Greater Cincinnati Tamil Sangam, Novo Nordisk, Pfizer, AavantiBio, AstraZeneca, MyoKardia, Merck and Amgen, but such work is unrelated to the content of this article. No other authors declare any conflicts of interest. |
| Σχόλια: | Update of: bioRxiv. 2024 Jun 03:2024.05.31.596322. doi: 10.1101/2024.05.31.596322.. (PMID: 38895261) |
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| Grant Information: | 24PRE1240097 American Heart Association; R01 HL168368 United States HL NHLBI NIH HHS; R00 HL138288 United States HL NHLBI NIH HHS; ANR-19-CE45-0020 Agence Nationale de la Recherche; R00HL138288 United States HL NHLBI NIH HHS |
| Contributed Indexing: | Keywords: Diagnostic and prognostic tool; In-silico phantom; Small animal cardiac magnetic resonance; Strain estimation; Super-resolution reconstruction |
| Entry Date(s): | Date Created: 20250813 Date Completed: 20250826 Latest Revision: 20250826 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC12350669 |
| DOI: | 10.1038/s41598-025-11766-5 |
| PMID: | 40804353 |
| Βάση Δεδομένων: | MEDLINE |
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