High-Frequency 4-Dimensional Ultrasound (4DUS): A Reliable Method for Assessing Murine Cardiac Function
Autor: | Jessica M. Ellis, Alycia G. Berman, Arvin H. Soepriatna, Frederick W. Damen, Kristiina L. Aasa, Craig J. Goergen, Stephen D. Buttars |
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Rok vydání: | 2018 |
Předmět: |
Cardiac function curve
cardiac disease 030204 cardiovascular system & hematology cine MRI 03 medical and health sciences 0302 clinical medicine Cardiac motion medicine Radiology Nuclear Medicine and imaging 10. No inequality Advances in Brief mouse 030304 developmental biology 0303 health sciences medicine.diagnostic_test business.industry ultrasound Disease progression Ultrasound Magnetic resonance imaging Cine mri Cardiac hypertrophy cardiovascular system business hypertrophy Preclinical imaging Biomedical engineering |
Zdroj: | Tomography |
ISSN: | 2379-1381 |
Popis: | In vivo imaging has provided a unique framework for studying pathological progression in various mouse models of cardiac disease. Although conventional short-axis motion-mode (SAX MM) ultrasound and cine magnetic resonance imaging (MRI) are two of the most prevalent strategies used for quantifying cardiac function, there are few notable limitations including imprecision, inaccuracy, and geometric assumptions with ultrasound, or large and costly systems with substantial infrastructure requirements with MRI. Here we present an automated 4-dimensional ultrasound (4DUS) technique that provides comparable information to cine MRI through spatiotemporally synced imaging of cardiac motion. Cardiac function metrics derived from SAX MM, cine MRI, and 4DUS data show close agreement between cine MRI and 4DUS but overestimations by SAX MM. The inclusion of a mouse model of cardiac hypertrophy further highlights the precision of 4DUS compared with that of SAX MM, with narrower groupings of cardiac metrics based on health status. Our findings suggest that murine 4DUS can be used as a reliable, accurate, and cost-effective technique for longitudinal studies of cardiac function and disease progression. |
Databáze: | OpenAIRE |
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