2012
DOI: 10.1109/tbme.2011.2174363
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High Time-Resolved Cardiac Functional Imaging Using Temporal Regularization for Small Animal on a Clinical 3T Scanner

Abstract: Abstract-Accurate assessment of mice cardiac function with magnetic resonance imaging is essential for longitudinal studies and for drug development related to cardiovascular diseases. Whereas dedicated small animal MR scanners are not readily available, it would be a great advantage to be able to perform cardiac assessment on clinical systems, in particular, in the context of translational research. However, mouse imaging remains challenging since it requires both high spatial and temporal resolutions, while … Show more

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Cited by 3 publications
(2 citation statements)
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“…Imaging was performed on a 3T MR scanner (Magnetom TIM Trio, Siemens Medical Solutions, Erlangen, Germany) with a dedicated two-channel mouse receiver coil (Rapid biomedical GmbH, Rimpar, Germany). A turboflash cine sequence assessed myocardial function: FOV 66 mm, in plane resolution 257 µm, slice thickness 1 mm, 5-7 consecutive slices to cover the whole left ventricle (no slice overlap), TE/TR effective 6.5/6.8 ms, flip angle 30, GRAPPA with acceleration factor 2, 3 averages, typical acquisi- (18). The sequences were ECG and respiratory gated.…”
Section: Magnetic Resonance Imaging (Mri)mentioning
confidence: 99%
“…Imaging was performed on a 3T MR scanner (Magnetom TIM Trio, Siemens Medical Solutions, Erlangen, Germany) with a dedicated two-channel mouse receiver coil (Rapid biomedical GmbH, Rimpar, Germany). A turboflash cine sequence assessed myocardial function: FOV 66 mm, in plane resolution 257 µm, slice thickness 1 mm, 5-7 consecutive slices to cover the whole left ventricle (no slice overlap), TE/TR effective 6.5/6.8 ms, flip angle 30, GRAPPA with acceleration factor 2, 3 averages, typical acquisi- (18). The sequences were ECG and respiratory gated.…”
Section: Magnetic Resonance Imaging (Mri)mentioning
confidence: 99%
“…In the past few years, efforts were pursued to reduce the acquisition times by employing image denoising strategies based on filtering or convoluted neural networks. For instance, denoising has been demonstrated to improve small rodent MRI of the heart ( Delattre et al, 2012 ; Tricot et al, 2017 ), the kidney ( de Senneville et al, 2020 ; Starke et al, 2021 ) and the central nervous system ( Wells et al, 2010 ; Kim et al, 2016 ; Wang et al, 2019 ) as well as spectroscopic analyses ( Simões et al, 2022 ). Even functional connectivity assessments may profit from denoising, as shown in a rat model of sporadic Alzheimer’s disease ( Diao et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%