Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population

Author:

Orii Makoto,Sone Misato,Osaki Takeshi,Kikuchi Kei,Sugawara Tsuyoshi,Zhu Xucheng,Janich Martin A.,Nozaki Atsushi,Yoshioka Kunihiro

Publisher

Springer Science and Business Media LLC

Reference23 articles.

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2. Varga-Szemes A, Muscogiuri G, Schoepf UJ, Wichmann JL, Suranyi P, De Cecco CN, Cannaò PM, Renker M, Mangold S, Fox MA, Ruzsics B (2016) Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method. Eur Radiol 26:1503–1511. https://doi.org/10.1007/s00330-015-3952-4

3. Goebel J, Nensa F, Schemuth HP, Maderwald S, Gratz M, Quick HH, Schlosser T, Nassenstein K (2016) Compressed sensing cine imaging with high spatial or high temporal resolution for analysis of left ventricular function. J Magn Reson Imaging 44:366–374. https://doi.org/10.1002/jmri.25162

4. Camargo GC, Erthal F, Sabioni L, Penna F, Strecker R, Schmidt M, Zenge MO, Lima RS, Gottlieb I (2017) Real-time cardiac magnetic resonance cine imaging with sparse sampling and iterative reconstruction for left-ventricular measures: comparison with gold-standard segmented steady-state free precession. Magn Reson Imaging 38:138–144. https://doi.org/10.1016/j.mri.2017.01.002

5. Atweh LA, Dodd NA, Krishnamurthy R, Pednekar A, Chu ZD, Krishnamurthy R (2016) Comparison of two single-breath-held 3-D acquisitions with multi-breath-held 2-D cine steady-state free precession MRI acquisition in children with single ventricles. Pediatr Radiol 46:637–645. https://doi.org/10.1007/s00247-015-3531-5

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