Real-time diameter of the fetal aorta from ultrasound

Neural Computing & Applications
Nicoló SavioliPablo Lamata

Abstract

The automatic analysis of ultrasound sequences can substantially improve the efficiency of clinical diagnosis. This article presents an attempt to automate the challenging task of measuring the vascular diameter of the fetal abdominal aorta from ultrasound images. We propose a neural network architecture consisting of three blocks: a convolutional neural network (CNN) for the extraction of imaging features, a convolution gated recurrent unit (C-GRU) for exploiting the temporal redundancy of the signal, and a regularized loss function, called CyclicLoss, to impose our prior knowledge about the periodicity of the observed signal. The solution is investigated with a cohort of 25 ultrasound sequences acquired during the third-trimester pregnancy check, and with 1000 synthetic sequences. In the extraction of features, it is shown that a shallow CNN outperforms two other deep CNNs with both the real and synthetic cohorts, suggesting that echocardiographic features are optimally captured by a reduced number of CNN layers. The proposed architecture, working with the shallow CNN, reaches an accuracy substantially superior to previously reported methods, providing an average reduction of the mean squared error from 0.31 (state-of-the-art...Continue Reading

References

Nov 11, 2003·IEEE Transactions on Medical Imaging·Alejandro F FrangiPablo Lamata
Apr 27, 2005·Lancet·Michael R SkiltonDavid S Celermajer
Feb 20, 2010·Obstetrics and Gynecology·Erich CosmiVincenzo Zanardo
May 19, 2010·Computer Methods and Programs in Biomedicine·Filippo MolinariJasjit S Suri
Jan 15, 2013·Pediatric Research·Silvia SookoianCarlos J Pirola
Oct 7, 2014·Medical & Biological Engineering & Computing·Christos P Loizou
Oct 9, 2014·Physics in Medicine and Biology·E VeroneseE Grisan
Dec 3, 2014·Atherosclerosis·Silvia VisentinErich Cosmi
Jan 7, 2016·Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society·Giacomo TarroniEnrico Grisan
Aug 5, 2017·Medical Image Analysis·Geert LitjensClara I Sánchez
Apr 20, 2018·BJOG : an International Journal of Obstetrics and Gynaecology·B Valenzuela-AlcarazF Crispi
Sep 27, 2018·Ultraschall in der Medizin : Organ der Deutschen Gesellschaft für Ultraschall in der Medizin, [der] Österreichischen Gesellschaft für Ultraschall in der Medizin, [der] Schweizerischen Gesellschaft für Ultraschall in Medizin und Biologie·Silvia VisentinErich Cosmi

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Methods Mentioned

BETA
features extraction

Software Mentioned

InceptionV4
AlexNet
CyclicLoss
Densenet121
GRU
DenseNets

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