Consistent reconstruction of 4D fetal heart ultrasound images to cope with fetal motion
- 193 Downloads
4D ultrasound imaging of the fetal heart relies on reconstructions from B-mode images. In the presence of fetal motion, current approaches suffer from artifacts, which are unrecoverable for single sweeps.
We propose to use many sweeps and exploit the resulting redundancy to automatically recover from motion by reconstructing a 4D image which is consistent in phase, space, and time. An interactive visualization framework to view animated ultrasound slices from 4D reconstructions on arbitrary planes was developed using a magnetically tracked mock probe.
We first quantified the performance of 10 4D reconstruction formulations on simulated data. Reconstructions of 14 in vivo sequences by a baseline, the current state-of-the-art, and the proposed approach were then visually ranked with respect to temporal quality on orthogonal views. Rankings from 5 observers showed that the proposed 4D reconstruction approach significantly improves temporal image quality in comparison with the baseline. The 4D reconstructions of the baseline and the proposed methods were then inspected interactively for accessibility to clinically important views and rated for their clinical usefulness by an ultrasound specialist in obstetrics and gynecology. The reconstructions by the proposed method were rated as ‘very useful’ in 71% and were statistically significantly more useful than the baseline reconstructions.
Multi-sweep fetal heart ultrasound acquisitions in combination with consistent 4D image reconstruction improves quality as well as clinical usefulness of the resulting 4D images in the presence of fetal motion.
KeywordsUltrasound Fetal heart Reconstruction
Funding wa provided by the Swiss Commission for Technology and Innovation (#16925 PFLS-LS) and the Swiss National Science Foundation (#150620).
Compliance with ethical standards
Conflict of interest
All authors declare no conflict of interest.
Human and animal rights
All procedures performed in studies involving human participants were in accordance with the ethical standards of the provincial ethics committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in the study.
- 6.Kainz B, Alansary A, Malamateniou C, Keraudren K, Rutherford M, Hajnal JV, Rueckert D (2015) Flexible reconstruction and correction of unpredictable motion from stacks of 2D images. In: Navab N, Hornegger J, Wells W, Frangi A (eds) Medical image computing and computer-assisted intervention—MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science, vol 9350. Springer, Cham, pp 555–562. doi: 10.1007/978-3-319-24571-3_66
- 9.Mattausch O, Goksel O, Orcun (2016) Monte-Carlo ray-tracing for realistic interactive ultrasound simulation. In: Bruckner, Preim B, Vilanova A, Hauser H, Hennemuth A, Lundervold A (eds), Eurographics workshop on visual computing for biology and medicine (vcbm.20161285), The Eurographics Association. doi: 10.2312/vcbm.20161285
- 11.Odille F, Bustin A, Chen B, Vuissoz PA, Felblinger J (2015) Motion-corrected, super-resolution reconstruction for high-resolution 3D cardiac cine MRI. In: Navab N, Hornegger J, Wells W, Frangi A (eds) Medical image computing and computer-assisted intervention—MICCAI 2015. Lecture Notes in Computer Science, vol 9351. Springer, Cham, pp 435–442. doi: 10.1007/978-3-319-24574-4_52
- 12.Peterfi I, Kellenyi L, Szilagyi A (2014) Noninvasive recording of true-to-form fetal ECG during the third trimester of pregnancy. Obstet Gynecol Int 2014. Article ID 285636Google Scholar
- 13.Schoisswohl A, Falkensammer P (2005) Method and apparatus for obtaining a volumetric scan of a periodically moving object. US Patent 6,966,878Google Scholar
- 14.Tanner C, Flach B, Eggenberger C, Mattausch O, Bajka M, Goksel O (2016) 4D Reconstruction of fetal heart ultrasound images in presence of fetal motion. In: Ourselin S, Joskowicz L, Sabuncu M, Unal G, Wells W (eds) Medical image computing and computer-assisted intervention—MICCAI 2016. MICCAI 2016. Lecture Notes in Computer Science, vol 9900. Springer, Cham, pp 539–601. doi: 10.1007/978-3-319-46720-7_69