David F A Lloyd1,2, Bernhard Kainz3, Joshua F P van Amerom1, Kuberan Pushparajah1,2, John M Simpson2, Vita Zidere2, Owen Miller2, Gurleen Sharland2, Tong Zhang1, Maelene Lohezic1, Joanne Allsop1, Matthew Fox1, Christina Malamateniou1, Mary Rutherford1, Jo Hajnal1, and Reza Razavi1,2
1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2Evelina Children's Hospital, London, United Kingdom, 3Department of Computing (BioMedIA), Imperial College London, London, United Kingdom
Synopsis
The diagnosis of potentially
life-threatening vascular abnormalities in the fetus can be difficult with
ultrasound alone. MRI is one of the few safe alternative imaging modalities in pregnancy;
however to date it has been limited by unpredictable fetal and maternal motion
during acquisition. We present six antenatal cases, four with important structural
congenital heart disease, in which we employed a novel algorithm for motion-corrected
slice-volume registration, producing a navigable 3D volume of the fetal thoracic
vasculature. The anatomical findings in each case were then correlated to fetal
echocardiographic findings, and finally displayed as interactive surface rendered
models.Purpose
The antenatal diagnosis of
important vascular abnormalities allows for both better
informed parental counselling and the planned provision of potentially
life-saving care after birth. The fetal vasculature can however be difficult to
visualise with ultrasound,
1 and the prenatal diagnosis of conditions such as
coarctation of the aorta may be based solely on subtle anatomical markers which may be difficult to detect before birth.
2 MRI is one of the few alternative imaging
techniques which is safe to use in pregnancy,
3 but it has been limited technically by
unpredictable gross fetal and maternal movements.
4 We sought to apply a novel motion-corrected
slice-to-volume registration algorithm to antenatally acquired MRI data
from fetuses with and without congenital heart disease, in an attempt to
improve
in utero visualisation of the
thoracic vasculature.
Methods
Multi-slice
MRI sequences were planned to obtain full coverage of the fetal thorax in
multiple orthogonal orientations, using overlapping 2D single-shot fast spin echo sequences (ssFSE)
(Philips, 1.5T, TR = 15000ms, TE = 80-100ms, flip angle = 90 degrees, field of
view = 350 x 350mm, voxel size = 1.4 x 1.4 mm, slice thickness = 2.5mm). The
resulting motion-corrupted stacks of ssFSE slices (figure 1A) were processed
using a novel parallel super-resolution algorithm for slice-to-volume
registration.
5,6 This uses an iterative loop to optimise 2D/3D
registration based on image intensities, incorporating edge-preserving
anisotropic diffusion filtering and automatic exclusion of outlier data. To confirm anatomical accuracy, the resulting 3D
volume was compared to fetal echocardiographic data by a clinician with
experience in fetal cardiology. A surface rendering of the fetal vessels was then produced from the
inverted dataset using
Osirix™, an
open-source DICOM reader. Final cropping and shading was performed using
MeshLab (Visual Computing Lab - ISTI – CNR, meshlab.sourceforge.net).
Results
MRI
data was acquired in two normal fetuses (at 38 and 39 weeks) and
four fetuses with congenital heart disease (coarctation of the aorta at 36
weeks, hypoplastic left heart syndrome at 31 weeks, tetralogy of
Fallot at 23 weeks and rightward cardiac axis with bilateral SVCs at 35 weeks).
Motion-corrected super-resolution 3D volumes were
produced for each patient with an isotropic voxel size between 0.40 and 0.55mm,
which could be
navigated in three dimensions using standard multi-planar reconstruction
software (
Osirix™, figure 1B). In each case, the
reconstructed images accurately represented the general vascular anatomy in
terms of connections and spatial relationships within the thorax when compared
to fetal echocardiography, as demonstrated in figure 2. Surface renderings of the vascular data
are shown in figures 3 and 4.
Discussion
Many
forms of congenital heart disease are associated with important vascular abnormalities,
which can be life-threatening in the immediate postnatal period if undetected. By
combining prenatal MRI with advanced motion correction algorithms, we have
demonstrated a novel and robust method of obtaining detailed imaging of the fetal
vasculature whilst compensating for fetal and
maternal motion - previously a major limiting factor to more widespread
adoption of prenatal MRI.
4 In conjunction with conventional modalities, these advanced techniques offer the potential both to improve the antenatal
detection of important congenital vascular lesions, and to enhance our understanding of this complex group of abnormalities.
Conclusion
We have demonstrated a novel technique for
imaging the fetal vasculature, which offers a level of detail that is yet to
be described in the literature. Further work is ongoing to validate these
techniques and establish their prognostic value when combined with established
antenatal imaging modalities.
Acknowledgements
This
work was supported by the iFind Project (Wellcome Trust IEH Award 102431). In
addition, the authors acknowledge financial support from the Department of
Health via the National Institute for Health Research (NIHR) comprehensive
Biomedical Research Centre award to Guy's & St Thomas' NHS Foundation Trust
in partnership with King's College London and King’s College Hospital NHS
Foundation Trust.References
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