Kainz, Bernhard, Malamateniou, Christina, Murgasova, Maria, Keraudren, Kevin, Rutherford, Mary, Hajnal, Joseph V. and Rueckert, Daniel (2014) Motion corrected 3D reconstruction of the fetal thorax from prenatal MRI. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. Lecture Notes in Computer Science, 8674 . Springer International Publishing, pp. 284-291. ISBN 978-3-319-10469-0 (doi:10.1007/978-3-319-10470-6_36)

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Abstract

In this paper we present a semi-automatic method for analysis of the fetal thorax in genuine three-dimensional volumes. After one initial click we localize the spine and accurately determine the volume of the fetal lung from high resolution volumetric images reconstructed from motion corrupted prenatal Magnetic Resonance Imaging (MRI). We compare the current state-of-the-art method of segmenting the lung in a slice-by-slice manner with the most recent multi-scan reconstruction methods. We use fast rotation invariant spherical harmonics image descriptors with Classification Forest ensemble learning methods to extract the spinal cord and show an efficient way to generate a segmentation prior for the fetal lung from this information for two different MRI field strengths. The spinal cord can be segmented with a DICE coefficient of 0.89 and the automatic lung segmentation has been evaluated with a DICE coefficient of 0.87. We evaluate our method on 29 fetuses with a gestational age (GA) between 20 and 38 weeks and show that our computed segmentations and the manual ground truth correlate well with the recorded values in literature.

Item Type:	Book Section
Additional Information:	17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II
Uncontrolled Keywords:	Artifacts*; Female; Humans; Image Enhancement/methods*; Imaging; Three-Dimensional/methods*; Lung/anatomy & histology*; Lung/embryology; Magnetic Resonance; Imaging/methods* Male Motion Movement Prenatal Diagnosis/methods* Reproducibility of Results Sensitivity and Specificity Thorax/anatomy & histology* Thorax/embryology
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Education, Health & Human Sciences Faculty of Education, Health & Human Sciences > School of Health Sciences (HEA)
Last Modified:	07 Oct 2021 21:03
URI:	http://gala.gre.ac.uk/id/eprint/16213

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