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Abstract #0714

Automatic fetal ocular measurements in MRI

Netanell Avisdris1,2, Daphna Link-Sourani2, Liat Ben-Sira3,4,5, Leo Joskowicz1, Elka Miller6, and Dafna Ben-Bashat2,3,5
1School of computer science and engineering, Hebrew University of Jerusalem, Jerusalem, Israel, 2Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 3Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 4Division of Pediatric Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 5Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, 6Medical Imaging, Children's Hospital of Eastern Ontario, University of Ottawa, Ottawa, ON, Canada

The aim of this study was to establish a fully automatic method for ocular measurements from in-vivo fetal brain MRI. Axial brain MRI of 47 fetuses (29-38 weeks’ gestational age) were included. The method includes fetal brain ROI computation and fetal eye segmentation using deep learning, followed by geometric algorithms for 2D and 3D measurements of the binocular (BOD), interocular (IOD), and ocular (OD) diameters. The performance of the 2D measurements was found to be preferable over 3D, with <1mm deviation from manual expert neuro-radiologist annotations. This is the first fully automatic method for fetal ocular biometric measurements in MRI.

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