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Abstract #2223

Segmentation and Visualization of Brain and Lung volumes in fetal MRI using Active Contours and Morphological Operators

shivaprasad ashok chikop 1 , sneha Shiradon 1 , Pavan Poojar 1 , Arush Honnedevasthana Arun 1 , Madhu Sudan Muguru Prabhuswamy 1 , Sona Pungavkar 2 , and Sairam Geethanath 1

1 Medical Imaging Research Centre, Dayananda Sagar Institutions, bangalore, Karnataka, India, 2 Department of Radiology, Dr.Balabhai Nanavathi Hospital, Mumbai, Maharastra, India

Computation of fetal brain and lung volume significantly aid in biomarker determination to monitor fetal development for diagnosis and/or prognosis of fetal pathologies. The algorithm does not depend on priors based on intensity and can be used to perform segmentation on T1/T2 contrast. The result shows significant correlation between automated brain, semi-automated lung segmentation with corresponding manual segmentations as quantified by number of segmentation pixels and qualitatively through segmentation results visualized as 3D volumes. Current and future work includes optimization of brain and lung volume visualization for more datasets and obtaining biomarkers to distinguish normal and abnormal fetal pathology.

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