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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