Topography-based feature extraction of the human placenta from prenatal MR images

James Huang; Maysam Shahedi; Quyen N. Do; Yin Xi; Matthew A. Lewis; Christina L. Herrera; David Owen; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei

doi:10.1117/12.2653663

3 April 2023 Topography-based feature extraction of the human placenta from prenatal MR images

James Huang, Maysam Shahedi, Quyen N. Do, Yin Xi, Matthew A. Lewis, Christina L. Herrera, David Owen, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei

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Proceedings Volume 12464, Medical Imaging 2023: Image Processing; 1246420 (2023) https://doi.org/10.1117/12.2653663
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Conference Poster

Abstract

Magnetic resonance imaging (MRI) has gained popularity in the field of prenatal imaging due to the ability to provide high quality images of soft tissue. In this paper, we presented a novel method for extracting different textural and morphological features of the placenta from MRI volumes using topographical mapping. We proposed polar and planar topographical mapping methods to produce common placental features from a unique point of observation. The features extracted from the images included the entire placenta surface, as well as the thickness, intensity, and entropy maps displayed in a convenient two-dimensional format. The topography-based images may be useful for clinical placental assessments as well as computer-assisted diagnosis, and prediction of potential pregnancy complications.

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James Huang, Maysam Shahedi, Quyen N. Do, Yin Xi, Matthew A. Lewis, Christina L. Herrera, David Owen, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, and Baowei Fei "Topography-based feature extraction of the human placenta from prenatal MR images", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 1246420 (3 April 2023); https://doi.org/10.1117/12.2653663

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