@inproceedings{ae34f3bff979458c94e6b269ca9c970f,
title = "Topography-based feature extraction of the human placenta from prenatal MR images",
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.",
keywords = "Placenta, deformable registration, feature extraction, magnetic resonance imaging (MRI), placenta accreta spectrum, topography, uterus",
author = "James Huang and Maysam Shahedi and Do, {Quyen N.} and Yin Xi and Lewis, {Matthew A.} and Herrera, {Christina L.} and David Owen and Spong, {Catherine Y.} and Madhuranthakam, {Ananth J.} and Twickler, {Diane M.} and Baowei Fei",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; Medical Imaging 2023: Image Processing ; Conference date: 19-02-2023 Through 23-02-2023",
year = "2023",
doi = "10.1117/12.2653663",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Olivier Colliot and Ivana Isgum",
booktitle = "Medical Imaging 2023",
}