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Abstract #2841

Volumetric Mesh-based Mapping of the Placenta to a Canonical Template for Visualization of Regional Anatomy and Function

S. Mazdak Abulnaga1,2, Esra Abaci Turk3, Jie Luo4, Justin Solomon1,2, Lawrence L. Wald5,6,7, Elfar Adalsteinsson1,7, Carolina Bibbo8, Julian N. Robinson8, William H. Barth, Jr.9, Drucilla J. Roberts10, P. Ellen Grant3, and Polina Golland1,2

1Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States, 3Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, 4School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 5Radiology, Harvard Medical School, Boston, MA, United States, 6Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 7Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 8Maternal and Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 9Maternal and Fetal Medicine, Obstetrics & Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 10Obstetrics and Perinatal Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States

We demonstrate a volumetric mesh-based mapping of the placenta to a canonical template that resembles the better-known ex vivo shape. Placental shape presents significant challenges for visualization of the associated signals. No standard framework exists for visualizing the organ in vivo. Our approach is to flatten a volumetric mesh that captures subject-specific placental shape while penalizing local distortion to maintain anatomical fidelity. The resulting algorithm produces an invertible transformation to the canonical template. To demonstrate the promise of the proposed approach, we present visualization of BOLD MRI intensity and oxygenation measures after mapping them to a flattened placenta template.

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