@inproceedings{16640ae2d7b5485d835ee52bb89121dd,
title = "Effective Imaging Window Analysis for Wearable Ultrasound Device Using Fetal MRI",
abstract = "Wearable ultrasound devices can play a key role and enable revolutionary workflows in fetal monitoring applications in both antepartum and intrapartum phase of pregnancy. However, the fundamental question for developing wearable fetal monitoring solutions is whether the sensor is capable of performing continuous monitoring while being placed at a fixed location with minimum instruction to the user. Therefore, in this work, we developed a validation workflow using fetal MRI images to virtually place the wearable ultrasound scanner and examine the feasible placement window given the scanner design. This allows any scanner design being validated and optimized even before production. We showed that a scanner with a cone-shaped field-of-view with 18cm imaging depth can successfully monitor both the key heart and brain features throughout the critical period of delivery for fetal hypoxic-ischemic encephalopathy detection.",
keywords = "Scanner Design, Simulation for scanner placement, Wearable ultrasound",
author = "Baichuan Jiang and Keshuai Xu and Yunpu Zhang and Ernest Graham and Taylor, \{Russell H.\} and Mathias Unberath and Jeeun Kang and Emad Boctor",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 ; Conference date: 22-09-2024 Through 26-09-2024",
year = "2024",
doi = "10.1109/UFFC-JS60046.2024.10793834",
language = "English (US)",
series = "IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 - Proceedings",
}