To evaluate the sociodemographic and exam-related characteristics associated with child life specialist intervention (CLSI) success or failure in acquiring non-sedated pediatric MRI Read More

Meeting name: SPR 2023 Annual Meeting & Postgraduate Course , 2023

Authors: Pena Trujillo Valeria, Gallo-bernal Sebastian, Weagle Kathryn, Victoria Teresa, Gee Michael

Keywords: Child Life Specialist, MRI, Non-sedated

To develop an AI-based automatic tool for Amniotic fluid volume (AFV) and fetal weight (FW) quantification that easily integrates into everyday diagnostic workflow Read More

Meeting name: SPR 2025 Annual Meeting , 2025

Authors: Pena Trujillo Valeria, Alkhadrawi Adham, Gallo Sebastian, Langarica Saul, Jaimes Camilo, Gee Michael, Do Synho, Victoria Teresa

Keywords: Fetal MRI, Artificial Intelligence, Diagnostic

To evaluate the usability, workflow impact, and communication effectiveness of an asynchronous electronic consultation (e-Consult) platform implemented within pediatric radiology department. The platform was assessed from the perspectives of both pediatric care providers and radiologists following its integration at a tertiary academic medical center. Read More

Meeting name: SPR 2026 Annual Meeting , 2026

Authors: Shoaib Navaira, Rigsby Devyn, Patrick Lenehan, Clark Kendall, Gallo Sebastian, Egan Natalie, Victoria Teresa, Gee Michael, Sagar Pallavi

Keywords: Consult, Workload, Quality Improvement

Computed tomography (CT) is widely used in pediatric thoracic imaging but involves ionizing radiation. Zero Echo Time (ZTE) MRI enables silent, free-breathing, non-contrast imaging of short-T2 tissues like lung and bone. We aimed to optimize a 4D ZTE MRI protocol for pediatric chest imaging and evaluate the impact of deep learning (DL) reconstruction on diagnostic image quality. Read More

Meeting name: SPR 2026 Annual Meeting , 2026

Authors: Shoaib Navaira, Gee Michael, Sagar Pallavi, Patrick Lenehan, Rigsby Devyn, Clark Kendall, Gallo Sebastian, Harrington Samantha, De Arcos Jose, Milshteyn Eugene, Victoria Teresa

Keywords: Chest MRI, Deep Learning, Free-Breathing MRI