Fetal Assessment Suite - A web-based tool for fetal MRI processing and evaluation.

Motivation: The radiological assessment of fetal MRIs continues to face challenges related to access to care, timing of diagnosis, and associated costs. Goal(s): To develop a web application that assists with the radiological processing of fetal MRIs. Approach: We developed the Fetal Assessment Suite (FetAS), a web application that permits cloud-based use of our automatic fetal MRI processing algorithms, including artifact detection, motion correction, segmentations, biometric measurements, orientation and abnormality detection. Results: Users can upload DICOM datasets which are automatically deidentified, detect artifact severity, reduce motion artifacts, and utilize cloud-based computing on our previously developed segmentation and classification algorithms. Impact: FetAS provides clinicians with advanced fetal MRI diagnostic tools, enhancing efficiency and patient outcomes while supporting limited fetal radiological expertise. It also accelerates fetal MRI research by enabling systematic data extraction. FetAS is currently in a multisite clinical validation study.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0010
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fetal Assessment Suite - A web-based tool for fetal MRI processing and evaluation.

Dafna Sussman, Dylan Young, Logi Vidarsson, Matthias Wagner et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Fetal and Pediatric Neurological Disorders
article

Fetal Assessment Suite - A web-based tool for fetal MRI processing and evaluation.

Dafna Sussman, Dylan Young, Logi Vidarsson, Matthias Wagner, Adam Lim, Alejo Costanzo, Birgit Betina Ertl-Wagner, Michael A. Pereira, Yasmin Modarai
article en

Abstract

Motivation: The radiological assessment of fetal MRIs continues to face challenges related to access to care, timing of diagnosis, and associated costs. Goal(s): To develop a web application that assists with the radiological processing of fetal MRIs. Approach: We developed the Fetal Assessment Suite (FetAS), a web application that permits cloud-based use of our automatic fetal MRI processing algorithms, including artifact detection, motion correction, segmentations, biometric measurements, orientation and abnormality detection. Results: Users can upload DICOM datasets which are automatically deidentified, detect artifact severity, reduce motion artifacts, and utilize cloud-based computing on our previously developed segmentation and classification algorithms. Impact: FetAS provides clinicians with advanced fetal MRI diagnostic tools, enhancing efficiency and patient outcomes while supporting limited fetal radiological expertise. It also accelerates fetal MRI research by enabling systematic data extraction. FetAS is currently in a multisite clinical validation study.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Fetal and Pediatric Neurological Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.