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- Title
EP01.17: Assessing the feasibility of three‐dimensional auto segmentation‐based standard plane detection for fetal brain malformations: a preliminary study.
- Authors
Kwon, G.; Jung, Y.; Kwon, H.; Kim, H.; Jeon, H.; Yoon, J.; Kim, S.; Kwon, J.
- Abstract
This article discusses a study that aimed to evaluate the performance of a proposed algorithm for detecting standard planes in fetal brain malformations using three-dimensional (3D) auto segmentation and anatomical knowledge-based plane navigation. The study used 29 3D volumes of the fetal head obtained from fetal brain malformation cases. The results showed that the algorithm achieved a success rate of 79.3% for 3D auto-segmentation and varying accuracy rates for detecting different standard planes. However, severe hydrocephalus, which has unclear internal structures, made plane detection impossible. The authors concluded that techniques are needed to acquire standard planes even in malformations with complicated internal structures.
- Subjects
FETAL brain; FETAL abnormalities; ANATOMICAL planes; CENTRAL nervous system; PRODUCTION standards; FETAL MRI
- Publication
Ultrasound in Obstetrics & Gynecology, 2024, Vol 64, p111
- ISSN
0960-7692
- Publication type
Article
- DOI
10.1002/uog.28032