Surface Rendering of Cross-Sectional Imaging and Medical Illustration for Perinatal Planning in Conjoined Twins
Surface rendering of diagnostic imaging data can reveal hidden conditions with an almost life-like realism. However, early gestation images alone are often insufficient to accurately predict postnatal anatomy. Yet, time-sensitive decisions may have to be made before detailed imaging becomes possible...
Gespeichert in:
Veröffentlicht in: | Fetal diagnosis and therapy 2024-11, p.1-15 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Surface rendering of diagnostic imaging data can reveal hidden conditions with an almost life-like realism. However, early gestation images alone are often insufficient to accurately predict postnatal anatomy. Yet, time-sensitive decisions may have to be made before detailed imaging becomes possible. In this case series, we evaluate how combining medical illustration with cross-sectional diagnostic imaging can enhance the accuracy and clinical value of early visualization of conjoined twins.
Early gestation magnetic resonance imaging scans underwent semiautomated computerized post hoc manipulation to allow the medical illustrator to create the most effective images of the twins.
Four sets of conjoined twins were diagnosed before 17 weeks. Surface modeling allowed spatial manipulation of the twins to highlight their anatomic connections. Further volumetric enhancement and critical interpretation of the models assisted the illustrator in creating life-like, accurate images of the twins. These illustrations allowed parents to visualize the likely presentation at birth and helped the multidisciplinary team to plan postnatal management.
Surface rendering and surface modeling can be combined with medical illustration to create realistic, informative images of developing fetuses, using a level of detail that is tailored to the intended audience. This may be particularly useful in visualizing complex anomalies like conjoined twins. |
---|---|
ISSN: | 1015-3837 1421-9964 1421-9964 |
DOI: | 10.1159/000542700 |