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F74Live 3D – dynamic prenatal three‐dimensional‐sonography
Author(s) -
Brauer M.,
Dudenhausen J. W.
Publication year - 2000
Publication title -
ultrasound in obstetrics and gynecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.202
H-Index - 141
eISSN - 1469-0705
pISSN - 0960-7692
DOI - 10.1046/j.1469-0705.2000.00015-1-74.x
Subject(s) - visualization , computer vision , 3d ultrasound , rendering (computer graphics) , artificial intelligence , medicine , volume rendering , ultrasound , computer science , computer graphics (images) , radiology
Background 3D‐Ultrasound (3D‐US) was lacking a mode of dynamic visualisation in the past. Recently a new method for dynamic 3D‐Sonography (Live‐3D) was developed. Live‐3D was evaluated concerning feasability and relevance in fetal sonography. The results will be demonstrated by short video sequences. Method The technical principle of Live‐3D is based on the Voluson‐technique, developed by Kretztechnik (Zipf/Austria). Special modifications enable the machine to perform a continuous serial volume‐scanning and image‐rendering. The result is a dynamic visualisation of tomographic images or surface renderings with a maximum speed of 3 images/second. Recent improvements even permit image‐frequencies up to 12 images/second. Results Live‐3D allows a 3‐dimensional visualisation of the moving fetus. Low image‐frequencies cause certain limitations but this problem has been improved tremendously and will be completely solved in near future. A still remaining problem is the lack of a selective elimination of artefacts. Conclusions Integrating motion into 3D‐US the development of Live‐3D is comparable to the step from Compound‐Scan to Realtime‐B‐Mode. Fetal behaviour (e.g. mimic) can be visualized 3‐dimensionally, which might be useful for fetal assessment. Furthermore realtime‐3‐dimensional‐guidance will allow a more precise performance of invasive procedures. Further modifications such as the acceleration of image‐frequencies and the improvement of the artefact‐elimination are necessary to optimize the method.