Bauer, A. and Bogdahn, Ulrich and Haase, A. and Schlief, R. (1998) Three-dimensional echo-enhanced transcranial Doppler ultrasound. RADIOLOGE, 38 (5). pp. 394-398. ISSN 0033-832X,
Full text not available from this repository.Abstract
Echo-enhancing agents improve the signal intensity of transcranial Doppler signa Is, enabling a novel approach of three-dimensional transcranial vascular imaging by Doppler ultrasound. The basic principle, system requirements and early clinical results with a custom built system are described. Transcranial color Doppler imaging was performed through the temporal bone acoustic window. During IV administration of the transpulmonary stable, galactose-based echo enhancer Levovist(R) (Schering) the video output of the ultrasound scanner was digitized and the spatial position of the recorded frames was simultaneously registered using a mechanical position sensor. After automatic segmentation of the color information,the 3D datasets were reconstructed offline using a Unix-based workstation (Silicon Graphics). Visualization was achieved by maximum intensity projection or surface visualization techniques. Administration of Levovist(R) resulted in good enhancement of the vascular Doppler signal intensity, enabling acquisition of a 3D dataset of the complete circle of Willis with an imaging win dow of approximately 3-5 min for one IV injection. The vascularity of tumors could be recorded as a 3D dataset and further analyzed. The power Doppler technique with echo enhancement proved a valuable tool for 3D dataset recording. 3D datasets clearly facilitated the diagnosis of the vascular anatomy and lesion Vascularity and provided additional information on localization of feeders, vascular displacement and extent of tumor vascularity.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | REAL-TIME SONOGRAPHY; PHASE-2; three-dimensional imaging; ultrasound contrast agents; transcranial duplex sonography; power Doppler; brain tumors |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Neurologie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 20 Jun 2023 10:54 |
| Last Modified: | 20 Jun 2023 10:54 |
| URI: | https://pred.uni-regensburg.de/id/eprint/49877 |
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