Visualization of brain perfusion with harmonic gray scale and power Doppler technology - An animal pilot study

Citation
G. Seidel et al., Visualization of brain perfusion with harmonic gray scale and power Doppler technology - An animal pilot study, STROKE, 31(7), 2000, pp. 1728-1733
Citations number
18
Categorie Soggetti
Neurology,"Cardiovascular & Hematology Research
Journal title
STROKE
ISSN journal
00392499 → ACNP
Volume
31
Issue
7
Year of publication
2000
Pages
1728 - 1733
Database
ISI
SICI code
0039-2499(200007)31:7<1728:VOBPWH>2.0.ZU;2-T
Abstract
Background and Purpose-It is unclear which harmonic imaging mode (power Dop pler or gray-scale imaging) is superior and which measuring method is the m ost robust for the description of brain perfusion. Methods-We performed an animal study on 6 beagles through the intact skull using a SONGS 5500 device and Optison injected intravenously in 3 different doses (0.15, 0.3, and 0.6 mL). Intensity versus heart-cycle plots for the brain parenchyma and the basal cerebral arteries were generated to evaluate the peak increase (PI) from baseline and the area under the curve (AUC). Results-With harmonic gray-scale imaging, a homogeneous increase in echo co ntrast of the brain parenchyma was observed. The effect was dose dependent, resulting in a significant increase in PI as well as an insignificant incr ease of the AUC with 0.3 mt versus 0.15 mt contrast agent (P = 0.03 and P = 0.65, respectively; n = 5). With harmonic power Doppler, injection of the 3 different doses resulted in a nonsignificant increase in PI and AUC P = 0 .17, n = 6 for both. After normalization of the brain signal to the peak ar terial signal in individual dogs, a significant increase could be demonstra ted (P = 0.03 and P = 0.01, respectively; n = 6). The signal pattern of har monic power Doppler was inhomogeneous, with stronger signal increases in th e anterior part of the brain. Conclusions-Gray-scale imaging leads to a more homogeneous increase in echo contrast of the brain tissue and may be more suitable for displaying brain perfusion. The PI of the signal intensity seems the most robust parameter for the description of cerebral perfusion with both imaging modes under inv estigation.