CT Brain Perfusion
Canon Medical has expanded its CT Brain Perfusion*1 offering from 2D perfusion to the development of delay insensitive methods, semi-automated processing, full 4D scanning, and workflow enhancements to deliver impactful images. CT Brain Perfusion harnesses the power of Vitrea Advanced Visualization and is a convenient method of assessing perfusion abnormalities within the brain. Concurrent display of the perfusion maps aid in the assessment of the type and extent of abnormal cerebral blood flow.
Key Benefits
- Streamlined workflow with automatic curve-fitting, midline correction, motion correction and region of interest templating
- Vitrea software identifies the artery and vein, then computes five parametric maps with quantitative results: time-to-maximum (Tmax*2), mean transit time (MTT), regional cerebral blood flow (rCBF), regional cerebral blood volume (rCBV) and time to peak (TTP)
- Summary maps communicate results of a CT perfusion exam and provide tissue classification
- Bayesian processing is available in CT Brain Perfusion in addition to our SVD*3 and SVD+ options. The Bayesian method excels at processing low signal-to-noise ratio (SNR) images that help provide clarity on parametric images used to compute summary maps. 1,2
*2 Tmax mapping is not available in 2D Brain Perfusion cases.
*3 SVD is available in 2D only.
1 Timothe Boutelier, Koshuke Kudo, Fabrice Pautot, and Makoto Sasaki. “Bayesian Hemodynamic Parameter Estimation by Bolus Tracking Perfusion Weighted Imaging. Part I: Theory and Preliminary Results”. 06 March 2012.
2 Anke Wouters, Søren Christensen, Matus Straka, Michael Mlynash, John Liggins, Roland Bammer, Vincent Thijs, Robin Lemmens, Gregory W. Albers and Maarten G. Lansberg. “A Comparison of Relative Time to Peak and Tmax for Mismatch-Based Patient Selection”. 13 October 2007.
Improved diagnostic confidence with Bayesian-based CT perfusion in acute stroke
“Bayesian-based perfusion significantly improves the diagnostic confidence in our primary stroke center. With better image quality, perfusion deficits are more easily depicted, also by non-experts.”
Ewoud Smit MD, PhD
Radiologist Radboud University Medical Center
Nijmegen, the Netherlands
“Bayesian-based perfusion significantly improves the diagnostic confidence in our primary stroke center. With better image quality, perfusion deficits are more easily depicted, also by non-experts.”
Ewoud Smit MD, PhD
Radiologist Radboud University Medical Center
Nijmegen, the Netherlands
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