Paper
17 March 2007 Perfusion analysis using a wide coverage flat-panel volume CT: feasibility study
M. Grasruck, R. Gupta M.D., B. Reichardt, E. Klotz, B. Schmidt, T. Flohr
Author Affiliations +
Abstract
We developed a Flat-panel detector based Volume CT (VCT) prototype scanner with large z-coverage. In that prototype scanner a Varian 4030CB a-Si flat-panel detector was mounted in a multi slice CT-gantry (Siemens Medical Solutions) which provides a 25 cm field of view with 18 cm z-coverage at isocenter. The large volume covered in one rotation can be used for visualization of complete organs of small animals, e.g. rabbits. By implementing a mode with continuous scanning, we are able to reconstruct the complete volume at any point in time during the propagation of a contrast bolus. Multiple volumetric reconstructions over time elucidate the first pass dynamics of a bolus of contrast resulting in 4-D angiography and potentially allowing whole organ perfusion analysis. We studied to which extent pixel based permeability and blood volume calculation with a modified Patlak approach was possible. Experimental validation was performed by imaging evolution of contrast bolus in New Zealand rabbits. Despite the short circulation time of a rabbit, the temporal resolution was sufficient to visually resolve various phases of the first pass of the contrast bolus. Perfusion imaging required substantial spatial smoothing but allowed a qualitative discrimination of different types of parenchyma in brain and liver. If a true quantitative analysis is possible, requires further studies.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Grasruck, R. Gupta M.D., B. Reichardt, E. Klotz, B. Schmidt, and T. Flohr "Perfusion analysis using a wide coverage flat-panel volume CT: feasibility study", Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 65101O (17 March 2007); https://doi.org/10.1117/12.708123
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Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
Sensors

Scanners

Spatial resolution

Liver

Brain

Computed tomography

Image quality

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