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This process involves the processing of CT slice images by selecting the background air with a 'flood fill' tool in 3D.
As part of the CRISP study we have developed a fully automated system (RAPID) for processing of CT Perfusion (CTP) images that generates brain maps of the ischemic core and penumbra.
During the first part, the investigators propose to develop a fully automated system (RAPID) for processing of CT Perfusion (CTP) images that will generate brain maps of the ischemic core and penumbra.
In this paper, we focus on automatic processing of CT brain images to segment and identify the ventricular systems.
When available, truncation corrections algorithms may be applied during image reconstruction (and/or during processing of CT used for attenuation correction).
The high-level description of our processing of CT images is illustrated in Figure 2. The first step is to identify the ideal midline of the brain, as well as the angle of rotation of the skull versus the midline for calibration.
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Image processing of CT-data was undertaken with VGStudio MAX 2.0.1 (Volume Graphics, Germany).
Automatic processing of these CT brain scans could speed up the decision making process, lower the cost of healthcare, and reduce the chance of human error.
Automating the processing of pelvic CT scans could impact decision accuracy, decrease the time for decision making, and reduce health care cost.
Further image processing of the CT data was performed with ImageJ (http://rsbweb.nih.gov/ij/index.html) and a home-made software "slice" (http://www-bl20.jp/slice/indexslice/index.html).html
By 3D image reconstruction, processing and analysis of CT images, the curves of fiber orientation distribution (FOD) and fiber spacing distribution (FSD) in cementitious composites can be obtained, and the orientation factor and dispersion coefficient of fiber can also be determined.
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