The clinical results were similar, showing a significant increase in the mean transit time and a significant decrease in cerebral blood flow for diseased dogs. We used our software package to re-assess perfusion weighted images from two previous studies. These files constitute the input to our software package, which then calculates the PWI parameters. Third, the signal intensity curves were exported as a comma-separated-value file. Second, a ROI enhancement curve was generated for each ROI using a freely available PlugIn. In order to obtain the data needed for our algorithm, the following steps were performed: First, regions of interest (ROI) were drawn around different, previously reported, brain regions and the middle cerebral artery. In order to demonstrate the usage of our software package, we reviewed previously acquired perfusion-weighted images from a group of eight purpose-breed healthy beagle dogs and twelve client-owned dogs with idiopathic epilepsy. We hope that the free availability, in combination with the fact that the underlying algorithm is open and adaptable, makes it easier for scientists in veterinary medicine to use, compare and adapt perfusion-weighted imaging analysis. We develop an “R package” calculating mean transit time, cerebral blood flow and cerebral blood volume from data obtained with freely imaging software (OsiriX Light®). In order to address these issues, our aim is to deliver a free open source package for calculating quantitative perfusion parameters. Moreover, these algorithms are tuned for their usage in human medicine and often difficult to adapt to veterinary studies. In addition, a great variability concerning available programs makes it hard to compare results between different studies. One reason might be the typically high costs of the software packages for image analysis. Perfusion-weighted imaging is only scarcely used in veterinary medicine.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |