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A method of finding scanner parameters that provides least point deviations is developed using least squares.
Artificial neural networks with back propagation algorithm coupled with an orthogonal array design were applied to the modeling and optimization of scanner parameters.
In addition to design, rather than using benchmark geometry to only assess the accuracy of the scanner, data obtained from a known geometric model are used to modify the scanner parameters to obtain optimal results.
Within this framework, we have determined the maximum resolution achievable for a given acquisition as a function of data statistics and scanner parameters, like the size of the crystals or the inter-crystal scatter.
Orthogonal design was utilized to design the experimental protocol, in which scanner parameters including dot per inch (dpi), brightness (btn), contrast (cnt), and mixed gamma (mgm) were varied simultaneously.
(Note that in this figure the images belong to two different patients) Open image in new window Fig. 28 Two types of protocols used based on MDCT scanner parameters: Two scout views corresponding to a 64-slice scanner (a) and 320- slice scanner (b) demonstrate the approach to data acquisition.
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MR scanning was performed using a 3.0 T MRI scanner (scanning parameters were the same as described above) using the specific magnetic resonance coil for animals.
It is shown to be an effective means to reduce the correlation between the rangefinder offset and the scanner position parameters.
We recorded a total of four fMRI data series from two normal subjects (subject 1, axially acquired; subject 2, coronally acquired) performing a simple visual event-related task and a water phantom with the same fMRI scanner imaging parameters.
To obtain quantitative PET images that can be used to determine the scanner performance parameters, the acquired PET data need to be corrected for attenuation of the photons caused by the scanned object as well as by the attenuating hardware components of the system [10].
These experiments were done with a clinical scanner using parameters that could be used for patients.
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