To ensure optimal data quality, images were reconstructed online and underwent online quality assurance (Weiskopf et al., 2007).
The PSNR values demonstrate that the proposed quantization technique provides an optimal quality in the processed images in the case of our application, where the quantized images appear to have a good subjective quality.
When the patient requirements asked by the developers of such scanners are met (e.g. the heartbeat of the patient has to be below 70 bpm for optimal image quality), the images obtained with these dedicated CT devices are suited for PVC of healthy (non-lesioned) cardiac tissue.
All images were of optimal quality and did not suffer from motion artifacts due to breathing or heart beating of the animal.
We have created a set of textured image patches with optimal quality to assess if the required classification is feasible under "idealistic" conditions.
Use of this best basis set-based multiwavelet packet transform in image processing applications should provide optimal quality results.
Inexperienced users may be less able to provide optimal image quality and need better image quality to be able to interpret the recordings compared with expert users, but we have no data to support this hypothesis.
However, the reconstruction settings within this protocol are not necessarily optimized for optimal image quality.
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