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This does not, however, guarantee that it will function normally and not interfere with the correct operation of the MR imaging equipment, with degradation of image quality.
Because large aberrations are mainly created at the superficial folds, the degradation of image quality varies significantly depending on the imaged region, as evidenced on Fig. 3(f) and (g), showing a XZ reslice of the SHG/2PEF images of Fig. 3(a)–(d) and a 3D reconstruction of the same data, respectively.
It causes degradation of image quality.
In fact, for MRI it is fast enough for real-time reconstruction (the images are reconstructed as fast as they are acquired) with only slight degradation of image quality; for CT our reconstruction speed is slightly slower than required for real-time reconstruction.
The result is a reduction of the accuracy of range measurements, as well as a degradation of image contrast.
In this study, the authors evaluated a form of adaptive block cosine transform coding, a new compression technique that allows considerable compression of digital radiographs with minimal degradation of image quality.
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We calculated the degradation of images with SSIM and JND quality measures with different watermarking algorithms in spatial, wavelet and, DCT domains.
By expanding the application of motion control beyond highly specific, and potentially self-selective, research cohorts to general, non-specific imaging populations, we could address and ease the concern of whether gating will cause the potential degradation of images and subsequently patient care.
When an appropriate number of principal components of each sub weight matrix are retained, there is almost no quality degradation of images reconstructed from dimensional reduced weight matrix but can significantly save calculation time.
Some digital watermarking methods [2] prevent the degradation of the image quality of watermarked images by using human visual system.
These images with controlled degradation of the image data present a representative, reproducible data set ideal for development and evaluation of neonatal MRI analysis methods, e.g. segmentation and registration algorithms.
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