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Quantization improvement in MRI using dual quantizers

机译：使用双重量化器改善MRI的量化

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摘要

The quantization of magnetic resonance imaging (MRI) data can cause information loss due to quantizer/data mismatch. The authors address a method for improved quantization as well as techniques for measuring the improvement in such methods. A dual quantizer scheme is described and simulated which is fast and more accurately quantizes MRI data than conventional methods. The approach is to use two quantizers, one for the high-level data and one for the low-level data. This adaptive, dual quantization scheme is simple and provides significant improvements in image quality, especially for three-dimensional (3-D) acquisition. Results are given which show how well the low frequencies are represented and indicate the increased fidelity of the high-frequency components. These results show a significant improvement in signal-to-noise ratio as well as in detection tasks for both noiseless data and data which include varying amounts of system noise.
机译：磁共振成像（MRI）数据的量化可能由于量化器/数据不匹配而导致信息丢失。作者提出了一种用于改进量化的方法以及测量这种方法的改进的技术。描述并模拟了双重量化器方案，该方案比常规方法更快速，更准确地量化MRI数据。该方法是使用两个量化器，一个用于高级数据，一个用于低级数据。这种自适应的双重量化方案非常简单，并且可以显着提高图像质量，尤其是对于三维（3-D）采集而言。给出的结果表明低频表现得很好，并表明高频分量的保真度增加。这些结果表明，对于无噪声数据和包括变化量的系统噪声的数据，信噪比以及检测任务均得到了显着改善。

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