核医学图像中的有损压缩
Lossy compression in nuclear medicine images.
作者信息
Rebelo M S, Furuie S S, Munhoz A C, Moura L, Melo C P
机构信息
InCor-HCFMUSP, São Paulo, Brazil.
出版信息
Proc Annu Symp Comput Appl Med Care. 1993:824-8.
The goal of image compression is to reduce the amount of data needed to represent images. In medical applications, it is not desirable to lose any information and thus lossless compression methods are often used. However, medical imaging systems have intrinsic noise associated to it. The application of a lossy technique, which acts as a low pass filter, reduces the amount of data at a higher rate without any noticeable loss in the information contained in the images. We have compressed images of nuclear medicine using the discrete cosine transform algorithm. The decompressed images were considered reliable for visual inspection. Furthermore, a parameter was computed from these images and no discernible change was found from the results obtained using the original uncompressed images.
图像压缩的目标是减少表示图像所需的数据量。在医学应用中，不希望丢失任何信息，因此经常使用无损压缩方法。然而，医学成像系统本身存在与之相关的噪声。有损技术的应用起到了低通滤波器的作用，能以更高的速率减少数据量，同时图像中所含信息不会有任何明显损失。我们使用离散余弦变换算法对核医学图像进行了压缩。解压缩后的图像被认为可用于视觉检查。此外，从这些图像中计算出一个参数，与使用原始未压缩图像得到的结果相比，未发现明显变化。
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