降阶MRI医学图像的传输与存档

Hedi Amri, M. Abdmouleh, A. Khalfallah, J. Lapayre, M. Bouhlel
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引用次数: 0

摘要

医学图像通常很大。为了尽量减少文件的大小,不同的压缩标准,如JPEG、JPEG 2000和TIFF已被开发出来,但在有损压缩的情况下,它们会影响图像质量。在本文中,我们提出了一种基于图像大小调整的压缩方法,可以将文件大小减少到传输或存档前的四分之一。当它被接收或在其显示之前,缩小的图像被放大,以确保更好的视觉舒适性。这种方法被称为REPro。在这种情况下,我们使用了三种图像缩减技术,即正方形正方形网格抽取、正方形正方形滤波网格抽取、正方形交错正方形滤波网格抽取。此外,我们还利用了四种放大技术,即零填充、最近邻插值、三次样条插值和双插值来调整MRI图像的大小。实验结果证明,将正方形网格抽取与b样条插值相结合可以保证原始图像的最小畸变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transmission and archiving of reduced MRI medical images
Medical images are often large. To minimise their file sizes, different compression standards like JPEG, JPEG 2000 and TIFF have been developed, but they can affect the image quality in case of lossy compression. In this paper, we propose a compression method based on image resizing that can reduce the file size to a quarter before its transmission or archiving. When it is received or before its display, the reduced image is enlarged to ensure better visual comfort. This approach is called REPro. In this context, we have used three image reduction techniques namely square-square mesh decimation, square-square filtered mesh decimation, the square-staggered-square filtered mesh decimation. In addition, we have utilised four enlargement techniques namely zero padding, nearest neighbour interpolation, cubic spline interpolation and binterpolation to resize MRI images. The experimental results prove that the combination of the square-square mesh decimation with the B-spline interpolation ensures the minimum distortion of the original image.
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