Interframe coding of magnetic resonance images
Interframe coding of magnetic resonance images
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DOI：
10.1109/42.538941
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发表时间：
1996
影响因子：
10.6
通讯作者：
Aria Nosratinia;N. Mohsenian;M. Orchard;Bede Liu
中科院分区：
文献类型：
--
作者：
Aria Nosratinia;N. Mohsenian;M. Orchard;Bede Liu
提出了一种新的医学图像，特别是磁共振（MR）图像的帧间编码方法。到目前为止，使用帧间冗余对MR图像进行编码的尝试尚未成功。作者认为，主要原因有两个方面：不合适的帧间估计模型和磁共振成像（MRI）中固有的热噪声。这里使用的帧间模型是基于变形三角形（并通过变形三角形优化）的连续仿射映射。MRI的固有噪声是通过在估计环路内使用中值滤波器来处理的。残差帧用零树小波编码器量化，该编码器包括算术熵编码。这种特定的量化方法允许渐进传输，除了避免缓冲器控制问题之外，这在医学成像应用中非常有吸引力。
Presents a new interframe coding method for medical images, in particular magnetic resonance (MR) images. Until now, attempts in using interframe redundancies for coding MR images have been unsuccessful. The authors believe that the main reason for this is twofold: unsuitable interframe estimation models and the thermal noise inherent in magnetic resonance imaging (MRI). The interframe model used here is a continuous affine mapping based on (and optimized by) deforming triangles. The inherent noise of MRI is dealt with by using a median filter within the estimation loop. The residue frames are quantized with a zero-tree wavelet coder, which includes arithmetic entropy coding. This particular method of quantization allows for progressive transmission, which aside from avoiding buffer control problems is very attractive in medical imaging applications.