In PACS

CT and MRI scanners provided lots of 3D images every day. For this reason

JPEG

as a 2D image coding technology is not compatible. In this paper

a three-dimensional medical images compression method based on 3D wavelet transform is proposed. At first

various filter banks in the slice direction are used and the results of rebuild images are compared to find the best filter bank for 3D transform. Then using MSE as performance index

the author presents a new 3D best quantization method independently. And DPCM is replaced by S+P transform in low-resolution subband for enhance coding efficiency. Furthermore

we test various entropy coding methods

based on which a synthesis entropy coding method is found. We think it best fit for wavelet transform coding. At last

an integrity 3D wavelet transform coding method is proposed. We test out the method on lots of 3D images

the results show that this method can elevate compression ratio region from 20% to 47%

compared with JPEG or 2D wavelet transform. This 3D coding method can offset the failure of 2D coding method in PACS perfectly.