Three-dimensional wavelet transform (3D-WT) has been proposed as basis for volumetric data coding, because it can provide lossless coding and top-quality reconstruction. These functionalities are very important for medical imaging. There are two different ways to perform the WT: the Non Standard or Classic WT versus the Standard WT. The last one is practically rejected for state-of-the-art coders because its high computational demands. However, by slightly changing its operation, it is possible to substantially reduce its computational requirements and improve its coding efficiency. In this paper we propose two 3D Standard WT-based decomposition algorithms capable of obtaining the wavelet coefficients during the spatial and temporal decomposition processes and therefore reducing the redundancy present in the video sequence. The new algorithms perform the novel Temporal-Window methodology to carry out the temporal decomposition in 3DWT. We have conducted a set of experimental evaluations for a representative data set of a modality of intrinsically volumetric medical imaging: angiography sequences.