Once the final 3D rendering is obtained, current methods use video/image exporting to save the rendering result. The options for storing the 3D representation of the segmented volume data are limited to images (e.g., JPEG or TIFF), animations (e.g., MPEG or AVI), or 3D movies with pseudo-interaction (e.g., QuickTime, Virtual Reality object movies). Interactions with the objects are available to a very limited extent, if possible at all. Subsequent adjustments to the representation or continuous optimization of the steps of the visualization process are not possible. Thus, it is not possible to return to a volume at a later time to make small modifications (e.g., slight adjustments in segmentation parameters, lighting/shading models, and color/opacity values) to obtain a new rendering result. Moreover, exported videos are usually very large in size in order to include all information at the necessary quality. This requires a significant amount of storage space and introduces challenges in data transfer.
Index Of 1080p Mp4 Movie
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The total storage needs for each case are presented in Table 2. If video exporting is used, each HD video requires around 120, 66, and 47 MB for LDLT, AAA, and renal tumor analysis, respectively. These values increase to 414, 201, and 154 MB for 1080p resolution, respectively. The same information can be stored using 3DPR objects with sizes of 0.45, 0.61, and 0.28 MB, respectively, which reduce the yearly average storage needs by 99.8 %.
The segmentation quality, software usability, and integration of the entire system in a clinic were evaluated. The evaluation shows that the use of 3DPR efficiently simplifies and accelerates the workflow, where repeated applications of 3D visualization and analysis are needed. Moreover, instead of using movies, 3DPR provides great flexibility by allowing direct visualization of segmented data whenever needed. These advantages increase the cooperation of the radiologists with other physicians (such as surgeons), while reducing the workload required for repeated 3D analysis. Full integration of 3DPR objects with PACS via DICOM-compliant data structure enables the use of the developed approach with existing systems. 2ff7e9595c
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