| Task: |
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| Load the Foot dataset from "foot/data/foot_256x256x256_uint8.raw", the information about this dataset: |
| Foot |
| Description: Rotational C-arm x-ray scan of a human foot. Tissue and bone are present in the dataset. |
| Data Type: uint8 |
| Data Byte Order: little Endian |
| Data Spacing: 1x1x1 |
| Data Extent: 256x256x256 |
| Data loading is very important, make sure you correctly load the dataset according to their features. |
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| Visualize the anatomical structures: |
| 1. Apply volume rendering with an X-ray transfer function that distinguishes soft tissues and bones. Bones with darker color, and soft tissue with lighter color. |
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| 2. Analyze the visualization and answer the following questions: |
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| Q1: Based on the X-ray style volume rendering of the foot dataset, which of the following best describes the visibility of bony structures? |
| A. Both the phalanges and metatarsals are fully visible |
| B. The phalanges are fully visible, but the metatarsals are only partially visible |
| C. The metatarsals are fully visible, but the phalanges are only partially visible |
| D. Neither the phalanges nor the metatarsals are clearly visible |
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| 3. Use a white background. Find an optimal view. Render at 1280x1280. Do not show a color bar or coordinate axes. |
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| 4. Set the viewpoint parameters as: [-576.41, -264.41, -153.48] to position; [127.5, 127.5, 127.5] to focal point; [-0.52, 0.38, 0.76] to camera up direction. |
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| 5. Save your work: |
| Save the visualization image as "foot/results/{agent_mode}/foot.png". |
| Save the answers to the analysis questions in plain text as "foot/results/{agent_mode}/answers.txt". |
| (Optional, but must save if use paraview) Save the paraview state as "foot/results/{agent_mode}/foot.pvsm". |
| (Optional, but must save if use pvpython script) Save the python script as "foot/results/{agent_mode}/foot.py". |
| (Optional, but must save if use VTK) Save the cxx code script as "foot/results/{agent_mode}/foot.cxx" |
| Do not save any other files, and always save the visualization image and the text file. |