| Task: |
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| Load the Pancreas dataset from "pancreas/data/pancreas_240x512x512_int16.raw", the information about this dataset: |
| Pancreas |
| Description: First scan. The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects. Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy. The remaining 65 patients were selected by a radiologist from patients who neither had major abdominal pathologies nor pancreatic cancer lesions. Subjects' ages range from 18 to 76 years with a mean age of 46.8 ± 16.7. The CT scans have resolutions of 512x512 pixels with varying pixel sizes and slice thickness between 1.5 - 2.5 mm, acquired on Philips and Siemens MDCT scanners (120 kVp tube voltage). A medical student manually performed slice-by-slice segmentations of the pancreas as ground-truth and these were verified/modified by an experienced radiologist. |
| Data Type: int16 |
| Data Byte Order: little Endian |
| Data Spacing: 1.16x1.0x1.0 |
| Data Extent: 240x512x512 |
| Data loading is very important, make sure you correctly load the dataset according to their features. |
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| Then visualize it and extract isosurfaces to reveal the internal structures. Create one isosurface for soft tissue (lower isovalue, color: red, opacity: 0.3) and another for bone/dense structures (higher isovalue, color: white, opacity: 0.8). |
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| Please think step by step and make sure to fulfill all the visualization goals mentioned above. |
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| Finally, save the paraview state as "pancreas/results/pancreas.pvsm" |