Computed tomography
Computed tomography is an imaging technique that uses multiple X-ray measurements and computational reconstruction to produce cross-sectional or volumetric images.
Deep Learning with PyTorch, Second Edition
Computed tomography imaging data consisting of cross-sectional body slices.
- How it is used
- Uses CT volumes as the image data for lung-nodule loading, classification datasets, and slice-based segmentation.
- How deep it goes
- Defines voxels and tensor shape and demonstrates loading and slicing, while leaving reconstruction mathematics and raw-format parsing to other tools.
- Examples
- Shows stacked head slices, SimpleITK scan loading, and a lung slice with a marked nodule.
- What you can do after
- Apply it via SimpleITK and PyTorch to load a CT volume and extract labeled 2D slices for a segmentation dataset.
Read how Deep Learning with PyTorch, Second Edition explains computed tomography →
Geometry for Programmers
An imaging technique that reconstructs cross-sectional or volumetric representations of internal structures from measurements taken around an object, typically x-ray measurements.
- How it is used
- Uses surrounding x-ray measurements to inspect bodies noninvasively and reconstruct internal 3D structure.
- How deep it goes
- Explains detector measurements, radiodensity, a four-pixel reconstruction, and linear systems, stopping short of full reconstruction algorithms.
- Examples
- Uses a four-pixel slice, Hounsfield-unit tissue values, and replacement-part scanning for milling or 3D printing.
- What you can do after
- Evaluate how angled x-ray measurements constrain voxel values and apply CT data to reproduce manufactured parts.
Read how Geometry for Programmers explains computed tomography →
Related concepts
- voxelpart of · A voxel is a discrete volumetric element, typically cubical, used to represent spatial data or occupancy in a three-dimensional grid.
- 3D imageproduces · A 3D image is a three-dimensional sampled representation of geometry or spatial data arranged as image-like values.
- radiodensitymeasures · Radiodensity is a measure of a material’s attenuation or absorption of X-rays, particularly as represented in medical imaging.
- Hounsfield unituses · A Hounsfield unit is a standardized measure of x-ray radiodensity in computed tomography relative to water.
- lung tumor detectionused by · The task of automatically identifying suspected malignant lung tumors from chest CT scans.
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