Difference between revisions of "Basic Terminologies"
| Line 4: | Line 4: | ||
*Pixel is flat with unit length of 1 and width of 1. | *Pixel is flat with unit length of 1 and width of 1. | ||
| − | + | ===Voxel=== | |
*A cube display unit.All 3D data sets are made from voxels. | *A cube display unit.All 3D data sets are made from voxels. | ||
*A 3 voxel by 3 voxel by 3 voxel matrix contains 27 voxels. | *A 3 voxel by 3 voxel by 3 voxel matrix contains 27 voxels. | ||
*voxel is 3D and has length of 1 and width of 1 and height of 1. | *voxel is 3D and has length of 1 and width of 1 and height of 1. | ||
| − | + | ===2D Imaging=== | |
eg. Histology | eg. Histology | ||
Data measurment including length and width. | Data measurment including length and width. | ||
*NOTE: histology is always considered 2D but it does include height. Hence if you are given many histological slices, you can reconstitute them into a 3D data set as well. | *NOTE: histology is always considered 2D but it does include height. Hence if you are given many histological slices, you can reconstitute them into a 3D data set as well. | ||
| − | + | ===3D Imaging=== | |
eg. Modeling, plastic, virtual,etc | eg. Modeling, plastic, virtual,etc | ||
Data measurement including height, length and width. | Data measurement including height, length and width. | ||
*Note: Model is considered 3D most of the time. However, once you start dynamically swapping 3D data sets (eg. a heart beating through time). Hence, a series of 3D data sets of relevant structures are considered 4D. | *Note: Model is considered 3D most of the time. However, once you start dynamically swapping 3D data sets (eg. a heart beating through time). Hence, a series of 3D data sets of relevant structures are considered 4D. | ||
| − | + | ===4D Imaging=== | |
Data measurement including height, length, width and time. | Data measurement including height, length, width and time. | ||
Time is the key here. This is the hardest dataset to work with. Make sure you recycle labels should it be necessary. | Time is the key here. This is the hardest dataset to work with. Make sure you recycle labels should it be necessary. | ||
| − | + | ===CT/CAT=== | |
Computed Tomography (CT) | Computed Tomography (CT) | ||
Computed Axial Tomography (CAT) | Computed Axial Tomography (CAT) | ||
| Line 30: | Line 30: | ||
CT is in many sense very similar to advanced array of X ray machines. Traditional X ray is only exposed ONCE (eg. you stand in front of the X ray machine and get shoot via X rays for once and develop the filem.) However, CT has more exposures and at lower dosages during each exposure. (Simplest way I can explain it would be try to imagine a Circular track with an X ray emitter mounted on the track and the patient inside the circular ring while the receiver at the opposite end of the circular track. As the scan proceeds, the emitter starts at 12 o clock position with the receiver at 6 o clock position, the density reading from 12 to 6 position is ready... and then the emitter/detector moves along the track and keeps take reading... The ending result is a 2D reading of the plane being scanned(This is SO simplified . Here is a BRIEF intro to CT/CAT principles. | CT is in many sense very similar to advanced array of X ray machines. Traditional X ray is only exposed ONCE (eg. you stand in front of the X ray machine and get shoot via X rays for once and develop the filem.) However, CT has more exposures and at lower dosages during each exposure. (Simplest way I can explain it would be try to imagine a Circular track with an X ray emitter mounted on the track and the patient inside the circular ring while the receiver at the opposite end of the circular track. As the scan proceeds, the emitter starts at 12 o clock position with the receiver at 6 o clock position, the density reading from 12 to 6 position is ready... and then the emitter/detector moves along the track and keeps take reading... The ending result is a 2D reading of the plane being scanned(This is SO simplified . Here is a BRIEF intro to CT/CAT principles. | ||
| − | + | ===MRI=== | |
Nuclear Magnetic Resonance Imaging | Nuclear Magnetic Resonance Imaging | ||
| − | + | ===Surface Generation=== | |
| − | + | ===Volumetric Rendering=== | |
| − | + | ===Isosurface=== | |
[[Category:Amira]] | [[Category:Amira]] | ||
[[Category:Osirix]] | [[Category:Osirix]] | ||
[[Category:Slicer]] | [[Category:Slicer]] | ||
| + | [[File:Example.jpg]] | ||
Revision as of 15:23, 5 May 2009
Contents
Pixel
- A square display unit. All 2D pictures are composed of pixels.
- A 3 pixel by 3 pixel pictures contains 9 pixels.
- Pixel is flat with unit length of 1 and width of 1.
Voxel
- A cube display unit.All 3D data sets are made from voxels.
- A 3 voxel by 3 voxel by 3 voxel matrix contains 27 voxels.
- voxel is 3D and has length of 1 and width of 1 and height of 1.
2D Imaging
eg. Histology Data measurment including length and width.
- NOTE: histology is always considered 2D but it does include height. Hence if you are given many histological slices, you can reconstitute them into a 3D data set as well.
3D Imaging
eg. Modeling, plastic, virtual,etc Data measurement including height, length and width.
- Note: Model is considered 3D most of the time. However, once you start dynamically swapping 3D data sets (eg. a heart beating through time). Hence, a series of 3D data sets of relevant structures are considered 4D.
4D Imaging
Data measurement including height, length, width and time. Time is the key here. This is the hardest dataset to work with. Make sure you recycle labels should it be necessary.
CT/CAT
Computed Tomography (CT) Computed Axial Tomography (CAT) The basic idea behind CT is the idea of density. In CT, the denser the object, the more bright it appears in the final result. CT is in many sense very similar to advanced array of X ray machines. Traditional X ray is only exposed ONCE (eg. you stand in front of the X ray machine and get shoot via X rays for once and develop the filem.) However, CT has more exposures and at lower dosages during each exposure. (Simplest way I can explain it would be try to imagine a Circular track with an X ray emitter mounted on the track and the patient inside the circular ring while the receiver at the opposite end of the circular track. As the scan proceeds, the emitter starts at 12 o clock position with the receiver at 6 o clock position, the density reading from 12 to 6 position is ready... and then the emitter/detector moves along the track and keeps take reading... The ending result is a 2D reading of the plane being scanned(This is SO simplified . Here is a BRIEF intro to CT/CAT principles.
MRI
Nuclear Magnetic Resonance Imaging
