Principles of CT II
This quiz covers the basics of CT imaging, including CT image display, Hounsfield units, and attenuation coefficients and CT numbers for common tissues.
Recommended next
30 questions ready
Start with a quiz
Answer from memory first, then use the existing quiz review flow for anything you miss.
Activities
Quiz30 Questions
Study Notes1 Note
Modules
Learn in sequence
Start with the earlier modules and work forward. Each one builds on the last, so the course gets more advanced as you go.
Principles of CT II
Quiz • 30 Questions
Study Notes
2 min • Summary
Materials
List of Questions30 questions
- Question 1
- CT numbers or Hounsfield units
- Linear attenuation coefficients (μ) of the tissues
- Attenuation coefficients and CT numbers for common tissues
- All of the above
- Question 2
- S. Jastaniah
- A. Aref
- J. Al-Ghamdi
- Sir Godfrey Hounsfield
- Question 3
- CT number = μ - 1000
- CT number = μ + 1000
- CT number = μ / 1000
- CT number = 1000 + μ
- Question 4
- Attenuation coefficients
- CT numbers
- μ (mu)
- Hounsfield units
- Question 5
- Hounsfield units
- Linear attenuation coefficients of the tissues
- Attenuation coefficients for common tissues
- Reconstructed image pixels
- Question 6
- He proposed the concept of Hounsfield units
- He developed the principle of linear attenuation coefficients
- He improved the reconstructed image quality
- He invented CT technology
- Question 7
- To reconstruct the image
- To assign a mathematical value to each pixel
- To improve image quality
- To display the linear attenuation coefficients of the tissues
- Question 8
- Because it has a CT value of zero
- Because of its uniform density and abundance in the body
- Because it has the highest linear attenuation coefficient among body tissues
- Due to its high density
- Question 9
- Linear Attenuation Coefficient
- Hounsfield Unit (H.U.)
- Density Unit
- CT Number
- Question 10
- 0.182
- 0.180
- 0.162
- 0.46
- Question 11
- Air
- Blood
- White matter
- Fat
- Question 12
- It indicates a tissue with a linear attenuation coefficient of 0.0003
- It indicates a tissue with the lowest density
- It is assigned to water as a reference material
- It indicates a tissue with the highest density
- Question 13
- They remain the same
- They become positive
- They approach zero
- They become negative
- Question 14
- Due to differences in CT scanner types
- Due to differences in calculation methods
- Due to differences in patient age
- Due to differences in tissue density
- Question 15
- 500
- -1000
- 0
- 1000
- Question 16
- To determine the density of tissues
- To calculate the attenuation coefficient of water
- To produce linear attenuation values
- To establish a relative basis for CT numbers
- Question 17
- HU (Hounsfield Units)
- K (Kilo units)
- μ (mu)
- CT (Computed Tomography units)
- Question 18
- 0
- 500
- -1000
- 1000
- Question 19
- CT Number = (μtissue × μwater) / μwater
- CT Number = (μtissue ÷ μwater) / μwater
- CT Number = (μtissue + μwater) / μwater
- CT Number = (μtissue - μwater) / μwater
- Question 20
- 100-300
- 300-500
- 10-30
- 50-100
- Question 21
- 0.19
- 3.19
- 1.19
- 2.19
- Question 22
- Reconstruction of the patient data
- Image display, storage, and documentation
- Reconstruction of the CT image
- Data acquisition and processing
- Question 23
- To increase the image storage capacity
- To reduce the image noise
- To enhance the image resolution
- To facilitate interpretation by the radiologist
- Question 24
- Plasma monitor
- LED monitor
- LCD (Liquid Crystal Display) monitor
- CRT (Cathode-Ray Tube) monitor
- Question 25
- They are lighter and more durable
- They produce lower luminance
- They have lower spatial resolution
- They are heavier, larger, hotter, and less durable
- Question 26
- Pixel
- Image array
- Voxel
- Matrix
- Question 27
- Pixel
- Image element
- Matrix
- Voxel
- Question 28
- The image becomes grayscale
- The image becomes color
- The image becomes 3D
- The image resolution increases
- Question 29
- Level of brightness
- Level of contrast
- Level of gray
- Level of saturation
- Question 30
- To store the image
- To interpret the image by the radiologist
- To reconstruct the image
- To process the image data