Image Quality in CT (part 2) Flashcards
What are the four components of CT image quality?
Noise
(Low) contrast resolution
High contrast (spatial) resolution
Temporal resolution
What is a water phantom?
An Acrylic cylinder with Uniform density that has an Attenuation equivalent to that of water
What is the HU of water?
0
T/F
If an image is created of an object that is known to be of uniform density (water phantom), then all measured points within that image should in theory be the same.
True
(however in reality it isn’t)
What two measurements appear when a Region of Interest (ROI) tool or cursor is placed over the image?
A mean HU measurement and standard deviation (SD) measurement is obtained.
T/F
The larger the SD, the higher the image noise.
True
What does the SD (standard deviation) in an image indicate?
The SD indicates the magnitude of random fluctuations in the CT number
These random fluctuations in the CT number of otherwise uniform materials appear as graininess on CT images.
Even if we image a perfectly uniform object (e.g., a water filled object) there is still a variation in the Hounsfield units about a mean. Why is this?
This is due to noise
T/F
Noise degrades the image by degrading high contrast resolution
False; Noise degrades the image by degrading low contrast resolution
What are the 3 sources of noise in CT?
- Quantum noise
- Electronic noise
- Noise introduced by the reconstruction process (e.g., filtered back projection)
What is the biggest enemy of low contrast resolution?
Noise
The number of photons detected will vary randomly about a mean value. What is the variation called?
Noise
Photon registration by the detectors is what type of process?
Photon registration by the detectors is a stochastic process.
What 5 technical factors (scan parameters) affects the number of photons detected?
- mA
- Scan (rotation time)
- Slice thickness
- Peak kVp
- Reconstruction algorithm
Describe how changes in mA can affect the noise:
Changing the mA value changes the beam intensity and thus, the number of x-rays — proportionally.
T/F
Scan (rotation) time affects the number of detected x rays proportionally
True
T/F
An increase in mA decreases the noise
True
T/F
A decreased scan time increases the signal to noise ratio (decreasing the noise)
True
T/F
As slice thickness increases, so does the noise.
False; as slice thickness increases, the noise decreases
For example, compared with a slice thickness of 5 mm, a thickness of 10 mm approximately doubles the number of x-rays entering each detector.
T/F
kVp is directly proportional to noise
False
T/F
Increasing the kilovoltage reduces image noise
True
(but reduces subject contrast)
T/F
The Reconstruction Algorithm direclty affects the number of x-rays hitting the dector, thus reducing noise.
False; Reconstruction Algorithm does not affect the numbers of detected x-rays. A reconstruction filter profoundly affects the appearance of noise in the image.
What is the purpose of the smoothing filter?
To soften noise
What is the purpose of the sharpening filter?
To increase noise
What is preffered for images of soft tissue, a smoothing or sharpening filter?
Smooth filter
What is preffered for images of structures with edges and small details, such as bone; a smooth or a sharp filter?
Sharp filter
T/F
As noise increases Low Contrast Detectability decreases
True
What is low contrast resoltion?
How well low-contrast test objects are seen in the presence of typical noise levels
What 8 factors affect low contrast resolutioin?
- mAs
- kVp
- Slice thickness
- Reconstruction algorithm
- Pixel size
- Patient size
- Inherent tissue properties
- Use of contrast media
T/F
Dose does not increase linearly with mAs
False; Dose increases linearly with mAs
As mAs increases, what happens to low contrast resolution?
It increases
As kV increases, what happens to low contrast resolution?
It decreases
Although the use of a higher tube voltage (kV) results in improved x-ray photon statistics (↑SNR), the quality of the x-ray beam is somewhat compromised because the visibility of low-contrast objects depends on the presence of low-energy photons, which are disproportionally less for the higher tube voltage
What is the downside of increasig Slice Thickness?
It decreases spatial resolution in the z axis
T/F
Slice thickness has a linear effect on the number of x-ray photons available to produce the image
True
5mm slice will have twice the number of photons as a 2.5mm slice.
Although slice thickness can increase SNR, what factor can get in the way and decrease the visiblity of smaller objects?
Volume averaging can reduce the visibility of smaller objects.
What produces better low contrast resolution; smoothening filters or sharpening filters?
Smoothening filters improve low contrast resolution
(at the cost of SR)
T/F
As noise increases, low contrast resolution decreases
True
As Pixel Size decreases, what happens to low contrast resolution? Why?
-Contrast resolution decreases
-As pixel size decreases, the number of detected photons per pixel will decrease.Fewer photons per pixel results in a subsequent decrease in contrast resolution.