image manipulation and compression Flashcards

1
Q

what is a quantum sink

A

a material/ substance that is very effective at absorbing x-rays

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

what happens when an XR photon interacts with quantum sink

A

transfers energy to the sink
- absorption allows us to create detailed images of internal structures of body

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

example of contrast agents/ contrast media

A

quantum sinks

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

quanta

A

refers to discrete packets/ units in which energy is quantized
- quanta = ‘how much’

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

what does an image histogram represent

A
  • graphical representation of distribution of pixel intensities in image
  • visual summary of tonal range and contrast of image
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

what does the x-axis of histogram represent

A

pixel intensities

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what does the y-axis of histogram represent

A

frequency/ number of pixels at each intensity level

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

how do you construct an image histogram

A
  • convert image to greyscale
  • count pixel intensities
  • plot the histogram
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

value of 0 represents

A

black (in 8-bit greyscale image)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

value of 255 represents

A

white ( in 8-bit greyscale image)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

what does a high peak in histogram represent

A

peaks in histogram indicate intensity levels that are more dominant in image
= significant features/ objects

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

low/ flat regions in histogram

A

indicate low frequency/ absence of pixels at certain intensity levels
= uniform background/ low contrast

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

saturated regions

A
  • shows spikes at extreme ends (0 or 255) - could suggest image full black/ white
    = underexposed/ overexposed areas
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

where does histogram have to be placed for conventional radiography

A

within latitude of the film

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

where does histogram have to be placed for digital radiography

A
  • placed adjacent to image display
  • provides real time information about distribution of pixel intensities in image
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

how do we know if detector has received sufficient exposure?

A

typically done by evaluating image’s overall brightness + contrast
- consider histogram of pixel intensities

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

what are signals

A
  • amount of transmitted beam we receive at image receptor –> converted into our image
  • quanta of photons reaching detector
18
Q

how can the amount of signal the receptor receives be changed

A

by changing exposure factors

19
Q

which type of DR detector is more prone to loss of signal

A
  • iDR
  • more prone to light scattering = loss of spatial resolution
  • light attenuation - conversion of light through scintillator material = loss
  • QDE = converting XR quanta to light (QDE) can affect overall signal:noise
20
Q

what are exposure indices

A
  • numerical values to quantify exposure received by digital detector
21
Q

EI

A

value that represents radiation dose received by detector during image acquisition
- allows for monitoring and maintaining consistent image quality

22
Q

DI

A
  • deviation index compares actual exposure level of acquired image to reference exposure level
  • tells us if there is a deviation between two values
    • DI = overexposure
  • -ve DI = underexposure
23
Q

SNR

A
  • signal to noise ratio
  • measure of quality + clarity of image
  • high SNR = better image quality
24
Q

what is a look up table (LUT)

A
  • data structure commonly used in computer science + digital systems to map input values to corresponding output values
25
two main components of LUT
- input values - output values - when specific input value provided to LUT --> returns with corresponding output value associated with the input value
26
essential what does LUT provide
fast and efficient way to retrieve output values without having to perform complex calculations
27
what happens as a result of LUT to a graph
curve applied to linear lined graph
28
post-processing image manipulations
- windowing - edge enhancement - shuttering - image orientation - markers - LUT changes
29
what does post processing generally do to image quality
degrades
30
how does windowing affect image quality
- affects contrast of image - alters brightness - does not affect density
31
steep/ shallow line on curve
contrast
32
position of curve to pixel data
brightness
33
what is image compression
- minimising file size of image file without degrading quality of image to unnaceptable level
34
what are bitmaps
- common type of digital representation - composed of individual grid pixels where each pixel represents a specific colour - generally large files
35
RLE
run length encoding
36
what is RLE
- compression technique used to reduce size of data eg AAAABCCD = 4AB2CD
37
LZW compression
lemel ziv welch compression
38
what is a LZW compression
replaces frequently occuring patterns with shorter codes = reduces size of data - lossy
39
two types of compression
- lossy - lossless
39
RAID
redundant array of inexpensive disks
40
pros and cons of RAID
- disk failure redundancy - massive data space - expensive - can still fail