Ch. 20 Carlton

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71 Terms

1
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What was digitally computerized in the 1970s-1990s?

CT and Ultrasound (U/S).

2
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What was the result of the creation of "electronic data sets"?

It was applied to all imaging modalities.

3
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What became possible due to digital advancements?

Visualization in multiple planes and computer manipulation via post-processing.

4
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What does Computed Radiography (CR) use?

Photostimulable imaging plates (PSP, IP).

5
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What does Digital Radiography (DR) include?

Direct conversion (without scintillator) and indirect conversion (with scintillator).

6
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What are DR receptors?

Flat panel detectors.

7
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What do healthcare reimbursements encourage?

DR migration.

8
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What format are electrical signals from receptors in?

Analog format.

9
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What is required to convert analog signals to digital language?

Analog-to-Digital Conversion (ADC).

10
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What is the requirement in binary machine language?

Two-symbol alphabet: 0 and 1.

11
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What is the relationship between a bit and a byte?

8 bits = 1 byte.

12
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What two important steps does ADC involve?

Sampling and quantification.

13
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What does digital data consist of?

Bit values (binary digit).

14
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How are bit strings connected?

As bytes.

15
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How is computer memory expressed?

In total bytes (Megabytes, Gigabytes, Terabytes).

16
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What is the matrix made of?

Pixels and Voxels.

17
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What is Field of View (FOV) a part of?

The Matrix.

18
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What does spatial resolution depend on?

Matrix size.

19
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What is a pixel?

Picture element.

20
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What is a voxel?

Volume element.

21
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What is the relationship between Pixel Pitch and Size to spatial resolution?

Inversely related to spatial resolution.

22
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How is sampling frequency expressed?

As pixels/mm.

23
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What is sampling frequency dependent on?

Matrix size and image receptor size.

24
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What does each pixel contain?

Bit-depth.

25
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What does bit depth determine?

Number of assigned gray shades to pixel value.

26
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What is greater bit depth yield?

Greater range of gray shades.

27
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What does a 2^12 bit depth yield?

4,096 gray shades.

28
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What is the effect of greater bit depth?

Increases data set size and volume data for image processing.

29
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What affects image file size?

Pixel size, matrix, and bit depth.

30
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What range does gray scale bit depth fall between?

8 to 32 bits.

31
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What is DICOM?

Digital Imaging and Communications in Medicine is the digital standard for imaging.

32
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What computation is by Histogram Characteristics?

Graphical computation (signal values of data set)

33
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How are signal values arranged in a histogram?

From minimum to maximum.

34
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What does the shape of a histogram depend on?

Anatomy and exposure (Short scale vs. long scale).

35
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What is identified using a Histogram?

Pixel Values of Interest (VOI) and Exposure Index (EI).

36
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What comparison does Histogram Rescaling perform?

Acquired & Reference histogram.

37
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What does rescaling compensate for?

Under/over exposure by shifting histogram.

38
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What does rescaling produce?

Consistent image appearance regardless of exposure.

39
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What happens if there is excessive overexposure?

It can’t be compensated (Dose Creep).

40
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What adjustments are made by a Look-Up-Table (LUT)?

image contrast.

41
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Where are LUT values assigned?

Data points (pixels) in histogram.

42
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What does a LUT produce?

Contrast-look according to reference contrast scale for exam view.

43
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LUT’s vary between

exams and manufacturers.

44
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What cannot be compensated with LUT’s?

Sub-optimum exposure values.

45
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How is image display adjusted?

LUT (graph of processed pixel values).

46
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What changes are allowed in LUT adjustments?

optical density or contrast.

47
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When can pathologies be enhanced?

When difficult to visualize.

48
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What is an adjustment similar to?

Changing DLOGE curve of film emulsion.

49
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How does Spatial Resolution Increase?

Matrix size increases, pixel size decreases, spatial resolution increases.

50
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How does Density Resolution Increase?

Gray scale bit depth increases, density resolution increases.

51
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Low Contrast Resolution (LCR) is the ability to represent

small energy values

52
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What is Noise?

Undesirable signal values impair diagnostic value.

53
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What systems suppress noise?

electronic (system) noise and quantum noise.

54
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How is noise measured?

As Signal-to-Noise Ratio (SNR).

55
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What is Detective Quantum Efficiency (DQE)?

Measurement of how sensitive and accurate incoming data is converted to output viewing.

56
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What is the formula for DQE?

DQE = (SNRo)^2 / (SNRi)^2

57
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What does a DQE of 1 indicate?

100% or no loss of information.

58
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What is the DQE measurement of DR systems?

Between 30% and 70%.

59
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What does a higher DQE mean?

Lower dose.

60
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What information does Exposure Index (EI) provide?

exposure to image receptor.

61
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How is the acceptable ranges for best image quality expressed?

Target Exposure Indicators (EIT).

62
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What is calculated using histogram values and Pixel Values of Interest (PVOI) mid-points?

Exposure Index (EI).

63
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Exposure Index varies between

Vendors

64
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Exposure index is responsible for

EI values for image quality and ALARA compliance.

65
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Exposure Index Systems has

No universal system; different manufacturers use different systems.

66
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What is compared in EI (Exposure Index)?

Sensitivity number (S number), Exposure Index (EI), or Log Median Exposure (LGM) values.

67
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AAPM and IEC use what to standardize exposure values between manufacturers using EI#’s.

Deviation Index (DI)

68
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What values Uses department

EIT values.

69
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Deviation index compares

Acquired exposure (KIND) and target exposure (KTGT).

70
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DI expressed as

A scale of DI values.

71
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Computed radiography & Digital radiography have

excellent Low Contrast Resolution and greater dynamic range.