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Understanding Image Terms and Their Characteristics

Aug 30, 2024

Lecture Notes: Image Terms and Characteristics

Basic Terms

  • Matrix: A grid structure of rows and columns forming an image.
    • Made of pixels (picture elements) with number values determining brightness.
  • Pixel: Smallest element of an image.
    • Has a gray value range, stored in bytes.

Spatial Resolution

  • Spatial Resolution: Related to pixel size; smaller pixels = higher resolution.
    • Larger matrix with smaller pixels offers better resolution.

Field of View

  • Field of View: Size of area being imaged.
    • Collimation: Adjusting field of view to enhance image quality.

Pixels and Voxels

  • Voxel: 3D equivalent of a pixel; computer processes images in binary (0 or 1).
    • Bits and Bytes: 8 bits = 1 byte, with 256 possible gray values.

Image Properties

  • Pixel Bit Depth: Number of bits per pixel, affecting tonal range.
    • Greater bit depth = more tonal variation.
  • Pixel Pitch: Distance between centers of adjacent pixels; smaller pitch = better resolution.
  • Pixel Density: Number of pixels per unit area.

Sampling and Frequency

  • Sampling Frequency: Number of pixels sampled per mm, related to image scanning.
  • Nyquist Frequency: Relationship between sampling frequency and spatial resolution.

Analog to Digital Conversion

  • ADC (Analog to Digital Converter): Converts x-ray signals to digital images.

Dynamic Range and Exposure Latitude

  • Dynamic Range: Range of x-ray intensities the detector can differentiate.
    • Wider dynamic range allows for technique errors while maintaining image quality.

Image Noise

  • Image Noise: Often from scatter radiation; primarily from the patient.
    • Controlled through technique and collimation.
    • Quantum Noise: Due to insufficient exposure (mass).

Signal-to-Noise Ratio (SNR)

  • SNR/CNR: Ratio of signal reaching the receptor versus noise level.

Histogram

  • Histogram: Graphical display of pixel intensities, crucial for selecting correct settings.

Spatial vs Contrast Resolution

  • Spatial Resolution: Detail and clarity, ability to distinguish borders.
  • Contrast Resolution: Density differences in neighboring regions.
    • Controlled by lookup tables in digital imaging.

Modulator Transfer Function (MTF)

  • MTF: Ability of a system to represent spatial frequencies.
    • Scaled from 0 to 1; closer to 1 indicates better resolution.

Look-Up Tables and Window Levels

  • Lookup Table: Expected data values, control image appearance.
  • Window Level: Controls image brightness.
  • Window Width: Controls image contrast and grayscale.
    • Wider width = more gray levels (low contrast), narrower width = high contrast.

Key Comparisons

  • Penguins (high contrast, black and white) vs. Elephants (low contrast, more gray).
    • Visual metaphor for understanding contrast differences.