Chapter_008+Digital+Imaging
Chapter 8: Digital Imaging
Copyright Notice
- Copyright © 2017 by Elsevier, Inc. All rights reserved.
Learning Objectives
- Define the key terms used in digital imaging
- List the equipment needed to perform digital imaging
- Explain the computed radiography (CR) digital system
- Explain the digital radiography (DR) system
- Compare CR and DR digital systems
- Recognize the importance of using exposure technique charts with digital imaging
- Describe the processing and postprocessing of a digital image
- Explain what a picture archival and communications system (PACS) is and how it is used
- Explain the DICOM and DICOM grayscale
Digital Imaging Overview
- Digital imaging involves the production, processing, viewing, and storage of images on a computer.
- Computer networks enhance the capability of image viewing from locations outside the medical facility.
- Types of digital imaging:
- Computed Radiography (CR)
- Digital Radiography (DR)
Computed Radiography (CR)
- CR utilizes cassettes filled with photostimulable phosphor plates to obtain images.
- A CR system comprises:
- CR reader for image processing.
Digital Radiography (DR)
- DR is referred to as “cassette-less” because the flat-panel detector is integrated into the x-ray table or the upright wall unit.
- Images in DR are ready for viewing within seconds.
- Two types of flat-panel detectors:
- Indirect-conversion: Converts x-rays to light.
- Direct-conversion: Converts x-rays directly to an electric charge.
Indirect-conversion Detectors
- Features:
- Scintillator (cesium iodide): Converts X-rays into visible light.
- Photodiode (amorphous silicon): Converts light into an electric signal.
- Thin Flat Panel Transistor (TFT): Acts like a switch that sends electrical signal to the image processor using an analog-to-digital converter.
- Charged Couple Device (CCD): Converts light photons into electrical signals.
- Complementary Metal Oxide Semiconductor (CMOS): Converts light into a digital signal utilizing photosensitive pixels along with on-chip circuitry.
Direct-conversion Detectors
- Non-scintillation method:
- Semiconductor (amorphous selenium): Directly converts X-ray photons into electric charge.
- Thin Flat Panel Transistor (TFT): Functions similarly as in indirect-conversion, manages the signal processing using an analog-to-digital converter.
Matrix and Pixel
- Pixel (picture element): The fundamental building block of digital images.
- Matrix: A collection of pixels which together forms the image.
- Matrix size: Total number of pixels determines the resolution.
Spatial Resolution
- Defined as the ability of an imaging system to differentiate between two nearby objects.
- Related characteristics include:
- Pixel size: A measure of resolution.
- Pixel pitch: The distance between pixels in an image; smaller distance results in enhanced image resolution.
- Detector Elements (DEL): Structure of matrix pixels that collect electric charge and send a signal.
- DEL size: This determines the resolution of the image.
- Fill factor: Percentage of pixel area sensitive to the image signal (electric charge or light photons).
- Matrix Size and Sampling Frequency: Essential components related to capturing the image.
- Refers to the system's capacity to distinguish differences in intensity in an image.
- Dynamic Range: Shows how the detector responds to varying levels of radiation.
- Signal to Noise Ratio (SNR): Measures the capacity of the digital system to convert the x-ray input electric signal into a useful radiographic image; defined as:
- Signal: Useful information.
- Noise: Non-useful information.
- Quantum noise (quantum mottle): Occurs when there aren’t enough photons reaching the detectors, compromising image quality.
- Contrast to Noise Ratio (CNR): A measure of image quality based on contrast instead of raw signal.
- Ability to discern differences in intensity within an image.
- Bit depth: Simultaneously defines the number of bits per pixel, which determines grayscale.
- Modulation Transfer Function (MTF): Measures contrast at a specific spatial frequency.
- Detective quantum efficiency (DQE): Metrics quantifying the combined impact of signal and noise performance of the imaging apparatus.
Digital Processor Functions
- Processes fundamental aspects of digital images:
- Window Level: Controls density in the image.
- Window Width: Controls contrast of the image.
- Brightness: Overall lightness or darkness of the image.
- Shuttering: Blackens out white collimation borders.
- Image Stitching: Compiles multiple images into one.
- Image Annotation: Allows addition of textual information to the image.
- Edge Enhancement: A technique enhancing image sharpness and contrast.
Image Processing and Display
- Raw Data Processing:
- Analog-to-Digital Converter (ADC): Converts stored analog information into digital values.
- Quantization: Transforms a continuous tone image into a digital image by sampling to form a matrix of grayscale values.
- Corrections Initiated During Processing:
- Rescaling: Adjusts exposure to suit image requirements.
- Flat Fielding: Corrects shading nonuniformity in images.
- Dead Pixel Correction: Uses surrounding pixels to fill in lost information.
- Smoothing: Averages frequency of each pixel with its neighbors to minimize noise.
Data for Display
- Look Up Table (LUT): Process employed to ensure desired contrast in images.
- Values of Interest (VOI): Identifies the relevant range of histogram data that should be depicted in the final image.
Exposure Technique Charts
- Vital for image manipulation regarding contrast and density, although they do not diminish the necessity for technique charts.
- Usage focuses on selecting parameters like mA, kVp, and time to prevent unnecessary patient exposure.
- Emphasizes practice of ALARA (As Low As Reasonably Achievable).
- Misuse of settings for high exposure to avoid repeat imaging is considered unethical.
Exposure Indicators
- Metrics indicating how much exposure