X-ray cannot show differences in tissue contrast that are less than..
10% (contrast resolution)
____ and ____ are fixed and limited in film?
Optical range and contrast (you cannot window them)
The 4 steps in the digital process
Data Aquisition Image Processing Image display, storage, and communication Image Formations and Representation
Data Aquisition
First step in the digital process Attenuated data is collected by the detectors Output signal is an electrical signal which is analog Must go through the ADC to become a digital signal for computer processing
Image Processing
Performed by the digital computer Takes the input digital image and processes it to produce an output image in the digital binary form
Image Display, Storage, and Communication
The output digital image must be converted into an analog signal before it can be displayed on the monitor using the DAC Can be stored on a disk or sent electronically through networks
Image Formations and Representations of Analog Images
Analog images are continous images - X-ray images
Image Formation and Representations of Digital Images
Numerical representations or images of objects Requires a digital computer Any info entered into a computer must be converted into digital form (numbers) ADC - converts continuous signals to discrete signals
Digital Image Processing
Converting an input image into an output image Both analog - analog processing Both digital - digital processing CT is based on reconstruction processes where a digital image is changed to a visable physical image
Process
A series of operations or actions leading to a desired result
Spatial Location Domains
Used in CT and radiography The digital image is a numerical image arranged in a grid so the location of each number can be identified using the x-y coordinate system x - columns y - rows (0,0) upper left corner
Spatial Frequency Domains
Used in MRI
Image domains
Digital image processing can change one domain into another domain Use the Fourier Transform for this task
Characteristics of a digital image
Matrix Pixel Voxel Bit Depth
Matrix
A 2 dimensional array of numbers that make up a digital iamge Consists of columns (M) and rows (N) that are broken up into pixels Dimensions are M x N x k bits Matrix size = FOV - selected by the tech In CT we use 512 x 512
Pixels
Make up the matrix Contains a number that represents the brightness level This number is related to the atomic number and mass density of the tissue Pixel size = FOV/Matrix size Larger the matrix the smaller the pixels and better spatial resolution
Voxels
Volume of tissue in the patient represented by pixels Info is converted into numbers contained in the pixels Numbers are assigned brightness levels Higher numbers - high signal intensity, bright white Low numbers - low signal intensity, dark
Bit depth
Number of bits in a pixel M x N x k bits Binary system uses a base of 2 Each pixel will have 2x gray levels In CT we use a bit depth of 12
Matrix size effects ______?
spatial resolution (detail) Smaller the pixel, the better the detail
Bit depth effects ______?
Contrast Resolution (The number of shades of gray) More bit depth - more shades of gray
Image Digitization
Converting an analog signal into numerical data
3 steps of digitizing
Scanning Sampling Quantization
Gray Scale
Total number of grays Number of grays depends on bit depth
ADC Conversion
Measures the analog signal at various times to measure its strength at different points Sampling is followed by quantization
Speed
Time taken to digitize the analog signal
Accuracy
More smaples you take the more accurate the representation of the digital image
Aliasing
Not enough samples are taken and the image is not accurate after computer processing
Point Operations
Most frequently used image processing technique Value of the input pixel is mapped on the corresponding output pixel
Gray level mapping
Also know as windowing or point operations 1. Uses a LUT 2. Changes the brightness 3. Which modifies the histogram
Local Operations
Image processing which the output pixel is determined from a small area of pixels areound the corresponding input pixel Deals with spatial frequency
Spatial Frequency Filtering
If a brightness of an image changes quickly it is high spatial frequency Can use this is spatial domain and frequency domain
Convolution
Filter in the spatial location domain Output pixel is calculated by multiplying each input pixel by its corresponding weighting factor Process is applied to all of the pixels in the input image Each calculation requires 9 multiplications and 9 additions
Spatial Frequency Filtering Categories
High Pass Filtering Low Pass Filtering Unsharp (blurred) Masking
High Pass Filtering
Edge enhancement or sharpness Sharpen an input image in the spatial domain that appears blurred Spatial location is converted to spatial frequency and then uses a high pass filter to surpress the low spatial frequencies
Low Pass Filtering
Smoothes the input image Output image will appear blurred Reduces noise and brightness Detail is comprimised
Unsharp (Blurred) Masking
Takes the blurred image produced by the low pass filtering and subtracts it from the original image
Global Operations
Entire image is used to compute the value of the pixel in the output image Common global operation is the FT
Geometric Operations
Modifies the spatial position or orientation of the pixels in an image Results in the scaling and sizing of images and roations and translation
Image Compression
Using software and hardware to reduce information by removing uncessary data Remaining data is encoded and either transmitted or stored
Decompression
User's equipment later decodes the informations and fills in a representation of the data that was removed
Lossless (reversible)
No info lost Does not use quantization 2:1 3:1
Lossy (irreversible)
Some info is lost Uses quantization 10:1 or higher
Low compression ratios are?
8:1 and lower Image is still virtually acceptable
Compression Tolerance
Maximum compression in which the decompressed image is acceptable for interpretation and aesthetics
As compression ratios increase?
Need less storage space and faster transmission speeds But bad image quality Study by Haung 8:1 or less is visually acceptable