Title: Fundamentals of Digital Radiology
1Fundamentals of Digital Radiology
George David Medical College of Georgia
2 3What we mean by Digital
Filmless Department
- Digital Radiographs
- PACS
- Picture Archival Communication Systems
- Reading from Monitors
4What we really mean by Digital
No more File Room!!!
5Expectations for Digital
- All images available on-line
- new images
- old / comparison images
- images from all modalities
- Convenience
- Eliminate file room headaches
- lost / stolen films
- Reduce report turn-around time
6Important Considerations
- Resolution needed
- Changing role of radiologists with referring
physicians - everyone has instant access to all images
- Security
- Cost
7Digital Image Formation
Clinical Image
Screen Wire Mesh
8Digital Image Formation
9Digital Image Formation
- Assign each square (pixel) a number based on
density - Numbers form the digital image
194
73
22
10Digital Image Formation
- The finer the mesh, the better the digital
rendering
11What is this?
12 X 9 Matrix
12Same object, smaller squares
24 X 18 Matrix
13Same object, smaller squares
48 X 36 Matrix
14Same object, smaller squares
96 X 72 Matrix
15Same object, smaller squares
192 X 144 Matrix
16Numbers / Gray Shades
- Each number of a digital image corresponds to a
gray shade for one picture element or pixel
17So what is a digital image?
- Image stored as 2D array of s representing some
image attribute such as - optical density
- x-ray attenuation
- echo intensity
- magnetization
18Computer Storage
- 125, 25, 311, 111, 182, 222, 176, 199, 192, 85,
69, 133, 149, 112, 77, 103, 118, 139, 154, 125,
120, 145, 301, 256, 223, 287, 256, 225, 178, 322,
325, 299, 353, 333, 300
19Digital Copies
If youve got the same numbers ...
20Digital Copies
- then you have an identical copy
21Copies
- Digital copies are identical
- All digital images are originals
- Film copies never identical to original
- may be substantially degraded
- loss of original information
22The Bit
- Fundamental unit of computer storage
- Only 2 allowable values
- 0
- 1
- Computers do all operations with 0s
1sBUTComputers group bits together
23Special Binary Digit Grouping Terms
- Nibble
- 4 binary bits (0101)
- Byte
- 8 binary bits (1000 1011)
- Word
- 16 binary bits (1100 0100 1100 0101)
- Double Word
- 32 binary bits(1110 0100 0000 1011 0101 0101
1110 0101)
24Abbreviations Review
- Bit (binary digit)
- Smallest binary unit has value 0 or 1 only
- Byte
- 8 bits
- Kilobyte
- 210 or 1024 bytes
- sometimes rounded to 1000 bytes
- Megabyte
- 213 or 1,048,576 bytes or 1024 kilobytes
- sometimes rounded to 1,000,000 bytes or 1,000
kilobytes
25Computer Storage
- Storage Pixels X Bytes/Pixel
- Example 512 X 512 pixels 1 Byte / Pixel
- 512 X 512 pixel array
- pixels 512 X 512 262,144 pixels
- Storage 262,144 pixels X 1 byte / pixel
262,144 bytes 256 KBytes .25 MBytes
26Image Matrix
- Doubling the matrix dimension quadruples the
pixels
2 X 2 Matrix 4 pixels
4 X 4 Matrix 16 pixels
27Image Matrix
Doubling the matrix dimension quadruples pixels
- A 10242 matrix compared to a 5122 matrix
quadruples - disk storage requirements
- image transmission time
- digital image manipulation
Matrix Pixels 512 X 512 gt
262,144 1024 X1024 gt 1,048,576 2048 X2048 gt
4,194,304
28Matrix Size Resolution
- More pixels better spatial resolution
29 of unique values which can be represented by 1
bit
2 unique combinations / values
1
2
30 of unique values which can be represented by 2
bits
1
2
4 unique combinations / values
3
4
31 of unique values which can be represented by 3
bits
5
1
6
2
7
3
8
4
8 unique combinations / values
32Digital Image Bit Depth
- the number of computer bits (1s or 0s)
available to store each pixel value
Values
Bits
Values
1 2 3 . . . 8
0, 1 00, 01, 10, 11 000, 001, 010, 011, 100, 101,
110, 111 . . . 00000000, 00000001, ... 11111111
2 1 2 2 2 4 2 3 8 . . . 2 8 256
33Digital Image Bit Depth
- bit depth indicates of possible brightness
levels for a pixel - presentation of brightness levels
- pixel values assigned brightness levels
- brightness levels can be manipulated without
affecting image data - window
- level
34Bit Depth Contrast Resolution
- The more bits per pixel the more possible gray
shades and the better contrast resolution.
2 bit 4 grade shades
8 bits 256 grade shades
35Image Size
- Related to both matrix size bit depth
- higher (finer) matrix requires more storage
- doubling matrix size quadruples image size
- higher bit depth requires more storage
- doubling bit depth theoretically doubles image
size - Computer may require storage in multiples of 8
bits (bytes) - 10 or 12 bits stored in 16 bit slot
- alters image size requirements
36Image Compression
- reduction of digital image storage size by
application of algorithm - for example, repetitive data could be represented
by data value and repetitions rather than by
repeating value
jpg
37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37,
37, 37, 37, 37, 37, 37, 37, 37
gif
(20) 37s
37Image Compression
- Image Decompression
- calculating original digital image from
previously compressed data - Compression Ratio
- original image size-----------------------
---------compressed image size - ratio depends upon
- data to be compressed
- algorithm
38Compression Types
- Reversible Compression
- Image decompresses to original pixel values
- Low compression ratios only
- Non-reversable Compression
- Decompressed images pixel values not necessarily
identical to original - much higher compression ratios possible
- variation from original image may or may not be
visible or clinically significant
39Non-Reversable Compression
- variation from original image generally increases
with increasing compression ratio - but a higher compression ratio means less storage
requirements - variation less noticeable for dynamic (moving)
images than for still images such as radiographs
40Where do Digital Images Come From?
- Direct Digital
- MRI
- CT
- Computed Radiography (CR)
- direct digital TV output (CCD TVs)
- Digitization of an Analog Image
- Film Digitizers
- Video Frame Grabbers (requires good low noise
video signal) - teleradiology TV looking at viewbox
- digitizing of fluoroscopic video
41Film Digitizer
- films stacked in input tray
- film pulled through digitizer
- CCD measures transmission from collimated light
source - optical density
42Film Digitizers
- Expensive
- faster models cost more
- Patient Demographics
- input manually
- DICOM assistance
- Digitizers can have artifacts
43Computer Radiography (CR)
- Re-usable metal imaging plates replace film
cassette
44Computer Radiography (CR)
- plate is photostimulable phosphor
- radiation traps electrons in high energy states
- higher statesform latent image
45Reading Imaging Plate
- plate scanned with laser
- Releases electrons trapped inhigh energy states
- electrons fall to lowenergy states
- electrons give upenergy as visible light
- light intensity ismeasure of incident radiation
Lower Energy Electron State
46Reading Imaging Plate
- Reader scans plate with laser light using
rotating mirror - Plate pulled through scanner by rollers
- Light emitted by plate measured by PM tube
recorded by computer
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47CR Operation
- after read-out, plate erased using bright light
- plate can be re-used
- digital image can be
- printed on film
- Read on-line
48CR Comments
- Throughput
- CR reader must finish reading one plate before
reading next - Film processors run films back-to- back
- Latitude
- Plate responds to many decades of input exposure
- Much greater latitude than screen/film
- Computer scales input exposure to viewable
densities - Unlike film, receptor separate from viewer
49Digital Radiography (DR)
- Direct digital output
- No processor / reader
- Images available virtually immediately
- Greater throughput
50Digital Radiography (DR)
- Potentially lower patient dose
- High latitude as for CR
- Built into imaging equipment
- Fragile
- requires special attention for use with portable
x-ray equipment
51Digital Radiography (DR)
- Direct imaging
- X-rays interact with semiconductor material
- Amorphous selenium
- X-rays converted directly into electrical charge
- Indirect imaging
- X-ray strike scintillator producing light
- Photodiode array converts light to electrons
52Digital Radiography (DR)
- Indirect imaging
- uses light and photodiodes
- Light spreads / scatters
- Can degrade resolution
- Both direct indirect read-out digitally
- Charge pattern stored in array
- Analog to digital conversion digitizes charge
pattern
53Digital Video
- Video Signal Digitized (Frame Grabber)
Image Tube
TV
Lens System
X-Ray Input
Amplfier
Analog to Digital Converter
Digital Memory (Computer)
54Teleradiology
- Frame grabbers used for teleradiology
- Quality depends upon
- TV camera
- viewbox
- can have artifacts from lighting
- matrix size
- affects transmission speeds
- display quality
55Digital Spot Films
- Frame grabber or CCD TV digitizes image
- Radiographic Technique used
- required to control quantum noise
- High-quality camera required
- high signal to noise
- Operationally nice
- allows review of images in exam room
- allows image manipulation
- allows later selection of images for printing
56Digital Fluoroscopy
- TV Image digitized real-time
- Digitized image can be manipulated / enhanced
real-time
57Last Image Hold
- computer displays last fluoro image after
radiation shut off - allows operator to review static processes
without beam - ideal for teaching environments
- ideal for orthopedic applications such as hip
pinning - Reduces dose for patient, staff
58Frame Averaging
- Normal fluoro
- only current frame displayed
- Frame averaging
- computer calculates average of current
user-selectable number of previous frames - reduces quantum noise
- lag results if too many frames averaged
59Other Fluoro Features
- Edge Enhancement / Image Filtering
- real-time
- Can be turned on and off
- Option of using lower frame rates
- computer displays last image until next one
- reduces flicker
- dynamic studies may be jumpy
60Digital Fluoroscopy and Special Procedures / Cath
Lab Applications
- Up to 60 frames per second
- immediate replay
- cine loop replay
61Digital Subtraction
- Immediate replay of run
- Free selection of mask
- before or after bolus
- gt1 frame may be averaged for mask
- Note
- subtraction adds noise
62Registration
- matching anatomy between two images to be
subtracted - compensates for motion
- registration adjustments
- often fine adjustment down to 1/10 pixel
- registration types
- translational (left, right, up, down)
- rotational
- warp
63Digital Image Manipulations
- on-screen measurements
- distances
- angles
- volumes/areas
- stenosis
- image annotation
- peak opacification / roadmapping
- peak opacification displays vessels after a test
injection - allows visualization of live catheter on top to
saved image of test injection
64CR/DR Advantages
- post-processing manipulation possible
- tremendous latitude
- virtually no technique repeats
- DR faster than film
- CR operationally slightly slower than film
65Digital Disadvantages
- High up-front expenses
- CR many readers may be required for spread out
departments - DR new radiographic equipment required
- High resolution images very large
- Images require
- high speed transmission systems
- massive archival systems required
- Spatial resolution poorer than film
- May be offset by other advantages
66Digital Possibilities
- Multi-modality imaging / Image fusion
- PET/CT
67Digital and other Possibilities
- Tomosynthesis
- Multi-slice tomography from single pass
- Histogram Equalization
- Computer provides approximately equal density to
various areas in image.
68DR Energy Subtraction
- 2 images taken milliseconds apart at 2 kVps
- Combine / subtract images
Soft Tissue Image
Bone Image
69The End