Acceptance testing validates performance. ⢠Quality control verifies .... EDR, automatic mode (Fuji). â Segmentation
Computed Radiography: Acceptance Testing and Quality Control
Introduction CR is the primary means to capture 2D images in a PACS environment • Acceptance testing validates performance • Quality control verifies optimal operation
J. Anthony Seibert, Ph.D. University of California Davis Department of Radiology Sacramento, California
Considerations: • Knowledge of CR attributes and operation • Understanding the tests • Determining appropriate results
Presentation Outline
Computed Radiography (CR) ...is the generic term applied to an imaging system comprised of:
Overview of CR How does it work? What are the issues?
Photostimulable Storage Phosphor
to acquire the xx-ray projection image
Acceptance test procedures What tests? Why? Quality control When ?
CR Reader
How?
to extract the electronic latent image
Digital electronics
to convert the signals to digital form
What?
How often?
CR Image Acquisition 1. X-ray Exposure Patient
5.
unexposed
2.
Image Reader X-ray system
2. Display
3.
Image Scaling
Computed Radiograph
1. Acquisition
Digital to Analog Conversion
Transmitted xx-rays through patient Digital processing
4.
Image Record
Analog to Digital Conversion
exposed
Phosphor plate
Digital Pixel Matrix
Charge collection device
X-ray converter x-rays → electrons
3. Archiving
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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CR Networking
Film laser printer
CR Reader
• PACS and DICOM – Digital Imaging COmmunications in Medicine – Provides standard for modality interfaces, storage/retrieval, and print
• Modality Worklist Input (from RIS via HLHL-7) DICOM
• Technologist QC Workstation – Image manipulation and processing – Processed / Unprocessed images
CR - QC Workstation
• DICOM image output
PACS SoftSoft-copy review
Stimulation and Emission Spectra
CR: How does it work? Photostimulated Luminescence t
recombination
4f 6 5d
F/F+
PSL 3.0 eV
t
e-
Laser stimulation
Energy Band BaFBr 8.3 eV
2.0 eV
Eu
Emission
Optical Barrier
Conduction band tunneling
Relative intensity
t
phonon
BaFBr: Eu2+
Stimulation
1.0
0.5 Diode 680 nm
4f 7
Eu
3+
/ Eu 2+
Incident x-rays
e
Valence band PSLC complexes (F centers) are created in numbers proportional to incident xx-ray intensity
0.0
800
1.5
PSL Signal
PMT
Exposed Imaging Plate
Light Scattering
Photostimulated Luminescence
Protective Layer
2
f-θ lens
Laser Source Polygonal Mirror
Laser beam: Scan direction
Phosphor Layer
Laser Light Spread
"Effective" readout diameter
1.75
Reference detector
Light guide
600
500 2.5
400
300
3
4
λ (nm)
Energy (eV)
CR: Latent Image Readout
Photostimulated Luminescence Incident Laser Beam
700
Base Support
Cylindrical mirror Light channeling guide
Output Signal PMT
ADC ADC
x= 1279 To1333 image y= processor z= 500
Plate translation: SubSub-scan direction
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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Phosphor Plate Cycle PSP
SubSub-scan Direction
Typical CR resolution:
Base support
x-ray exposure
Plate translation reuse
35 x 43 cm -- 2.5 lp/mm (200 µm) 24 x 30 cm -- 3.3 lp/mm (150 µm) 18 x 24 cm -- 5.0 lp/mm (100 µm)
plate exposure: create latent image laser beam scan plate readout: extract latent image light erasure
Screen/film resolution:
Laser beam deflection
plate erasure: remove residuals
7-10 lp/mm (80 µm - 25 µm)
Computed Radiography • Acquisition, Display and Archive are separate functions • Variable speed detector – 20 to 2000 speed
• Wide dynamic range – 0.01 to 100 mR
Exposure Latitude: Dynamic Range Film
Signal output
Scan Direction
CR
100:1 10000:1
• Image processing is a crucial requirement
Log relative exposure
Raw image
Processing the Image • Image prepre-processing
• Inherent subject contrast displayed
– Find pertinent image information (histogram analysis) – Scale data to an appropriate range
• Contrast inverted (to screenscreen-film)
• Contrast enhancement
• PSL signal amplitude log amplified
• Spatial frequency enhancement
– Anatomy specific grayscale manipulation
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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Histogram analysis
Finding the Image Location
• Frequency distribution of pixel values within a defined area in the image
• Image recognition phase – Collimation (Agfa) – EDR, automatic mode (Fuji)
• Shape is anatomy specific
– Segmentation (Kodak)
• Sets minimum and maximum “useful” pixel values
• Finding collimation borders and edges
Histogram:
Frequency
1
4
4
4
1
4
2
2
2
4
4
2
3
2
4
4
2
2
2
4
1
4
4
4
1
Frequency
Histogram Distribution
frequency distribution of pixel values in an image
16 14 12 10 8 6 4 2 0
0
1
2
Value
Pixel value Useful signal The shape is dependent on radiographic study, positioning and technique
1023 Frequency of Digital Number
Direct x-ray area
Frequency
Anatomy
5
Histogram Distribution
Histogram Distribution Collimated area
3 4 Value
Q2
Digital value
511
S1 0.01mR 0.1mR
SK 1mR
Q1 0
S2 10mR
100mR
Latitude (L) 20000
2000
200
20 2 Sensitivity (S)
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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Data conversion
Input to output digital number 1,000
102 101 100 10-1
511 1023 10-1 100 101 102 103 0 Raw Digital Output Exposure input min
600 400 200 0
600 400 200
200 600 1,000 Input digital number
0 0
max
1. Find the signal
2. Scale to
3. Create film
range
to 8323
to 9368 800
800
Frequency
Output digital number
Relative PSL
Exposure into digital number
Histogram
Histogram: pediatric image
Grayscale transformation
200
400
600
800
1000
Digital value
Useful image range for anatomy
looklook-alike
Data conversion for overexposure Exposure into digital number
Relative PSL
Reduce overall gain
102 101 100 10-1
Exposure input
PrePre-processed “raw” image
Scaled and inverted: “unprocessed” image
10-1 100 101 102
0
511
1023
Raw Digital Output
overexposure
Screen-Film
Underexposed
103
min
max
(scaled and log amplified)
Computed Radiography
Overexposed
Underexposed
Overexposed
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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Data conversion for wide latitude
ScreenScreen-Film 80 kVp, 18 mAs
Exposure into digital number
CR
80 kVp, 64 mAs
80 kVp, 18 mAs
Change gradient (auto mode)
Relative PSL
102 101 100 10-1
Exposure input
10-1 100 101 102 103
low kVp (wide range)
0
511
1023
Raw Digital Output (scaled and log amplified) min
400 speed screen - film
max
L=4, wide latitude
LookLook-upup-table transformation
Contrast Enhancement
1,000
Output digital number
• Optimize image contrast via nonnon-linear transformation curves • Unprocessed images display linear “subject contrast” – “Gradation processing” (Fuji) – “Tone scaling” (Kodak) – “MUSICA” (Agfa)
M
E
L
A
800 600
GT
Gradient Type
Fuji System
Example LUTs
400 200 0
0
200
400
600
800 1,000
Input digital number
Spatial Frequency Processing “Edge Enhancement”
Response
Solid: Original originalMTF response Edge Enhanced: Difference: Dash: low pass filtered Difference Original Original - + filtered
Raw
Unprocessed
Contrast Enhanced
Sum
low low low
Original
Blurred
high high high
Spatial frequency
Difference
Edge enhanced
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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Fuji CR Parameter Settings LUT shape parameters
Anatomy Anatomical region General chest (LAT) General chest (PA) Port Chest GRID Port Chest NO GRID Peds chest NICU/PICU Finger Wrist Forearm Plaster cast (arm) Elbow* Upper Ribs* Pelvis* Pelvis portable Tib/Fib Tib/Fib Foot Foot* Os Calcis Foot cast C-spine T-spine Swimmers Lumbar spine Breast specimen
GA 1.0 0.6 0.8 1.0 1.1 0.9 0.8 0.8 0.8 0.8 0.8 0.9 0.9 0.9 0.8 1.2 0.8 0.8 1.1 0.8 1.2 1.0 2.5
GT B D F D D O O O O O O O O N O N O O F F J N D
GC 1.6 1.6 1.8 1.6 1.6 0.6 0.6 0.6 0.6 0.6 1.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 1.8 0.9 0.9 0.6
Frequency enhancement parameters
GS -0.2 -0.5 -0.05 -0.15 -0.2 0.3 0.2 0.3 0.4 0.4 0.0 0.2 0.2 0.25 0.3 -0.05 0.4 0.5 0.5 -0.05 0.3 0.4 0.35
RN 4.0 4.0 4.0 4.0 3.0 5.0 5.0 5.0 5.0 7.0 5.0 6.0 4.0 5.0 5.0 7.0 5.0 5.0 5.0 4.0 5.0 5.0 9.0
RT R R T R R T T T T T R T T F T T F F P T T T P
Recommended Acceptance Tests • Physical Inspection– Inspection–Inventory– Inventory–PACS Interfaces
RE 0.2 0.2 0.2 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.2 0.5 1.0 1.0
Acceptance Test / QC considerations • Image acquisition • ElectroElectro-Mechanical readout • Image processing • PACS / RIS interfaces • Image handling
Recommended Acceptance Tests • Noise / LowLow-Contrast Response
• Imaging Plate Uniformity and Dark Noise
• Distortion
• Signal Response: Linearity and Slope
• Erasure Thoroughness
• Signal Response: Exposure calibration and beam quality
• Artifact Analysis: Hardware/Software
• Laser Beam Function
• Positioning and collimation robustness
• High Contrast Resolution
• Imaging Plate Throughput
Acceptance test tools required
CR: Spatial Resolution • Phosphor plate sizes: impact on resolution
• Exposure meter/dosimeter • Spatial resolution phantom • Low contrast phantom • Vendor QC phantom (periodic tests) • SMPTE test pattern • Anthropomorphic phantom • Documentation log / spreadsheet / instructions
35x43 (14x17)
24x30 (10x12)
18x24 (8x10)
0.2 mm pixels
0.14 mm pixels
0.1 mm pixels
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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High Contrast (Spatial) Resolution 18 x 24 cm
MTF Curves
35 x 43 cm 1
MTF
0.8 PrePre-sampled MTF
ScreenScreen-film
0.6
Scan Subscan
0.4
Sampled MTF: Standard CR 0.2 2K x 2K matrix 35 x 43 cm
0
Photon absorption fraction
0
2 4 6 8 10 Spatial Frequency (lp/mm)
Low Contrast Response: Leeds TOTO-16
X-ray Absorption Efficiency 1
Hi res CR Standard CR
BaFBr, 100 mg/cm²
0.8
Gd2O2S, 120 mg/cm2
0.6 0.4 0.2 BaFBr, 50 mg/cm² 0
0
20
40
60
80
100
120
140
Energy (keV)
3.5 mR
70 kVp
0.5 mR
Uniformity 498
508
537
490
497
10 mAs
480
513
505
544
487
20 mAs
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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Radiation Dose for CR
Sensitivity number, S
• Variable Speed Detector
• Estimate of the incident exposure on the IP
• Optimal dose (UC Davis) – Adult chest image: – Neonates/pediatrics: – Extremities:
• Comparable to screenscreen-film “speed”
S=200S=200-300 S=400S=400-600 S= 7575-100
• Amplification required to map median value of histogram to 511 (0 to 1023 grayscale)
– Lower detection efficiency, luminance and readout noise
• Dependent on histogram shape and examination selected
• AntiAnti-scatter grids needed
Date: 7/10/98 Date: 7/10/98 Medical Medical Physicist: Physicist: Anthony Anthony Seibert, Seibert, Ph.D. Ph.D.
Location: Location: System System Identification: Identification:
UCDMC, UCDMC, ACC, ACC, 33 CR CR unit unit 33
Guidelines for QC based on Exposure
UC UC Davis Davis Medical Medical Center Center CR CR Reader Reader and and Screens Screens
Signal Signal Response: Response: Calibration Calibration and and Beam Beam Quality Quality
Sensitivity number
Note: Note: Use Use mAs mAs values values to to provide provide an an approximate approximate exposure exposure of of 11 mR mR to to the the IP. IP. Menu Menu == TEST TEST IP ST14x17 14x17 IP Type: Type: ST IP IP SN: SN:
Exposure Exposure Conditions Conditions
SubMenu SubMenu==Ave Ave2.0 2.0
Focal Focalspot spot
Time Timedelay delay
SID SID(cm) (cm)
SMD SMD(cm) (cm)
LL == 2, 2, EDR EDR == semi semi
1.2 1.2 mm mm
~2 ~2 min min
140 140
130 130
kVp kVp Dependency Dependency kVp kVp
Filtration Filtration
m mAs As
m mR-m R-meter eter
60 60 80 80 115 115
11 Al/0.5 Al/0.5 Cu Cu 11 Al/0.5 Al/0.5 Cu Cu 11 Al/0.5 Al/0.5 Cu Cu
15.00 15.00 4.5 4.5 1.13 1.13
1.06 1.06 1.06 1.06 1.14 1.14
Filtration Filtration
m mAs As
m mR-m R-meter eter
80 80 80 80 80 80
none none 11 Al/0.5 Al/0.5 Cu Cu 1Al/2.5Cu 1Al/2.5Cu
0.50 0.50 4.50 4.50 60.00 60.00
0.96 0.96 1.06 1.06 0.99 0.99
1000 • 600 – 1000
SS SS (1mR) (1mR) 0.91 121.00 110.59 0.91 121.00 110.59 0.91 108.00 98.71 0.91 108.00 98.71 0.98 115.00 113.04 0.98 115.00 113.04 Maximum Difference: 14.33 Maximum Difference: 14.33 m mR-IP R-IP
Filtration Filtration Dependency Dependency kVp kVp
Indication
SS(1mR) (1mR) 70 70
90 90 kVp kVp
110 110
130 130
20.00 20.00 0.00 0.00 none none
SS(1mR) (1mR) 11 Al/0.5 Al/0.5 Cu Cu Filtrati Filtration on
1Al/2.5Cu 1Al/2.5Cu
Sensitivity number, S • Imaging plate (HR vs. ST) differences • Examination specific histogram shapes – S number varies with examination type
• EDR mode effects – Automatic (determines S1 and S2 values on histogram) – SemiSemi-automatic (average value within ROI) – Fixed (system acts like screenscreen-film detector)
• X-ray beam spectrum effects
What S value is appropriate? • Determined by examination – Adult exams (CXR, abdomen, etc) – Extremities (ST plates) – Pediatrics
UCDMC targets 150 – 300 75 – 150 300 – 600
• CR’s variable speed should be used to advantage • Anatomical information can be lost with too high or too low exposure
– S number varies with beam hardness (calibration required)
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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Adult portable chest calculated exposures First half, 1994, 4572 exams 38.3%
600
53.9%
7.8%
Adult portable chest calculated exposures Second half, 1994, 4661 exams
Target exposure range
600
500
3.4%
Q3
300
Q4
Target exposure range
Low
High
Low
Incident Exposure
Other 12%
“Exposure Creep”
180 180 160 160 140 140 120 120 100 100 80 80 60 60 40 40 20 20 0 0
1 100 000 6600 00-6699 99 5500 00554 99 4400 00-4444 99 3355 0-3 74 7 4 3300 00-3322 44 2255 002277 44 2200 00-222 1155 244 00-1177 44 1100 0-1 2244 5500 --77 44
Number of examinations
73.5%
500
400
500
#exams
23.1%
Sensitivity number
Radiation Dose for CR • Variable Speed Detector • Optimal dose for typical adult chest image is 2X higher than 400 speed screen/film – Lower absorption efficiency – Quantum and electronic noise – Readout inefficiencies of latent image
• AntiAnti-scatter grids necessary for most procedures
Wrong exam 5%
High
Repeated Examinations with CR
Motion 6%
Positioning 46%
Reprinting 9% Underexposure 10% Overexposure 12%
Total # repeats = 1043 from Willis, RSNA 1996
AEC adjustment procedures • A 200200-speed equivalent exposure is desirable • Empirically determine AEC setting(s) with simple uniform phantoms • UCDMC technique: use “fixed” mode (S=200) and sensitivity test menu; adjust AEC response according to changes in film optical density • Verify settings with semisemi-auto mode • Verify patient exposure “S” number; recheck often
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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Date: 7/10/98 Date: 7/10/98 Medical Medical Physicist: Physicist: Anthony Anthony Seibert, Seibert, Ph.D. Ph.D.
Location: Location: System System Identification: Identification:
UCDMC, UCDMC, ACC, ACC, 33 CR CR unit unit 33
Problem areas
UC Davis Medical Center CR CR Reader Reader and and Screens Screens
Inspection Results Summary
• FilmFilm-based performance measurements Acceptab Acceptable le
1. 1. Physical Physical Inspection Inspection -- Inventory Inventory 2. 2. Imaging Imaging Plate Plate Uniformity Uniformity and and Dark Dark Noise Noise 3. 3. Signal Signal Response: Response: Linearity Linearity and and Slope Slope 4. 4. Signal Signal Response: Response: Calibration Calibration and and Beam Beam Quality Quality 5. 5. Laser Laser Beam Beam Function Function 6. 6. High-Contrast High-Contrast Resolution Resolution 7. 7. Noise/Low-Contrast Noise/Low-Contrast Response Response 8. 8. Distortion Distortion 9. 9. Erasure Erasure Thoroughness Thoroughness 10. 10. Anti-Aliasing Anti-Aliasing 11. 11. Positioning Positioning and and Collimation Collimation Errors Errors 12. 12. Throughput Throughput
Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes* Yes* Yes Yes Yes Yes Yes Yes
• Digital image analysis tools and evaluation methods not readily available • Low contrast resolution measurements • Lack of a standardized QC phantom
Comments: Comments:
Quality Control Three levels of system performance quality control 1. Routine: Technologist level - no radiation measurements
2. Full inspection: Physicist level
Periodic Quality Control • Daily (technologist) – Inspect CR system and status. – Interfaces: PACS broker, ID terminal, QC workstation
- radiation measurements and nonnon-invasive adjustments
3. System adjustment: Vendor service level
– Erase image receptors (if status unknown).
- hardware and software maintenance
Periodic Quality Control • Weekly / Biweekly (technologist) – Calibrate review workstation monitors (SMPTE). – Acquire QC phantom test images. Verify performance. – Check filters / vents and clean as necessary.
Periodic Quality Control • Quarterly (Technologist) – Inspect cassettes. Clean with recommended agents. – Review image retake rate and exposure trends. – Update QC log. Review outout-ofof-tolerance issues.
– Clean screens with recommended agents.
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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Periodic Quality Control • Annually (Physicist)
What is needed? • Computer friendly phantoms
– Perform linearity / sensitivity / uniformity tests – Inspect / evaluate image quality
• Objective quantitative analysis methods • System performance tracking and database logs
– ReRe-establish baseline values (Acceptance Tests)
• Exposure monitoring tools and database tracking
– Review retakes, exposures, service records.
Fuji
Agfa
Line pair phantoms (contrast transfer tests)
Lumisys
Home built
Diagonal bar (laser jitter test)
40 line/cm grid (visual aliasing)
Fiducial Markers (distance accuracy)
Lead attenuator (dynamic range) Resolution Bar Pattern (qualitative)
Notches (geometric accuracy tests)
Step wedge (signal, signal to noise and linearity response tests)
Open area (scan uniformity test)
Copper step wedge (dynamic range, linearity, SNR)
Edge for Presampled MTF
Single exposure, qualitative and quantitative
Additional Information / Help • AAPM Task Group #10 document: • Email: jaseibert@ jaseibert@ucdavis. ucdavis.edu
• Dr. Ehsan Samei spreadsheets – http://deckard .mc.duke.edu edu/~ /~samei samei/downloads /downloads http://deckard.mc.duke.
• Vendor efforts for QC phantom development and analysis
Summary • CR is the mainstay for direct digital acquisition of projection radiographs • CR acceptance testing and QC are essential for optimal operation • A TEAM
approach is necessary
– Technologists, Radiologists, Physicists, – Clinical Engineering, Information System Group
Computed Radiography: Acceptance Testing and Quality Control -- J.A. Seibert, Ph.D.
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