qa for linac kv imaging systems -4442-40814...kv p accuracy & stability kvp fluctuations 100 105...
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QA for Linac KV Imaging QA for Linac KV Imaging SystemsSystems
J-P Bissonnette, D Moseley,T Purdie, E White, D Jaffray
Learning ObjectivesLearning Objectives
• Understand the reasoning behind QA– Define quality metrics– Analyse metrics for quality improvement
• Apply to a device: cone-beam CT
• Apply to an existing RT process
What is Quality?What is Quality?
• Several dimensions of quality– Technical specs– Staff/client education & credentials– Consistency of performance– Efficiency of service delivery– Continuity and timeliness– Safety– Human factors engineering
Applicable to devices and processes both
Quality MetricsQuality Metrics
• Analyse a process or device in each of its dimensions
• For each dimension:– What is it that can go wrong?– How does this risk impact quality?
• Define an output that can be controlled, measured, or quantified
Quality MetricsQuality Metrics
• Quantifiable measures of success– Recommended maintenance performed– Error rate less than 0.5%– 1 mm objects can be seen
• Can be statistically analysed
• Can be tracked and monitored
Risk AnalysisRisk Analysis
• Faulty mechanical design causing harm to patient?– FDA, EC, Health Canada– Preventative maintenance & daily visual checks
• System unreliable?– Buggy software, unstable components– R&D identifies these issues & report to users
Risk AnalysisRisk Analysis
• Fault resulting in poor image quality?– Portal imaging as a back-up system
• Excessive dose to the patient?– Validation of imaging techniques– Monitor tube output periodically
• Reports incorrect geometrical info?– Subtle, not immediately obvious– May impact success or failure of RT
ConeCone--beam CT: QA of a Devicebeam CT: QA of a Device
• Safety
• Geometric
• System stability
• Image quality
• System infrastructure
• Dose
Safety TestsSafety Tests
• Collision detectors on flat panels– Motion inhibits when activated
• X-ray tube deployment inhibit
• X-ray area monitors
• Grounding tests• Visual inspection for electrical hazards
ConeCone--beam CT: QA of a Devicebeam CT: QA of a Device
• Safety
• Geometric
• System stability
• Image quality
• System infrastructure
• Dose
GeometryGeometry
• Pixel size calibration
• MV and kV source alignment
• Flexmaps– Refresh periodically– Repeatability
• kV source positioning• Flat panel positioning• Each imaging position
Pixel Size at IsocentrePixel Size at Isocentre
0.52 mm/pixel
MV GeometryMV Geometry
• Imaging and treatment beams coincide
MV/kV CoincidenceMV/kV Coincidence
• Treatment is orthogonal to imaging
kV/MV Calibration ConceptkV/MV Calibration Concept
kV
BB (Reconstruction Iso-centre)
MV Mechanical isocentre
x
y
z
MV Radiation isocentre
Calibrated isocentre
MV/kV Calibration Procedure MV/kV Calibration Procedure
u
v
Results for Six UnitsResults for Six Units
-5-4.5
-4-3.5
-3-2.5
-2-1.5
-1-0.5
00.5
11.5
22.5
33.5
44.5
5
-180 -135 -90 -45 0 45 90 135 180
Gantry angle (degrees)
Abs
olut
e U
dis
plac
emen
t (m
m)
Unit 7Unit 8Unit 9Unit 10Unit 14Unit 17
-5-4.5
-4-3.5
-3-2.5
-2-1.5
-1-0.5
00.5
11.5
22.5
33.5
44.5
5
-180 -135 -90 -45 0 45 90 135 180
Gantry angle (degrees)
Abso
lute
V d
ispl
acem
ent (
mm
)
Unit 7Unit 8Unit 9Unit 10Unit 14Unit 17
LongLong--term Stability:term Stability: FlexmapFlexmap
12 calibrations over 28 months
u
v
-1.5
-1.25
-1
-0.75
-0.5
-0.25
0
0.25
0.5
0.75
1
1.25
-180 -135 -90 -45 0 45 90 135 180
Gantry angle (degrees)
Resi
dual
dis
plac
emen
t (m
m)
95% confidence interval = 0.25 mm
Targeting StudyTargeting Study• 21 sessions:
– Over a 3 month period – Three different operators– Single calibration map
• Geometric calibration maps monitored weekly in parallel study.
MV/kV DifferenceMV/kV Difference
Daily Geometry QADaily Geometry QA
• Align phantom with lasers
• Acquire portal images (AP & Lat) & assess central axis
• Acquire CBCT• Difference between
predicted couch displacements (MV & kV) should be < 2 mm
Daily Geometry QADaily Geometry QA
• Align phantom with lasers
• Acquire portal images (AP & Lat) & assess central axis
• Acquire CBCT• Difference between
predicted couch displacements (MV & kV) should be < 2 mm
-2.00
-1.50
-1.00
-0.50
0.00
0.50
1.00
1.50
2.00
01-Jan-06 20-Feb-06 11-Apr-06 31-May-06 20-Jul-06
Dev
iatio
n fr
om is
ocen
tre,
X d
irect
ion
(cm
)
ES07
ES08
NS09
NS10
WS17
Effect of Incorrect CalibrationEffect of Incorrect Calibration
ConeCone--beam CT: QA of a Devicebeam CT: QA of a Device
• Safety
• Geometric
• System stability
• Image quality
• System infrastructure
• Dose
System StabilitySystem Stability
• Dark image calibration– Acquired prior to each scan
• Gain stability & defect maps– Refresh floods every month
Dark image performanceDark image performanceDark fields
0
1
2
3
4
5
6
7
8
14-J
an-0
4
23-A
pr-0
4
1-Au
g-04
9-N
ov-0
4
17-F
eb-0
5
28-M
ay-0
5
5-Se
p-05
14-D
ec-0
5
24-M
ar-0
6
2-Ju
l-06
10-O
ct-0
6
Date
Stan
dard
dev
iatio
n in
pix
el v
alue
CenteredFull offsetMid offset
Flood Fields: image SNRFlood Fields: image SNR
0
20
40
60
80
100
120
14-J
an-0
4
23-A
pr-0
4
1-Au
g-04
9-N
ov-0
4
17-F
eb-0
5
28-M
ay-0
5
5-Se
p-05
14-D
ec-0
5
24-M
ar-0
6
2-Ju
l-06
10-O
ct-0
6
Date
Sta
ndar
d de
viat
ion
in p
ixel
val
ue
X ray tube changes
X ray Generator StabilityX ray Generator Stability
• Reproducibility and Accuracy– kVp, mA, ms
XX--ray Generator: ms Accuracyray Generator: ms Accuracy
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70 80 90
Programmed time (ms)
Mea
sure
d tim
e (m
s)
Second experimentLinear fitFirst experiment
Linear fit: Y = 1.002 x + 0.789
mAs linearity: fixed currentmAs linearity: fixed currentmAs linearity
0
50
100
150
200
250
0 5 10 15 20 25 30
programmed mAs
Mea
sure
d ex
posu
re (m
R)
40 mA80 mA32 mA320 mA160 mA
kVkVpp accuracy & stabilityaccuracy & stability
kVp fluctuations
100
105
110
115
120
125
1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 73 76
shot
Mea
sure
d kV
p
fixed mA
40 mA 80 mA 160 mA 320 mA 32 mA
117.6 ± 4.6 kVp
ConeCone--beam CT: QA of a Devicebeam CT: QA of a Device
• Safety
• Geometric
• System stability
• Image quality
• System infrastructure
• Dose
Image QualityImage Quality
CatPhan 500 phantom
ScaleScale
• Geometric calibration to tie isocentre to centre of volumetric reconstruction
• Scale to relate all pixels to isocentre
5 cm
ScaleScale
• Geometric calibration to tie isocentre to centre of volumetric reconstruction
• Scale to relate all pixels to isocentre
UniformityUniformity
• Standard CT tests– Cupping, capping
• Baseline non-uniformity index:
minmax
minmax
CTCTCTCT
+−
Linearity of CT NumbersLinearity of CT Numbers
Linearity of CT numbersLinearity of CT numbers
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0 200 400 600 800 1000 1200 1400 1600 1800 2000
Theoretical Housfield unit
Mea
sure
d Ho
unsf
ield
uni
t Unit 7Unit 8Unit 9Unit 10Unit 12Unit 16Unit 16 with annulusUnit 17
Add ScatterAdd Scatter
IEC standard 61675-1
Linearity of CT numbersLinearity of CT numbers
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0 200 400 600 800 1000 1200 1400 1600 1800 2000
Theoretical Housfield unit
Mea
sure
d Ho
unsf
ield
uni
t Unit 7Unit 8Unit 9Unit 10Unit 12Unit 16Unit 16 with annulusUnit 17
Linearity of CT NumbersLinearity of CT Numbers
• Fairly linear (χ2 > 0.99) for all systems
• Beam hardening
• Scatter conditions
• Non-standard metric; use only as a baseline
Spatial ResolutionSpatial Resolution
GE CT scanner2.5 mm slices 0.5 mm pixels
120 kVp, 100 mA
Low Contrast ResolutionLow Contrast Resolution
1 % contrastvisible
0.5 % contrastvisible
1 % contrastvisible
GE CT scanner2.5 mm slices 1 mm pixels
120 kVp, 100 mA
ConeCone--beam CT: QA of a Devicebeam CT: QA of a Device
• Safety
• Geometric
• System stability
• Image quality
• System Infrastructure
• Dose
System InfrastructureSystem Infrastructure
• Data safety
• Storage space available
• Review of QA data
Daily CBCT QA ProgramDaily CBCT QA ProgramDimension Procedure Tolerance
Detector stability Dark image calibrationGeometry Localising lasers < 1 mm
MV/kV/laser alignment < 1 mmAccuracy of shifts < 1 mm
Safety Interlocks: interrupts or prevents irradiation
Functional
Warning lights FunctionalWarm-up Generator operation Functional
Detector operation FunctionalDetector signal Within expected rangeCollimator operational Functional
Clinical process issues Database integrityStorage space availability
Monthly CBCT QA ProgramMonthly CBCT QA ProgramDimension Procedure Tolerance
Imaging system Gain stability Replace or refreshperformance Defect maps Replace or refreshImage quality Scale and distances ± 0.5 mm
CT number linearity & stability
Baseline
Image uniformity BaselineHigh contrast spatial resolution
Baseline
Artefacts AbsenceGeometric Geometric calibration Replace / refresh
Accuracy of couch shifts
< 1 mm
Clinical process issues Review of daily test results
Annual CBCT QA Program (service)Annual CBCT QA Program (service)Dimension Procedure Tolerance
X-ray generator kVp accuracy Baselinestability mAs linearity Baseline
Radiation quality (HVL) BaselineAccuracy of mA & mAs Baseline
Geometry Couch scales 1 mmCouch motion accuracy (manual or remote)
1 mm
Detector tilt BaselineDetector skew BaselineDetector scale Baseline
Annual CBCT QA Program Annual CBCT QA Program (upgrades)(upgrades)
Dimension Procedure ToleranceData transfer Link to treatment
planningFunctional and
accurateLong term and short term storage
Functional
Dosimetry Axial and skin doses BaselineClinical process issues Database integrity and
maintenance Baseline
Documentation of imaging procedure
Up-to-date
Review of daily and monthly test results
Completeness
Radiation Therapy ProcessRadiation Therapy Process
Imaging Planning
TreatmentdeliveryVerify
ImageImage--Guided RT: ProcessGuided RT: Process
Verify
Adjust
Imag
e tra
nsfer
Image
Target
Adjust
Verify
BeginTx
InitialSetup
Within tolerance
With
in tol
eran
ceRe-try
Shift
Verify: Quality MetricsVerify: Quality Metrics
• Patient ID
• Prescription
• Location
• Patient set-up
Illustrative Example: SBRT LungIllustrative Example: SBRT Lung
• Small, inoperable lung lesions
• Radio ablative doses (60 Gy in 3 fx)
• High level of confidence– Targeting– Planning– Treatment
Method: Lung SRT ProcessMethod: Lung SRT Process
Patient consentand education
Immobilisation
Steretactic framefor abdominalcompression
Helical and 4DCTimaging: derive
GTV
Planning
Image guidedpositioning at the
treatment unitCBCT
± 3 mm
Treat
Image Guidance: CBCTImage Guidance: CBCT
Planning CTPlanning CT
CBCT Fx #1CBCT Fx #1
CBCT Fx #2CBCT Fx #2
CBCT Fx #3CBCT Fx #3
GTVGTVPTVPTV
CBCT Image Guidance AccuracyCBCT Image Guidance AccuracyDisplacements (mm)
Medio-lateral Antero-posterior Cranio-caudal
4.7 ± 5.3 7.3 ± 9.4 5.6 ± 4.8
2.1 ± 2.32.7 ± 2.22.0 ± 1.8
Cranio-caudalAntero-posteriorMedio-lateral
Residual Error (mm)
10 patients
ObservationsObservations
•IGRT clearly reduces both the systematic and random errors.
•Residual errors reflect our current tolerance (± 3 mm).
Radiation TherapyRadiation Therapy
• Who?– Record & verify / electronic file
• What?– Planning CT, diagnostic work-up
• When?– Record & verify / electronic file
Radiation TherapyRadiation Therapy
• How?– Treatment plan
• Where?– Daily CBCT
IGRT is a QA tool for externalbeam radiation therapy
Summary and ConclusionsSummary and Conclusions
• Introduced framework for a QA program
– Goal: reduce errors and uncertainties• Devices • Processes
Summary and ConclusionsSummary and Conclusions
• Quality has several dimensions
– Dimensions can be formulated as metrics• Quantifiable• Traceable
– Use quality metrics• Assess performance• Improve quality with time
Summary and ConclusionsSummary and Conclusions
• Have applied QA framework to a device– Cone-beam CT
• Have applied QA framework to a process– SBRT lung
ConclusionsConclusions
• Demonstrated that IGRT is routinely used to reduce systematic and random errors & uncertainties
• In this sense, IGRT is a QA tool
AcknowledgementsAcknowledgements
• Doug Moseley • Tom Purdie• Elizabeth White• David Jaffray