Transcript Folie 1

Global View of All Collected Data
- Phantom Data from all sites
- Duke, Echosens, Langevin, Mayo, Philips, Siemens, SSI, UCSD, U Wisconsin, U Michigan
- Each site’s data is imported and ‘cleaned’ and combined on one Excel spreadsheet
- Analyzed in JMP 5.1
Page 1
- Philips’ phantom damaged
2.5
2
0
0
PHANT OM#
Page 2
UoM-E1786-7
UoM-E1787-7
3
UW-E1787-8
UW-E1787-8
- Includes ‘Hard’ and ‘Soft’
Duke-E1786-1
Duke-E1787-1
Echos-E1786-2
Echos-E1786-2
Echos-E1787-2
Echos-E1787-2
Lang-E1786-10
Lang-E1786-10
Lang-E1786-10
Lang-E1787-10
Lang-E1787-10
Lang-E1787-10
Mayo-E1786-7
Mayo-E1786-7
Mayo-E1786-7
Mayo-E1788-2
Mayo-E1788-2
Mayo-E1788-2
Phil-E1786-3
Phil-E1786-3
SIE-E1786-4
Phil-E1787-3
SIE-E1786-4
SIE-E1786-4
SIE-E1787-4
SIE-E1787-4
SIE-E1787-4
SSI-61786-1
SSI-61786-1
SSI-61786-1
SSI-61787-5
SSI-61787-5
SSI-61787-5
UCSD-E1786-6
UCSD-E1786-6
UCSD-E1786-6
UCSD-E1787-6
UCSD-E1787-6
UCSD-E1787-6
UW-E1786-11
UW-E1786-11
UW-E1786-11
- Phantoms confounded w/ site
MeanSWS
Global View of All Collected Data
- Phantom Data from all sites
- Duke, Echosens, Langevin, Mayo, Philips, Siemens, SSI, UCSD, U Wisconsin, U Michigan
- Each Data Point is Mean of 10 measurements
- Red quantiles: 10/90%, 25/75%, Median
2
10
1.5
1
1
0.5
Soft Phantom Analysis 3/3
1.2
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
MeanSWS
1.1
1
0.9
PHANT OM#
Page 3
UoM-E1786-7
UW-E1787-8
UCSD-E1786-6
SSI-61786-1
SIE-E1786-4
Mayo-E1786-7
Lang-E1786-10
Echos-E1786-2
Duke-E1786-1
0.8
All Pairs
T ukey-Kramer
0.05
Soft Phantom Analysis 1/3
1.2
MeanSWS
1.1
1
0.9
Verisonics-Mayo
Verisonics-Duke
SSI
Echosens
S2000
0.8
All Pairs
T ukey-Kramer
0.05
System
•r
Level
Echosens
S2000
SSI
Verisonics-Duke
Verisonics-Mayo
Page 4
Minimum
0.87367
0.772
0.89
0.86497
0.8687
10%
0.875554
0.7948
0.9
0.869225
0.87562
25%
0.879361
0.814
0.93
0.87389
0.8921
Median
0.890544
0.835
0.96
0.91451
0.9017
75%
0.930949
0.868
1
0.93839
0.9158
90%
0.93447
0.882
1.028
0.940552
0.92604
Maximum
0.934496
0.9
1.19
0.94221
0.9282
Soft Phantom Analysis 2/3
1.25
1.2
1.2
MedianSWS
MeanSWS
1.1
MeanSWS
1.2
1.15
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
1
1.15
1.1
1.1
1.05
1.05
1
1
UW-E1787-8,
UW-E1787-8,
SSI
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
0.95
0.95
0.9
0.9
0.9
0.85
Depth_3cm
Depth_4.5cm
Depth_7cm
All Pairs
T ukey-Kramer
0.05
Depth_7cm
All Pairs
T ukey-Kramer
0.05
DEPTH (cm)
All Pairs
T ukey-Kramer
0.05
0.92
0.9
0.88
MeanSWS
DEPTH (cm)
Depth_7cm
Depth_4.5cm
Depth_3cm
0.8
0.86
0.84
0.82
0.8
0.78
Siemens
0.76
Depth_3cm
Need to recheck Echosens data
Page 5
Depth_4.5cm
DEPTH (cm)
Soft Phantom Analysis 2/3
0.95
1.2
0.93
MeanSWS
1.1
MeanSWS
0.94
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
1
0.92
0.91
0.9
0.89
0.88
0.9
Duke
0.87
0.86
Depth_3cm
Depth_4.5cm
Depth_7cm
All Pairs
T ukey-Kramer
0.05
Depth_7cm
All Pairs
T ukey-Kramer
0.05
DEPTH (cm)
All Pairs
T ukey-Kramer
0.05
0.93
0.92
0.91
MeanSWS
DEPTH (cm)
Depth_7cm
Depth_4.5cm
Depth_3cm
0.8
0.9
0.89
0.88
0.87
Mayo
0.86
Depth_3cm
Depth_4.5cm
DEPTH (cm)
Page 6
Soft Phantom Summary
1.2
To Do
• Appraiser is not a factor in all analysis
•
• ANOVA is missing DoF, so concern over providing estimates
• Even after eliminating Echosens data, residual plots and model
are suspicious
MeanSWS Actual
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
1.1
1
0.9
0.8
• Continue analysis within site and within system for further insights
.80
.90
1.00
1.10
1.20
Source
PHANTOM#
DEPTH (cm)
APPRAISER #[PHANTOM#]
System
Nparm
7
2
16
3
DF
5
2
16
1
Sum of Squares
0.07667410
0.04339614
0.01498435
0.30120535
F Ratio
13.2524
18.7515
0.8093
260.3023
Prob > F
<.0001 LostDFs
<.0001
0.6743
<.0001 LostDFs
MeanSWS Residual
MedianSWS
Residual
MeanSWS Predicted P<.0001 RSq=0.78
RMSE=0.034
0.25
0.20
0.20
0.15
0.15
0.10
0.10
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
UW-E1787-8,
0.05
0.05
0.00
-0.05
-0.05
-0.10
-0.10
.80
.80
Page 7
.90
1.00
1.10
.90
1.00
1.10
MeanSWS
Predicted
MedianSWS Predicted
1.20
1.20
1.9
Page 8
PHANT OM#
UoM-E1787-7
UW-E1786-11
UCSD-E1787-6
SSI-61787-5
SIE-E1787-4
Mayo-E1788-2
Lang-E1787-10
Echos-E1787-2
Duke-E1787-1
MeanSWS
Hard Phantom Analysis 1/3
2.4
2.3
2.2
2.1
2
All Pairs
T ukey-Kramer
0.05
1.9
Page 9
Level
Echosens
S2000
SSI
Verisonics-Duke
Verisonics-Mayo
Minimum
2.028042
1.91
1.95
2.00657
2.025
10%
2.034633
2.0157
2.01
2.012296
2.03512
25%
2.065677
2.11525
2.05
2.0203
2.0504
Median
2.128192
2.1605
2.08
2.08477
2.1318
2.4
2.4
2.3
2.3
1.9
Appraiser_1Duke
Appraiser_1Echos
Appraiser_1Lang
Appraiser_1M
Appraiser_1Mayo
Appraiser_1S
Appraiser_1SSI
Appraiser_1UC
Appraiser_1UW
Appraiser_2Duke
Appraiser_2Echos
Appraiser_2Lang
Appraiser_2M
Appraiser_2Mayo
Appraiser_2S
Appraiser_2SSI
Appraiser_2UC
Appraiser_2UW
Appraiser_3Duke
Appraiser_3Echos
Appraiser_3Lang
Appraiser_3M
Appraiser_3Mayo
Appraiser_3S
Appraiser_3SSI
Appraiser_3UC
Appraiser_3UW
Verisonics-Mayo
MeanSWS
2.2
Verisonics-Duke
SSI
S2000
Echosens
MeanSWS
Hard Phantom Analysis 2/3
2.2
2.1
2.1
2
2
Each Pair
Student's t
0.05
APPRAISER #
System
75%
2.168532
2.21575
2.1
2.1516
2.1835
90%
2.232099
2.259
2.1
2.155544
2.20006
Maximum
2.28903
2.371
2.15
2.16001
2.2131
Hard Phantom Analysis 3/3
2.4
2.15
MeanSWS
2.1
2.2
2.05
2
2.1
1.95
2
SSI
Depth_3cm
Depth_4.5cm
Depth_7cm
All Pairs
T ukey-Kramer
0.05
Depth_7cm
All Pairs
T ukey-Kramer
0.05
DEPTH (cm)
1.9
Depth_3cm
Depth_4.5cm
DEPTH (cm)
Depth_7cm
All Pairs
T ukey-Kramer
0.05
2.4
2.3
MeanSWS
MeanSWS
2.3
2.2
2.1
2
1.9
Siemens
Depth_3cm
Depth_4.5cm
DEPTH (cm)
Page 10
Hard Phantom Analysis 3/3
2.4
2.15
MeanSWS
2.2
2.1
2.05
Duke
2.1
2
2
Depth_3cm
Depth_4.5cm
Depth_7cm
All Pairs
T ukey-Kramer
0.05
Depth_7cm
All Pairs
T ukey-Kramer
0.05
DEPTH (cm)
1.9
Depth_3cm
Depth_4.5cm
DEPTH (cm)
Depth_7cm
All Pairs
T ukey-Kramer
0.05
2.2
MeanSWS
MeanSWS
2.3
2.15
2.1
2.05
2
Mayo
Depth_3cm
Depth_4.5cm
DEPTH (cm)
Page 11
Summary
Summary
• Appraiser is not a factor in all analysis
•Seem to be a depth dependency
•To Do
• Finish ANOVA Analysis
• Contribute to understanding of results and outliers
Do analysis for each system
• Determine how to analyze Duke – Phantom Measure
SWS(m/s)
0.9
0.8
0.7
30
40
50
60
DEPTH(cm)
Page 12
70
80