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22-Sept-2003 1 Towards Clinically- relevant Standardization of Image Quality Ehsan Samei, Duke University Alan Rowberg, University of Washington Ellie Avraham, Eastman Kodak Company Craig Cornelius, Eastman Kodak Company

Towards Clinically-relevant Standardization of Image Quality

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Page 1: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 1

Towards Clinically-relevant Standardization of Image Quality

• Ehsan Samei, Duke University• Alan Rowberg, University of Washington• Ellie Avraham, Eastman Kodak Company• Craig Cornelius, Eastman Kodak Company

Page 2: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 2

Objectives• Describe current medical image quality

and consistency performance efforts• Identify limitations in existing standards• Outline 3 specific proposals:

– Add new image quality factors to standards– Update DICOM IQ performance services– Research technical-clinical connection

Page 3: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 3

DICOM Image Consistency Efforts• Three DICOM initiatives (1998-99):

– Grayscale Standard Display Function (GSDF)– Presentation LUT (P-LUT)– Grayscale Softcopy Presentation State (GSPS)

• And in actual practice…– Are widely & effectively implemented– Via IHE Consistent Presentation of Images

solution:• Promoted conformance testing• Demonstrated inter-vendor consistency

Page 4: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 4

DICOM GSDF: Barten Curve

0.1

1

10

100

1000

0 200 400 600

J1 J2

L1

~3 cd/m2

L2

~150 cd/m2

Number of perceptual levels J1 = J2

Absolute luminance incrementL1 << L2

Page 5: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 5

AAPM Task Group 18 Efforts

• Team of academic, clinical, and industry contributors

• “Assessment of Display Performance for Medical Imaging Systems” (2002):– Practical guidelines for qualitative & quantitative

display assessment– Includes all key aspects of display performance– Defines IQ test patterns and procedures– Recommends specific IQ acceptance criteria

Page 6: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 6

Standardization gaps

• DICOM GSDF:– Pros:

• Mathematical definition based on Human Visual System model

– Limitations:• Tonescale consistency

only: no other IQ factors• No acceptance criteria /

conformance procedures• Only for grayscale images• No Display Device

Services (Capabilities)

• AAPM TG18 report:– Pros:

• Provides Professional recommendations

• Covers all key display performance aspects

• Acceptance Criteria• Quantitative measures

– Limitations:• Only guidelines• Not a “standard”

Page 7: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 7

The technical-clinical gap:

• The connection between quantifiable IQ metrics & clinical performance is unknown:– Luminance: deviations from GSDF, number of

gray levels displayed– Spatial: resolution, noise, geometric distortion – Chromaticity variations– Environmental: ambient light, glare, reflection,– …

• Amount of acceptable variation is unknown

Page 8: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 8

3 proposals to bridge the gaps:

1. Extend DICOM standard beyond luminance response

2. Add and update DICOM Service Classes for image quality / performance

3. Promote research on clinical - technical image quality relationship

Page 9: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 9

1. Display Image Quality (DIQ) Initiative

• Add measurable and quantifiable elements of AAPM display performance procedures

• Include testing methodologies & defined limits for clinical / diagnostic performance

• Quantify visual performance using– Simple test images– Specific observer protocols– Relative acceptance indicators

• For both softcopy and hardcopy presentation

Page 10: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 10

DIQ Softcopy Examples

• Quantify % deviation from GSDF curve• Define criteria for min & max luminance• Define visual luminance evaluation• Evaluate specific image quality factors:

– Ambient light limits: specular and diffuse– Spatial resolution with TG18-QC/CX– Check geometric distortion with TG18-QC

Page 11: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 11

Contrast response comparison

0.001

0.010

0.100

0 100 200 300 400 500 600 700

JND index

dL/L

for a

JN

D

1.1cd/m2

237cd/m2

Non-standardized display contrast

GSDF contrast+/- 10%

Page 12: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 12

TG18-MP: bit-depth / continuous grayscale

TG18-CT:contrast / luminance response

AAPM TG18 Patterns

Page 13: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 13

The comprehensive TG18-QC test pattern for evaluation of key display characteristics:

• Resolution

•Luminance

•Geometric distortion

Comprehensive TG18-QC

Page 14: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 14

Other DIQ Extensions• Hardcopy quality metrics:

– Media & printer quality (e.g., visible coating variations, distortions, artifacts)

– GSDF compliance, # of JNDs theory vs. actual– Printable matrix size– Spatial frequency response fidelity

• Color extensions:– Standardize for grayscale areas of color images– Add descriptions for color image characterization– Color display and print device calibration

Page 15: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 15

2. DICOM Service Extensions

• Add Display Performance Service Class– Query image quality / performance information– Control / configure manageable settings– Include new IQ factors, e.g., MTF, ambient, …

• Extend Printer Configuration Retrieval Service Class– Include access to additional IQ factors

Note: Measurables include both human-evaluated and automatically-measured values

Page 16: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 16

Use cases: Standardizing Output• Printing application

– Retrieves matrix size and MTF of film printer– Determines type of magnification, if any, to be applied

to the image for smallest artifact

• Display Performance Service Class User – Requests the luminance characteristic curve from its

workstation’s display system – Determines if the display is standardized– If needed, computes an internal image tonescale

correction, producing GSDF standardized result

Page 17: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 17

0.00

50.00

100.00

150.00

200.00

250.00

300.00

0 100 200 300 400 500 600 700Digital Value

Lum

inan

ce

Target GSDFActual device

Desiredoutput

Original Input443

Modified Input345

Real device standardized performance

Page 18: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 18

Use Case: Quality Control Management

• Centralized management application:– Queries devices for calibration date, luminance

characteristics, ambient light settings, etc.– Records the results in a central database– Creates maintenance lists for displays and printers

• Reporting application uses database for:– Regulatory and management reports– Stability and lifetime statistics on displays to

support replacement schedules and budgets

Page 19: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 19

Request

Film

Printer Film

Printer

Diagnostic display Diagnostic display Diagnostic display

Web - based

displays Modality Capture console

Clinical display Reflective Hardcopy

Web - based displays

console Clinical display Clinical display

ResponseCharacteristic curve, MTF, other performance measures

Summary data

Administrator’s

Administrator’s

Characteristic curve, MTF, other performance measures

Summary data

Network-wide Quality Control

Regu

latory

Repo

rtsPerformance

& Lifetime

Statistics

Page 20: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 20

More use cases…

• Consultation:– Maximize perceptual similarity to ensure “What I see

is what you will get!”– Display performance information gives confidence

• Capture Consoles:– “The technologist sees what the doctor will get.”

– Reduce errors, retakes, miscommunication

– Extend quality control program to consoles

Page 21: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 22

3. Clinical Significant of IQ Measures

GSDF vs. Monitor gamma differences

-20

0

20

40

60

80

100

120

0 50 100 150 200 250 300

digital value

Lum

inan

ce c

d/m

^2

Hmm…

Physical metrics

We assume there is a

connection…

What deviations matter, and how

much?Clinical performance

Page 22: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 23

Rendered with DICOM GSDF Not rendered with DICOM GSDF

Clinical impact: unknown

Page 23: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 24

Goals of proposed research:

• Determine the clinical consequence of variations in image quality metrics (e.g., GSDF conformance, MTF, noise, …)

• Define what constitutes image quality from a diagnostic perspective

• Incorporate results into new joint standards that will utilize standardized test patterns, procedures, and clinical use cases

Page 24: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 25

Suggested research approach

• Sample research:1. Obtain images from 3

radiographic modalities2. Present images,

simulating nonstandard display behavior

3. Run observer performance experiments at major professional meetings and events

4. Analyze by ROC methods

• Form inter-society committee to: 1. Design specific research

projects2. Obtains & review data sets3. Solicit & encourage active

participation by researchers: radiologists, scientists, …

4. Arrange reporting of results5. Define recommendations to

standards and professional groups

Page 25: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 26

Conclusions

• Existing standards are insufficient to assure consistent, high quality medical image output.

• Steps are proposed to further the reach and impact of DICOM toward quality medicine.

• New directions will provide benefits for PACS users, administrators, vendors, and patients.

Page 26: Towards Clinically-relevant Standardization of Image Quality

22-Sept-2003 27

Contact Information• Ehsan Samei, Duke University

[email protected]

• Alan Rowberg, M.D., University of Washington, [email protected]

• Ellie Avraham, Eastman Kodak Company,[email protected]

• Craig Cornelius, Eastman Kodak Company,[email protected]

• AAPM Task Group 18 web site: http://deckard.duhs.duke.edu/tg18