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The SCAR TRIPTM Initiative & DICOM
The SCAR TRIPTM Initiative & DICOM
OUTLINE
OUTLINE
OUTLINE
OUTLINE
OUTLINE
OUTLINE
The Problem
The Problem
The SCAR TRIPTM Initiative
The SCAR TRIPTM Initiative
SCAR TRIPTM Initiative
SCAR TRIPTM Initiative
SCAR TRIPTM Initiative
SCAR TRIPTM Initiative
SCAR TRIPTM Initiative
SCAR TRIPTM Initiative
Historical Review – Why Is Medicine So Far Behind
Historical Review – Why Is Medicine So Far Behind
Why Is Medicine So Far Behind
Why Is Medicine So Far Behind
Why Is Medicine So Far Behind
Why Is Medicine So Far Behind
Often there is a disconnect between Scientist-Researchers & End-Users
Often there is a disconnect between Scientist-Researchers & End-Users
Enabling Technologies (creating urgency for TRIPTM)
Enabling Technologies (creating urgency for TRIPTM)
Enabling Technologies
Enabling Technologies
Concepts Involved
Concepts Involved
Human Perception
Human Perception
Psychophysical Models for Detection of Abnormalities
Psychophysical Models for Detection of Abnormalities
DICOM Role
DICOM Role
Image Processing & CAD
Image Processing & CAD
Image Processing & CAD
Image Processing & CAD
Image Processing & CAD
Image Processing & CAD
DICOM Role
DICOM Role
Visualization
Visualization
The SCAR TRIPTM Initiative & DICOM
The SCAR TRIPTM Initiative & DICOM
Combining Functional & Anatomical Information
Combining Functional & Anatomical Information
3D Spectra Anatomy Overlay
3D Spectra Anatomy Overlay
Visualization
Visualization
CT Cholangiogram - Axial
CT Cholangiogram - Axial
Sliding MIP
Sliding MIP
3-D Surface/Volume Rendering
3-D Surface/Volume Rendering
Courtesy Cynthia Chin, M.D., UCSF
Courtesy Cynthia Chin, M.D., UCSF
DICOM Role
DICOM Role
DICOM Role
DICOM Role
DICOM Role
DICOM Role
DICOM Role
DICOM Role
Navigation & Usability
Navigation & Usability
3-D Surface Rendering CABG
3-D Surface Rendering CABG
Virtual Reality Fly-Through of Coronary Arteries
Virtual Reality Fly-Through of Coronary Arteries
Sliding VR
Sliding VR
Michael Teistler, Technical Institute of Braunschweig
Michael Teistler, Technical Institute of Braunschweig
Hand-Helds for Point-of Care Delivery
Hand-Helds for Point-of Care Delivery
DICOM Role
DICOM Role
Standards, Databases & Integration
Standards, Databases & Integration
Evaluation & Validation
Evaluation & Validation
Affected Processes
Affected Processes
We Have Come a Long Way, But…
We Have Come a Long Way, But…
What SCAR Hopes To Do
What SCAR Hopes To Do
DICOM Role (especially)
DICOM Role (especially)
Join in the TRIP
Join in the TRIP

Презентация на тему: «The SCAR TRIPTM Initiative DICOM». Автор: David Avrin. Файл: «The SCAR TRIPTM Initiative DICOM.ppt». Размер zip-архива: 10080 КБ.

The SCAR TRIPTM Initiative DICOM

содержание презентации «The SCAR TRIPTM Initiative DICOM.ppt»
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1 The SCAR TRIPTM Initiative & DICOM

The SCAR TRIPTM Initiative & DICOM

Katherine P. Andriole Society for Computer Applications in Radiology PACS Clinical Coordinator University of California at San Francisco Department of Radiology Laboratory for Radiological Informatics and Department of Bioengineering University of California at Berkeley

2 OUTLINE

OUTLINE

The Problem The SCAR TRIPTM Initiative Historical Review Imaging in Other Fields vs Medicine Entertainment Industry, DoD & NASA

3 OUTLINE

OUTLINE

Concepts Involved Human Perception, Image Processing, Visualization, Navigation, Usability, Standards, Databases, Integration, Evaluation, Validation

4 OUTLINE

OUTLINE

Affected Processes Interpretation, Communication, Workflow & Efficiency, Diagnostic Accuracy, Quality of Care Role of / Impact on DICOM Incorporated but not widely used concepts Necessary new features & functionality

5 The Problem

The Problem

Information & Image Data Overload Requires medical image interpretation paradigm shift to evaluate, manage & exploit the massive amounts of data acquired for improved Efficiency Accuracy Survival

6 The SCAR TRIPTM Initiative

The SCAR TRIPTM Initiative

Transforming the Radiological Interpretation Process to spearhead research, education, & discovery of innovative solutions to address the problem of information & image data overload.

7 SCAR TRIPTM Initiative

SCAR TRIPTM Initiative

Radiology must shift its image interpretation & management processes to deal with the burgeoning medical image data sets acquired by digital imaging devices.

8 SCAR TRIPTM Initiative

SCAR TRIPTM Initiative

Will foster interdisciplinary research on technological, environmental & human factors to better manage & exploit the massive amount of data.

9 SCAR TRIPTM Initiative

SCAR TRIPTM Initiative

Will focus on: Improving efficiency of interpretation Improving timeliness & effectiveness Decreasing medical errors Goal is to improve the quality & safety of patient care.

10 Historical Review – Why Is Medicine So Far Behind

Historical Review – Why Is Medicine So Far Behind

(DoD, NASA, Hollywood)

Special & Challenging Environment Urgency of Results Safety Limitations & Restrictions Cost of Error Tremendous Variability of Human Data within & between Individuals.

11 Why Is Medicine So Far Behind

Why Is Medicine So Far Behind

Special & Challenging Environment Difficult to Validate Performance Poor Understanding of Human Perception & its Relationship to the Art of Medicine.

12 Why Is Medicine So Far Behind

Why Is Medicine So Far Behind

Slower Adoption of Technology in General Cultural & Practicality Barriers More Difficult to See Clinical Impact Initially Interdisciplinary Nature of the Solution

13 Often there is a disconnect between Scientist-Researchers & End-Users

Often there is a disconnect between Scientist-Researchers & End-Users

in the Clinical Arena

14 Enabling Technologies (creating urgency for TRIPTM)

Enabling Technologies (creating urgency for TRIPTM)

Computing & Networking Capabilities “Real-Time” Processing Increased Bandwidth & Ubiquitous Access Visualization Technologies 3-D Rendering, Color, Motion

15 Enabling Technologies

Enabling Technologies

Digital Imaging Modalities True 3-D Data Acquisition & Isotropic Voxels More Intuitive Graphical User Interfaces Although much more needs to be done

16 Concepts Involved

Concepts Involved

Human Perception Image Processing & CAD Visualization Navigation – Usability Standards, Databases & Integration Evaluation & Validation

17 Human Perception

Human Perception

Develop a Standard for Image Quality Develop Objective Methodologies & Criteria From which to determine optimal presentation parameters Based on Diagnostic Performance Develop Display Standards

18 Psychophysical Models for Detection of Abnormalities

Psychophysical Models for Detection of Abnormalities

Define & Develop Optimal Presentation Parameters by understanding What is desired by the observer What properties of radiological images are most useful in their interpretation How can these properties be enhanced to improve accuracy of interpretation.

19 DICOM Role

DICOM Role

WG 11: Display Function Standard Gray Scale Std Display Function GSDF Presentation-LUT IHE: Consistent presentation of images AAPM TF18: Image Quality, QA Still must address Clinical Correspondence

20 Image Processing & CAD

Image Processing & CAD

Man-Machine Systems for Image-Based Diagnosis which take advantage of both human & machine capabilities. Relinquish more routine chores to the computer. Have human concentrate on judgment & comprehension tasks.

21 Image Processing & CAD

Image Processing & CAD

Develop Computer Aids for Feature Perception Cuing, Overlay & Annotation Develop Radiology Workstation of the Future Implement computer aids into a broadly supportive workstation. Decision Support, Data Mining & Reference Libraries

22 Image Processing & CAD

Image Processing & CAD

Design a workstation that can grow to accommodate future computer tools & advances. Support clinical, research & teaching needs.

23 DICOM Role

DICOM Role

Image processing capabilities at the PACS display are currently very minimal. Processing typically done at the modality and/or required specialty workstations. How can DICOM pass image processing parameters without disclosing proprietary information? Structured Reporting & CAD (WG8 & 15)

24 Visualization

Visualization

Static Film Dynamic Soft Copy & Image Manipulation Tile Mode Stack or Cine Mode Linked Stack Mode for 3-D Correspondence Multimodality Image Fusion

25 The SCAR TRIPTM Initiative & DICOM
26 Combining Functional & Anatomical Information

Combining Functional & Anatomical Information

27 3D Spectra Anatomy Overlay

3D Spectra Anatomy Overlay

Courtesy Cynthia Chin, M.D., UCSF

28 Visualization

Visualization

Maximum Intensity Projection Multi-Planar Reconstruction 3-D Surface/Volume Rendering Virtual Reality Representations ???

29 CT Cholangiogram - Axial

CT Cholangiogram - Axial

Courtesy Richard S.Breiman, M.D., UCSF

30 Sliding MIP

Sliding MIP

Bile Duct Anomalies missed by MRCP in potential partial liver donors.

Courtesy Richard S.Breiman, M.D., UCSF

31 3-D Surface/Volume Rendering

3-D Surface/Volume Rendering

Courtesy Gary R. Caputo, M.D., UCSF

32 Courtesy Cynthia Chin, M.D., UCSF

Courtesy Cynthia Chin, M.D., UCSF

33 DICOM Role

DICOM Role

Currently most 3-D representations must be processed on specialty workstations some must be saved as screen-capture manually push to PACS workstations & Enterprise-wide Web (if capable of displaying) Raw data often not stored.

34 DICOM Role

DICOM Role

How can DICOM pass 3D Model without disclosing proprietary information? How simplify interoperability? Unify Architecture

35 DICOM Role

DICOM Role

DICOM conceived as a strategy for moving & storing collections of single images. Network utilization is suboptimal PACS must accommodate multiple images which can be treated as a single unit Series-Awareness, 3D, 4D, Functional Sets, Cross-Referencing of Objects & Fusion Unified presentation of Color WG11 & others.

36 DICOM Role

DICOM Role

WG16, Supplement 49 defines multiframe (MR) images; model for CT; WG17, 20, 21. enhanced image storage SOP class allows multiple images to be combined into one instance Raw Data Dimensionality Context Info

37 Navigation & Usability

Navigation & Usability

3-D & Motion Virtual Reality – Fly-Throughs Hand-Eye Cues Hand-Helds for Point-of-Care Delivery Context Matching Voice Activation ???

38 3-D Surface Rendering CABG

3-D Surface Rendering CABG

Courtesy Gary R. Caputo, M.D., UCSF

39 Virtual Reality Fly-Through of Coronary Arteries

Virtual Reality Fly-Through of Coronary Arteries

Courtesy Gary R. Caputo, M.D., UCSF

40 Sliding VR

Sliding VR

Courtesy Richard S.Breiman, M.D., UCSF

41 Michael Teistler, Technical Institute of Braunschweig

Michael Teistler, Technical Institute of Braunschweig

42 Hand-Helds for Point-of Care Delivery

Hand-Helds for Point-of Care Delivery

43 DICOM Role

DICOM Role

Navigation by radiologist/clinician at the PACS display (or enterprise-wide web) in real-time Raw Data & Processing Model Color Encoding Overlays Waveforms Audio or Other Sense?

44 Standards, Databases & Integration

Standards, Databases & Integration

Open Standards Real-Time Processing at PACS Display 3-D Integrated into PACS Display & Web Other Relevant Data – Integrated HIS-RIS-PACS-Speech & IHE (maintaining user & patient focus)

45 Evaluation & Validation

Evaluation & Validation

Objective Methodologies Standard Datasets for Performance Testing Collaborative & Comparison Research

46 Affected Processes

Affected Processes

Interpretation Communication Workflow & Efficiency Diagnostic Accuracy Reduction of Medical Errors Quality of Care

47 We Have Come a Long Way, But…

We Have Come a Long Way, But…

48 What SCAR Hopes To Do

What SCAR Hopes To Do

Bring Forward the Problem Facilitate Exchange of Ideas Between Researchers, End-Users, Industry, Other Fields Via Workshops & Forums By Lobbing NIH & Other Agencies Sponsor Research Communicate Issues & Results

49 DICOM Role (especially)

DICOM Role (especially)

WG4 Compression WG8 Structured Reporting WG10 Strategic WG11 Display Function Std WG16 Magnetic Resonance, Sup49 WG17 3D WG20 Imaging & Information Systems Integration WG21 Computed Tomography

50 Join in the TRIP

Join in the TRIP

DICOM Role

«The SCAR TRIPTM Initiative DICOM»
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