1. Supplement 189:
Parametric Blending Presentation State Storage

2. Overview Objective Input data Blending operation Example
Blending Presentation State introduction

3. Objective
Allowing to show spatial relationship of the parametric maps and structural images without loosing the ability to use:
Geometry
Spatial and Parametric Information
Thresholds
Major usage for Surgery and Therapy planning
Is Modality independent
Blending Presentation State introduction

4. Input Data
Describing the different information sets that will be blended:
Structural dataset(s) for anatomy
Parametric Maps for Functional Information
Blending Presentation State introduction

5. Blending operation Apply Threshold to highlight the important areas
Supports the use of the Color information in the input datasets
Blends the different datasets in specified order without losing the color information
Blending Presentation State introduction

6. Blending operation Requires Frame of Reference Supports usage of
Padding
Graphics overlays
Segmented Color LUT description
Real World value measurements
Expects CP 1584 to be finalized for color support in Parametric maps.
Blending Presentation State introduction

7. Example Use case is brain mapping for pre-treatment planning.
The goal is to visualize white matter, eloquent cortex for language with respect to the anatomy
White matter is done by Color DTI
Eloquent cortex is done by multiple language fMRI paradigms
Anatomy is post contrast T1
Blending Presentation State introduction

8. Example Result View combining: Anatomical image 3 parametric maps
DTI map
Using:
Thresholds
Opacity
Blending Presentation State introduction

9. Individual Images
Anatomical
Blending Presentation State introduction

10. Individual Images
Parametric map showing coloring and applying threshold coloring of the image
Blending Presentation State introduction

11. Individual Images
Parametric map showing coloring and applying threshold coloring of the image
Blending Presentation State introduction

12. Individual Images
Parametric map showing coloring and applying threshold coloring of the image
Blending Presentation State introduction

13. Individual Images
RGB image showing the DTI information having no threshold
Blending Presentation State introduction

14. Input images (mono, color and LUT)+
Alpha 0.6
Anatomical (alpha 0.7)
DTI (alpha 0.3)
Alpha 0.4 + +
fMRI (alpha 0.33)
fMRI (alpha 0.33)
fMRI (alpha 0.33)

15. Thresholded Color Image
Coloring operation
Apply
Color LUT
(optional)
Full Color Image
Thresholded Color Image
Input for Blending
Bit Map,
Stored Values
(RWV)
Convert Grayscale to RGB if no LUT is specified
Applying color LUT is null operation if input is RGB image
Applying Threshold is an optional step
Apply RWV Threshold
(optional)

16. Blending operation Color Image 1 Blend Color Images Color Image 2
Blending mode FOREGROUND
Requires Alpha value
Only valid with 2 input images
Alpha only valid when both pixels are present
Color Image 1
Alpha
Blend Color Images
Input for
Blending or Display
Color Image 2
1 - Alpha

17. Blending operation Color Image 1 Color Image 2 Blend Color Images …
Alpha
Color Image 1
Blending mode EQUALLY
Alpha value = 0 if pixel is NOT contributing
Alpha value = 1/n* if pixel is contributing
No restriction on n
n* is number of contributing pixels
0 or 1 / n*
Color Image 2
Blend Color Images
0 or 1 / n*
Input for
Blending or Display …
Color Image n
0 or 1 / n*

18. Result view Result view after blending of the different images
Blending Presentation State introduction

19. Result view
Result view after blending of the different images with application added information.
Blending Presentation State introduction

20. What is not specified
The algorithms used to make the different spatial datasets map to each other
Windowing of gray scale information before it is colored and blended
Blending Presentation State introduction