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Supplement 189: Parametric Blending Presentation State Storage Supplement 189: Parametric Blending Presentation State Storage

Supplement 189: Parametric Blending Presentation State Storage - PowerPoint Presentation

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Uploaded On 2024-03-13

Supplement 189: Parametric Blending Presentation State Storage - PPT Presentation

1 Overview Objective Input data Blending operation Example 2 Blending Presentation State introduction Objective Allowing to show spatial relationship of the parametric maps and structural images without loosing the ability to use ID: 1048179

state presentation introduction color presentation state color introduction opacity blending relative coloring information image padding threshold input lut individual

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1. Supplement 189:Parametric Blending Presentation State Storage1

2. OverviewObjectiveInput dataBlending operationExample2Blending Presentation State introduction

3. ObjectiveAllowing to show spatial relationship of the parametric maps and structural images without loosing the ability to use:GeometrySpatial and Parametric InformationThresholdsMajor usage for Surgery and Therapy planningIs Modality independent3Blending Presentation State introduction

4. Input DataDescribing the different information sets that will be blended:Structural dataset(s) for anatomyParametric Maps for Functional Information4Blending Presentation State introduction

5. Blending operationApply Threshold to highlight the important areasSupports the use of the Color information in the input datasetsBlends the different datasets in specified order without losing the color information 5Blending Presentation State introduction

6. Blending operationRequires Frame of Reference Supports usage of Padding Graphics overlaysSegmented Color LUT descriptionReal World value measurementsExpects CP 1584 to be finalized for color support in Parametric maps.6Blending Presentation State introduction

7. ExampleBlending Presentation State introduction7Use case is brain mapping for pre-treatment planning.The goal is to visualize white matter, eloquent cortex for language with respect to the anatomyWhite matter is done by Color DTI Eloquent cortex is done by multiple language fMRI paradigmsAnatomy is post contrast T1

8. Example ResultBlending Presentation State introduction8View combining:Anatomical image3 parametric mapsDTI mapUsing:ThresholdsOpacity

9. Individual Images9AnatomicalBlending Presentation State introduction

10. Individual Images10Parametric map showing coloring and applying threshold coloring of the imageBlending Presentation State introduction

11. Individual Images11Parametric map showing coloring and applying threshold coloring of the imageBlending Presentation State introduction

12. Individual Images12Parametric map showing coloring and applying threshold coloring of the imageBlending Presentation State introduction

13. Individual Images13RGB image showing the DTI information having no thresholdBlending Presentation State introduction

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

15. Stored Values(RWV)ApplyColor LUT(optional)Apply (RWV) Threshold (optional)Coloring operationFull Color ImageThresholded Color ImageConvert Grayscale to RGB if no LUT is specifiedApplying color LUT is null operation if input is RGB imageApplying Threshold is an optional stepInput for Blending

16. Color Image 1Blend Color ImagesBlending operationColor Image 2Input for Blending or DisplayBlending mode FOREGROUNDRequires Relative Opacity (RO)Only valid with 2 input imagesBoth inputs padding value  output padding valueOne input non-padding value  output non-padding valueBoth inputs non-padding value  output RO * value1 + (1 – RO) * value2Relative Opacity1 - Relative Opacity

17. Color Image 1Blend Color ImagesBlending operationColor Image nInput for Blending or DisplayBlending mode EQUALRelative Opacity = 0 if pixel is NOT contributingRelative Opacity = 1/n* if pixel is contributingNo restriction on nn* is number of contributing pixels0 or 1 / n*0 or 1 / n*Color Image 20 or 1 / n*Relative Opacity…

18. Result view18Result view after blending of the different imagesBlending Presentation State introduction

19. Result view19Result view after blending of the different images with application added information.Blending Presentation State introduction

20. What is not specified20The algorithms used to make the different spatial datasets map to each otherWindowing of gray scale information before it is colored and blendedBlending Presentation State introduction