Материал: part17

FFFF Advanced Blending Presentation State​

Storage Encoding Example (Informative)​

This section illustrates the usage of the Advanced Blending Presentation State for a functional MRI study.​

FFFF.1 Introduction​

Quantitative imaging provides measurements of physical properties, in vivo and non-invasively, for research and clinical practice.​ DICOM support for parametric maps provides a structure for organizing these results as an extension of the already widely-used​ imaging standard. The addition of color LUT support for parametric maps bridges the gap between data handling and visualization.​

AnexampleofquantitativeimaginginclinicalpracticetodayistheuseofMRI,PETandothermodalitiesinbrainmappingfordiagnostic​ assessment in pre-treatment planning for tumor, epilepsy, arterio-venous malformations (AVMs) and other conditions. MR Diffusion​ tensor imaging (DTI) results in fractional anisotropy (FA) and other parametric maps highlighting white matter structures. Task-based​ functional MRI (fMRI) highlights specific areas of eloquent cortex (gray matter) as expressed in statistical activation maps. Other​ parameters and modalities including perfusion, MR spectroscopy, and PET are often employed to locate and characterize lesions by​ means of their hyperand hypo-metabolism and -perfusion in parametric maps.​

The visualization of multiple parametric maps and sources of anatomical information in the same space requires the tools to highlight​ areas of interest (and hide irrelevant areas) in parametric maps. Two important tools provided in this supplement are thresholding of​ parametric maps by their real-world values, and blending of multiple images in a single view.​

In this example the series 2 to 5 have a lower resolution and are expected to be resampled to have the same resolution as series 1​ as this is identified as series to be used for target Geometry.​

FFFF.2 Example​

The example describes the blending of five series:​

Series 1: the anatomical series which is stored as a single volume in an Enhanced MR Image object having no Color LUT attached.​ The Image will be displayed with a Relative Opacity of 0.7.​

Figure FFFF.2-1. Anatomical image​

Series 2: the DTI series which is stored as an Enhanced MR Color Image object means that no RGB transformation is needed. The​ Image will be displayed with a Relative Opacity of 1 - 0.7.​

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Figure FFFF.2-2. DTI image​

Series 3: Reading task captured in a Parametric Map with Color LUT Winter attached to it. The Image will be displayed with threshold​ range 6% to 50%. Opacity will be equal divided with the other two task maps.​

Figure FFFF.2-3. Reading task image with coloring and threshold applied​

Series 4: Listening task captured in a Parametric Map with Color LUT Fall attached to it. The Image will be displayed with threshold​ range 9% to 60%. Opacity will be equal divided with the other two task maps.​

Figure FFFF.2-4. Listening task image with coloring and threshold applied​

Series 5: Silent word generation task captured in a Parametric Map with Color LUT Spring attached to it. The Image will be displayed​ with threshold range 7% to 75%. Opacity will be equal divided with the other two task maps.​

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Figure FFFF.2-5. Silent word generation task image with coloring and threshold applied​

The result of the first blending operation (FOREGROUND) will be blended with the result of the second blending operation (EQUAL)​ through a FOREGROUND blending operation with a Relative Opacity of 0.6.​

Figure FFFF.2-6. Blended result​

Figure FFFF.2-6 shows the final result with information of patient and different blended image layers. The overlay of the patient and​ layer information is not described in the object but would be application specific behavior.​

Figure FFFF.2-7. Blended result with Patient and Series information​

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Page 834​ DICOM PS3.17 2020a - Explanatory Information​

FFFF.3 Encoding Example​

Table FFFF.3-1. Encoding Example​

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