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Image Fusion Profile

Image Fusion Profile. IHE North America Webinar Series 2008 Chris Lindop IHE Radiology GE Healthcare. Image Fusion Terminology. Registration – Spatially align two datasets in x,y,z space Rigid – Translate, Rotate, Scale Warped (Deformable Registration) – Not supported yet

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Image Fusion Profile

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  1. Image Fusion Profile IHE North America Webinar Series 2008 Chris Lindop IHE Radiology GE Healthcare

  2. Image Fusion Terminology • Registration – Spatially align two datasets in x,y,z space • Rigid – Translate, Rotate, Scale • Warped (Deformable Registration) – Not supported yet • Resampling – For display, account for differences in matrix size, FOV (3 dimensions), # of slices, slice thickness, orientation. • Fusion – Display 2 datasets superimposed, with control of blending

  3. Image Fusion- General Use Case CT MR • Tech acquires two or more series of images, possibly separated in time. • Tech performs registration, and stores results data. • Radiologist reads study or Oncologist completes RT planning on RT Planning System. • Referring Physician or Researcher reviews results.

  4. Fusion- The Integration Problem • Results not readily transferable between systems • Proprietary or inconsistent implementations • General Display systems lack display capabilities • Lack of understanding of use of existing DICOM objects • Lack of guidance • Results presented on different systems may not appear the same. • Some systems support side-by-side only, or fused only, but not both. • Systems must correctly handle issues such as • Identifying and retrieving the right datasets • Matching data between single-slice and multi-slice datasets • Performing spatial translations • Rendering the fused display

  5. Fusion- The Integration Solution • A collection of DICOM objects exists to address the problem. • Their use is constrained and clarified to avoid misinterpretation and promote compatibility. • This Profile does NOT define algorithms for performing spatial transformations, registration, resampling, etc.

  6. SRO Spatial Registration Object Image 1 • Encodes alignment transformation • Identifies the registered space • References the images to be aligned • Not required for hybrid scanner with common registration Image 2 Transformation

  7. SRO BPS Blending Presentation State Image 1 Image 2 Transformation Window – 1 Window – 2 Color Table Transparency References one set of underlying images (e.g. CT) References one set of superimposed images (e.g. PET) References (optionally) a Registration Object Encodes the window level for each set Encodes the overlay transparency blending factor (0 to 100%)

  8. Blending PresentationOverlay Transparency 20% 50% 80% 50% 50% 50% 100%

  9. Load CT and PET images Align images (automatically or manually) and fuse with desired blending factor Store the alignment: Registration object Blending State (defining the blending factor, window levels and referencing all other objects) Storage can be on PACS or disk. Images do not need to be stored if already stored. Blending State Registration Object Fusion Workflow- Preparation CT PET

  10. Blending state can be searched and retrieved from PACS Can be used to retrieve the image data and the alignment automatically. User selects a Blending state. Automatically load referenced objects. Alignment applied, PET re-sampled to CT and displayed fused automatically . Display is required to provide Scrolling through volume Adjustment of fusion blending and window levels MPR Side-by-side display Blending State Registration Object Fusion- Display PET CT

  11. Essential Clinical Features • MPR • Fusion • Side-by-side • Registered

  12. Use Case- The IT Solution Modality CT Modality MR Image Archive Evidence Creator Image Display Store CT Store MR Retrieve CT, MR Register MR to CT Fuse CT and MR Store SRO Store BSPS General Case: 2 modalities Retrieve CT, MR, SRO, BSPS Apply T to MR Fuse CT and MR

  13. Value Proposition - User • Consistent and reliable acquisition, storage and presentation of fused data across vendors • Acquisition on “A” and “B”; • Fusion on “C”; • Display on “D” • Easy to list in an RFP • Defines a minimum set of interoperable fusion features. • Clinically relavent • Supports general needs in radiation oncology pre-planning • Modality independent • Applies to PET/CT, CT/MR etc

  14. Value Proposition - Vendor • A baseline interoperability framework on how to encode the DICOM objects of fused data. • A convenient way for vendors to offer a required set of functionality to the customer. • Common approach for all modalities • Common Approach to all Clinical Applications • Radiology • Radiation Oncology • Surgery, etc

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