Harmonizing DICOM SR and AIM for Enhanced Clinical Annotation Workflow

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Mechanisms like DICOM SR and AIM offer ways to encode annotations in medical imaging, each with unique benefits. The goal is to establish bi-directional mapping for interoperability between DICOM SR-based systems and AIM workstations, particularly for tasks like tumor measurements and clinical reporting. Motivation lies in achieving seamless integration between various systems to enhance workflow efficiency and accessibility of data across the healthcare landscape.


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  1. Harmonizing DICOM SR and AIM Overlapping use cases DICOM SR is a mechanism for encoding annotations that works with clinical PACS (encoded and stored like DICOM images) AIM is a mechanism for encoding annotations that does not require DICOM expertise from developers and users both have same ROI mechanisms: DICOM Segmentations, contours, etc. Goal is to develop a bi-directional mapping for such use cases allow DICOM SR based systems to send to AIM workstations allow AIM workstations to send to DICOM PACS, voice recognition system Primary use case is tumor measurement + questions/answers e.g., tumor volume=x cm3, necrosis=present, edge=spiculated, .

  2. Motivation for Harmonization Achieve interoperability between AIM workstations DICOM SR workstations Store AIM content in PACS all clinical PACS are DICOM-based most support storage/regurgitation of DICOM SR Make AIM content available in clinical reporting systems most already accept DICOM SR input e.g., for cardiac, ultrasound, radiation dose measurements

  3. DICOM SR provides input to clinical reporting process Structured content extracted into merge fields in VR report template Evidence Document SR Voice Human Report SR, CDA, text Recognition System DICOM Images from Modality Image from David Weiss, Aunt Minnie 2013/01/18

  4. AIM World AIM AIM Annotations Workstation DICOM Image PACS Store, Distribute, Review DICOM Segmentation

  5. DICOM World DICOM Image PACS Store, Distribute, Review DICOM Segmentation Voice Recognition Reporting System DICOM SR Workstation DICOM SR

  6. Combined AIM and DICOM World AIM AIM Annotations Workstation GAP - interoperability DICOM Image PACS Store, Distribute, Review DICOM Segmentation Voice Recognition Reporting System DICOM SR Workstation DICOM SR

  7. Combined AIM and DICOM World AIM AIM Annotations Workstation GAP storage in PACS DICOM Image PACS Store, Distribute, Review DICOM Segmentation Voice Recognition Reporting System DICOM SR Workstation DICOM SR

  8. Combined AIM and DICOM World AIM AIM Annotations Workstation DICOM Image GAP use in reporting system PACS Store, Distribute, Review DICOM Segmentation Voice Recognition Reporting System DICOM SR Workstation DICOM SR

  9. Gaps Filled by SR AIM Converter AIM AIM Annotations Workstation DICOM Image PACS Store, Distribute, Review Conversion AIM <-> SR DICOM Segmentation Voice Recognition Reporting System DICOM SR Workstation DICOM SR

  10. Harmonization Approach Identify most common use cases as used by projects (e.g., TCGA-*) as implemented by tools (e.g., ePAD, NWU ClearCanvas, ATB) examine model and objects produced for projects/by tools Compare DICOM SR TID 1500 Measurement Report Image Library, ROIs (contours, segmentations), measurements, qualitative (categorical) evaluations (coded questions + answers) Define mapping in DICOM Standard Supplement 200 approved by DICOM Standards Committee as Work Item 2015-12-B Implement bi-directional mapping tool existing Java DICOM SR toolkit + XSL-T style sheet for transformation

  11. Example of a Mapping Table The following slides illustrate: a DICOM SR template TID 1411, invoked by TID 1500 a relevant segment of the AIM UML model an example of transcoded DICOM SR output an extract of a mapping table for the same template as described in Sup 200 PC

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