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Managing Data Sets for Advanced Visualization Testing in Radiology

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This presentation focuses on creating and managing data sets to ensure reading applications function effectively with various top-end scanners. It covers critical aspects such as instructing field staff on collecting relevant studies, proper anonymization protocols, and organizing large amounts of data. Key findings from multiple imaging modalities, including MR4D and Dynamic CT, reveal common challenges faced by vendors in maintaining interoperability. The importance of adhering to DICOM standards to facilitate interoperability and enhance advanced imaging applications is emphasized.

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Managing Data Sets for Advanced Visualization Testing in Radiology

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  1. Creating & Managing Data Sets for Adv. Visualization Testing Björn Nolte Siemens AG Line Manager R&DErlangen, Germany DICOM WG6

  2. Creating & Managing Data Sets for Adv. Visual. Testing • The goal: Do reading apps work well with top scanners? • How to instruct field staff to collect the right studies? • How do we anonymize studies to the right level? • How to organize large amount of collected studies? • How do we trigger apps with vendor specific studies? • Key findings: MR4D, Adv. MR, Dynamic CT • Conclusion Creating & Managing Data Sets for Adv. Visualization Testing

  3. The goal: Do reading apps work well with top scanners? • We want to ensure that radiologists can run as many workflows and apps as possible on any suitable studies – independent of vendor Creating & Managing Data Sets for Adv. Visualization Testing

  4. How to instruct field staff to collect the right studies? • The REQUEST: Please provide the following type of studies from all important MR, CT and PET scanners: • MR perfusion - passage of blood through the brain's vascular network • CT studies containing 10 heart beats • MR and PET studies suitable for registration • The DELIVERY: We received unsorted studies from a specific day or days at the contributing clinic Creating & Managing Data Sets for Adv. Visualization Testing

  5. How do we anonymize studies to the right level? • Anonymizing is described in DICOM PS3.15 • Acquisition Time is important for dynamic studies, e.g. contrast agent • Missing Series Description • Private data contained full private address • Private data necessary for specific workflow • Series where not kept together within a study ATTRIBUTE CONFIDENTIALITY PROFILE (0008,0032) (0008,103E) TOOLING Creating & Managing Data Sets for Adv. Visualization Testing

  6. How to organize large amount of collected studies? • The general model of DICOM is very useful for structuring large sets of studies • 18 vendors • 200 scanner products • 1 Tbyte real world DICOM studies • 66 advanced applications Creating & Managing Data Sets for Adv. Visualization Testing

  7. How do we trigger apps with vendor specific studies? • We tracked and verified which workflows and apps worked with collected studies from appropriate scanners • Successful test: scanner  workflow • Studies available, tests fail • Tests ok or failing at clinical site • Priority wish list for missing studies Creating & Managing Data Sets for Adv. Visualization Testing

  8. Key findings – MR 4D Study • Vendors use Acquisition Time DICOM conform but totally different(e.g. brain, liver, breast cancer) • Studies with several different phases, e.g. usage of contrast agents. • Vendor 1: Acquisition Time is later for each new phase • Vendor 2: Acquisition Time always contains the initial time point, but increments Temporal Position Identifier for each phase • Vendor 3: Acquisition Time always contains the initial time point (0020,0100) Creating & Managing Data Sets for Adv. Visualization Testing

  9. Key findings – Dynamic CT • Vendors code Scan OptionsDICOM conform but totally different for dynamic studies with 3 or more phases. (E.g. Angio)Vendor 1: • XOP\A4DS\0001\CONT\A4TP000000MS00  A4DS = Adaptive 4D spiral scan • A4CS = Adaptive 4D cardiac shuttle mode = EGC triggered heart perfusion • DSEQ = Dynamic sequence scan • MULS = Dynamic multi scan • Vendor 2: • CINE MODE • Vendor 3: • DYNAMIC_CT • Vendor 4…n: • No information (Most frequent case) • Work around: Sorting and grouping of time points: DICOM Acquisition Datetimein combination with DICOM Image Position Patient (z-coordinate) (0018,0022) (0008,002A) (0020,0032) Creating & Managing Data Sets for Adv. Visualization Testing

  10. Key findings – Adv. MR • For advanced MR applications: • functional MR, • MR Spectroscopy • MR Cardiac • There is no common interoperability. • The necessary application specific attributes are stored as private. • Many issues would be solved when vendors in general would adapt to Enhanced MR DICOM objects. Creating & Managing Data Sets for Adv. Visualization Testing

  11. Conclusion • The DICOM standard has served the interoperability goal very well over a very long time. • The DICOM standard is living and there is a need for further advances of the standard as new application and scanner scenarios get developed. Creating & Managing Data Sets for Adv. Visualization Testing

  12. Author Contacts • Björn Nolte bjoern.nolte@siemens.com Thank you for your attention ! Creating & Managing Data Sets for Adv. Visualization Testing

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