Assertion Collection in DICOM Working Group 07 Radiotherapy
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With an increasing number of DICOM Instances from different
modalities for a single patient visit and related assertions for them,
such as approval, the need to collect these assertions outside the actual
Instances arises.
The Assertion Collection IOD addresses these issues, along with
providing contextual information for the assertion and identification
information for the referenced Instances.
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Collect assertions for DICOM Instances during a clinical procedure
or workflow
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Provide meta information who made which assertion and when
•
Provide contextual information, so that the Assertion Collection
Instance is self-contained and does not require further evaluation of
referenced Instances
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The Assertion Collection allows to combine Instances or groups of
Instances (Studies or Series) in so-called Reference Collections.
It is then possible to record real-world decisions (e.g. added
to/removed from Reference Collection, unreviewed/reviewed,
approved/unapproved/rejected, …) for these Reference Collections.
Keeping this record separate to the Instances, Series and Studies makes
it possible to avoid duplicating images and collection of images to
change assertion information for the images.
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Trace of Assertions
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Registration A
CT
MR
Assertion Collection 1
•
CT Series: Added; Dr. Stein, Frank. N. (Resident); Nov 14, 2022
•
MR Series: Added; Dr. Stein, Frank. N. (Resident); Nov 14, 2022
•
Registration A: Added; Dr. Stein, Frank. N. (Resident); Nov 14, 2022
A CT and an MR Series are acquired and Dr. Frank N. Stein adds them to an
Assertion Collection Instance. In addition, Dr. Stein co-registers the image data
sets and also adds a Registration Instance.
Trace of Assertions
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Registration A
CT
MR
Assertion Collection 2
•
CT Series: Approved; Dr. Acula (Attending); Nov 15, 2022
•
MR Series: Approved; Dr. Acula (Attending); Nov 15, 2022
•
Registration A: Removed; Dr. Acula (Attending); Nov 15, 2022
•
Registration B: Added, Approved; Dr. Acula (Attending); Nov 15, 2022
•
Predecessor: Assertion Collection 1
The next day, the image Series are approved for further use by Dr. Acula, but he
is not satisfied with performed registration and rejects the Registration Instance.
Dr. Acula co-registers the image data sets again, and adds and approves the new
Registration by creating a new Assertion Collection Instance the references the
Instance of the prior day.
Registration B
Trace of Assertions
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Registration A
CT
MR
Assertion Collection 3
•
CT Series: Approved; Dr. Acula (Attending); Nov 15, 2022
•
MR Series: Approved; Dr. Acula (Attending); Nov 15, 2022
•
Registration B: Added, Approved; Dr. Acula (Attending); Nov 15, 2022
•
Segmentation: Added, ACME Segmenter Software; Nov 16, 2022
•
Predecessor: Assertion Collection 2
Based on this result, the ACME Segmenter Software automatically creates
Segmentation Instances and adds them to a new Assertion Collection along with
the existing Reference Collections.
Registration B
Segmentation
-
Segment 1
-
Segment 2
Trace of Assertions
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Registration A
CT
MR
Assertion Collection 4
•
CT Series: Approved; Dr. Acula (Attending); Nov 15, 2022
•
MR Series: Approved; Dr. Acula (Attending); Nov 15, 2022
•
Registration B: Added, Approved; Dr. Acula (Attending); Nov 15, 2022
•
Segmentation-Segment 1: Approved; Dr. Acula (Attending); Nov 17, 2022
•
Segmentation-Segment 2: Rejected; Dr. Acula (Attending); Nov 17, 2022
•
Predecessor: Assertion Collection 3
Dr. Acula then approves Segment 1 for further clinical usage, but rejects
Segment 2 by creating another Assertion Collection Instance, which again
references the Instance from the day before.
Registration B
Segmentation
-
Segment 1
-
Segment 2
Main Editor
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Solomon - Analysis objects
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The Assertion Collection IOD addresses the need to collect assertions outside DICOM Instances, providing contextual and identification information. It aims to collect assertions for DICOM Instances during clinical procedures, providing meta information about assertions and allowing for self-contained Instances. Real-world decisions can be recorded separately from image data, avoiding duplication. Trace of Assertions showcases how images are added, reviewed, and approved within Assertion Collection Instances. The process involves combining instances into Reference Collections, making real-world decisions, and tracking changes over multiple instances.
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Presentation Transcript
Supplement 238 Assertion Collection DICOM Working Group 07 Radiotherapy
Motivation With an increasing number of DICOM Instances from different modalities for a single patient visit and related assertions for them, such as approval, the need to collect these assertions outside the actual Instances arises. The Assertion Collection IOD addresses these issues, along with providing contextual information for the assertion and identification information for the referenced Instances. 2
Scope Collect assertions for DICOM Instances during a clinical procedure or workflow Provide meta information who made which assertion and when Provide contextual information, so that the Assertion Collection Instance is self-contained and does not require further evaluation of referenced Instances 3
Real-World Process The Assertion Collection allows to combine Instances or groups of Instances (Studies or Series) in so-called Reference Collections. It is then possible to record real-world decisions (e.g. added to/removed from Reference Collection, unreviewed/reviewed, approved/unapproved/rejected, ) for these Reference Collections. Keeping this record separate to the Instances, Series and Studies makes it possible to avoid duplicating images and collection of images to change assertion information for the images. 4
Trace of Assertions A CT and an MR Series are acquired and Dr. Frank N. Stein adds them to an Assertion Collection Instance. In addition, Dr. Stein co-registers the image data sets and also adds a Registration Instance. Assertion Collection 1 CT Series: Added; Dr. Stein, Frank. N. (Resident); Nov 14, 2022 MR Series: Added; Dr. Stein, Frank. N. (Resident); Nov 14, 2022 Registration A: Added; Dr. Stein, Frank. N. (Resident); Nov 14, 2022 Registration A CT MR 5
Trace of Assertions The next day, the image Series are approved for further use by Dr. Acula, but he is not satisfied with performed registration and rejects the Registration Instance. Dr. Acula co-registers the image data sets again, and adds and approves the new Registration by creating a new Assertion Collection Instance the references the Instance of the prior day. Assertion Collection 2 CT Series: Approved; Dr. Acula (Attending); Nov 15, 2022 MR Series: Approved; Dr. Acula (Attending); Nov 15, 2022 Registration A: Removed; Dr. Acula (Attending); Nov 15, 2022 Registration B: Added, Approved; Dr. Acula (Attending); Nov 15, 2022 Predecessor: Assertion Collection 1 CT MR Registration A Registration B 6
Trace of Assertions Based on this result, the ACME Segmenter Software automatically creates Segmentation Instances and adds them to a new Assertion Collection along with the existing Reference Collections. Assertion Collection 3 CT Series: Approved; Dr. Acula (Attending); Nov 15, 2022 MR Series: Approved; Dr. Acula (Attending); Nov 15, 2022 Registration B: Added, Approved; Dr. Acula (Attending); Nov 15, 2022 Segmentation: Added, ACME Segmenter Software; Nov 16, 2022 Predecessor: Assertion Collection 2 CT MR Registration A Registration B Segmentation - Segment 1 - Segment 2 7
Trace of Assertions Dr. Acula then approves Segment 1 for further clinical usage, but rejects Segment 2 by creating another Assertion Collection Instance, which again references the Instance from the day before. Assertion Collection 4 CT Series: Approved; Dr. Acula (Attending); Nov 15, 2022 MR Series: Approved; Dr. Acula (Attending); Nov 15, 2022 Registration B: Added, Approved; Dr. Acula (Attending); Nov 15, 2022 Segmentation-Segment 1: Approved; Dr. Acula (Attending); Nov 17, 2022 Segmentation-Segment 2: Rejected; Dr. Acula (Attending); Nov 17, 2022 Predecessor: Assertion Collection 3 CT MR Registration A Registration B Segmentation - Segment 1 - Segment 2 8
Main Editor Christof Schadt Co-Chair DICOM WG-07 christof.schadt@brainlab.com Solomon - Analysis objects 9
