Code for compling a simple SR textual report suitable for uploading at ORTHANC and view via OHIF

dicom_sr_template.py

import highdicom as hd
from pydicom.sr.codedict import codes

# Define three textual findings
finding = hd.sr.TextContentItem(
    name=codes.DCM.Finding,
    value="FINDING TEXTUAL CONTENT GOES HERE",
    relationship_type=hd.sr.RelationshipTypeValues.CONTAINS)

# Subsection of the Report.
# NOTE: You can make them as many as you like.
block = hd.sr.ContainerContentItem(
    name=codes.DCM.Finding,
    relationship_type=hd.sr.RelationshipTypeValues.CONTAINS)
setattr(block, "ContentSequence", [finding])

# Section of the report.
container = hd.sr.ContainerContentItem(name=codes.DCM.StructuredReportDocument)
setattr(container, "ContentSequence", [block])

# NOTE: We use dataset as a required evidence for the SR.
# https://github.com/pydicom/contrib-pydicom/raw/refs/heads/master/plotting-visualization/matplotlib-dicom/CT_small.dcm
ds = hd.imread('CT_small.dcm')

sr_dataset = hd.sr.ComprehensiveSR(
    evidence=[ds],
    content=container,
    # Important: Generate new Series and SOP.
    # Otherwise, ORTHANC would avoid registration of this item (if it is already exist).
    series_instance_uid=hd.UID(),
    sop_instance_uid=hd.UID(),
    series_number=1,
    instance_number=1)

sr_dataset.save_as("sr.dcm")