DICOM4MICCAI Hands-on
  • Introduction
  • Prerequisites
    • If you are attending the tutorial in-person
    • If you are following on your own
  • Using DICOM to store your analysis results
    • Using 3D Slicer to convert non-DICOM segmentation results
    • DICOM Structured Reporting for radiomics
    • Using 3D Slicer for storing analysis results in DICOM
      • Step 0: 3D Slicer interface basics
      • Step 1: Import DICOM data
      • Step 2: Load DICOM image
      • Step 3: Segment lesions
      • Step 3.1:QuantitativeReporting interface overview
      • Step 3.2: Create and initialize a new segment
      • Step 3.3: Segment the lesions
      • Step 4: Explore and store the analysis results in DICOM
      • Step 5: Reload the analysis results from DICOM
      • Exporting DICOM data from 3D Slicer
    • Using MITK Workbench for storing segmentation results in DICOM
      • Step 0: MITK interface basics
      • Step 1: Import DICOM data
      • Step 2: Load DICOM image
      • Step 3: Segment lesions
      • Step 4: Explore and store the segmentations in DICOM
      • Step 5: Reload the segmentations from DICOM
  • DICOM data wrangling
  • Further reading
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  1. Using DICOM to store your analysis results
  2. Using 3D Slicer for storing analysis results in DICOM

Step 3.1:QuantitativeReporting interface overview

PreviousStep 3: Segment lesionsNextStep 3.2: Create and initialize a new segment

Last updated 6 years ago

Quantitative Reporting is a module that supports segmentation and measurements from a DICOM image series.

Once the module is selected, choose "Create new Table" in the "Measurement report" selector in the module UI. This will create the top level data structure that will keep pointers to the image and the analysis results in the Slicer application.

Once the report node is created, you will see selector for the "master volume" - this is the volume we will be segmenting. Click the selector, and choose the only item in the drop-down list named QIN-HEADNECK-01-0024_1986-08-10_(SUVbw) that corresponds to the SUV volume we have just loaded.

Now we are ready to do the segmentation! First locate the lesions in the dataset downloaded in the . Scroll to the level of head in the axial 2D viewer (you can use move the mouse with the right mouse button pressed to zoom in). You will see some areas highlighted below that are darker than the surrounding tissue - we will segment those metabolically active areas using automated segmentation tools.

Prerequisites