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Purpose
This feature introduces a tool to automatically generate bidimensional measurements on the largest in-plane slice of a 3D segmentation, capturing both the longest diameter along the lesion’s main axis and the longest perpendicular diameter within the same slice. This allows for precise, standardized measurements that are especially useful for tracking lesion growth or shrinkage over time.
Why This Matters
Bidimensional measurements are a critical part of assessing lesion progression in medical imaging, particularly in oncology. By automating the placement of these measurements on the largest slice of a lesion, this tool reduces manual effort and improves measurement consistency. This feature is valuable for clinicians and researchers who need reliable data to monitor lesion size and respond to treatment effects.
Key Changes
Automatic Slice Selection: Identifies the largest in-plane slice of a 3D segment for accurate bidimensional measurement placement.
Dual Measurement Placement: Places the longest diameter along the lesion’s main axis and a perpendicular diameter within the contour on the selected slice.
Measurement Integration: Inherits the color, thickness, and style of the original contour, with vertex coordinates available in DICOM pixel space for easy data extraction.
Impact on Users and Developers
For Users: This tool provides an easy, accurate way to generate in-plane measurements on lesions, streamlining workflows and improving consistency in size assessments.
For Developers: The tool provides programmatic access to measurement coordinates in DICOM pixel space, making it easier to integrate measurement data into reporting and analysis pipelines.
The text was updated successfully, but these errors were encountered:
sedghi
changed the title
[Feature Request] Generate In-Plane Bidimensional Measurement from 3D Segment on Largest Slice
[3.10-BM] Generate In-Plane Bidimensional Measurement from 3D Segment on Largest Slice
Nov 14, 2024
Purpose
This feature introduces a tool to automatically generate bidimensional measurements on the largest in-plane slice of a 3D segmentation, capturing both the longest diameter along the lesion’s main axis and the longest perpendicular diameter within the same slice. This allows for precise, standardized measurements that are especially useful for tracking lesion growth or shrinkage over time.
Why This Matters
Bidimensional measurements are a critical part of assessing lesion progression in medical imaging, particularly in oncology. By automating the placement of these measurements on the largest slice of a lesion, this tool reduces manual effort and improves measurement consistency. This feature is valuable for clinicians and researchers who need reliable data to monitor lesion size and respond to treatment effects.
Key Changes
Impact on Users and Developers
The text was updated successfully, but these errors were encountered: