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Methodological approach to create an atlas using a commercial auto-contouring software.

Marta Casati1, Stefano Piffer2,3, Silvia Calusi2

  • 1Department of Medical Physics, Careggi University Hospital, Florence, Italy.

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|November 25, 2020
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Summary

This study developed an optimized auto-contouring atlas for male pelvis CT scans, significantly improving contour accuracy and reducing treatment planning time. The new atlas outperforms the standard MIM Software atlas for radiation oncology applications.

Keywords:
CTatlasautomatic contouringmethodological approachpelvisradiotherapysegmentation

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Area of Science:

  • Medical Imaging
  • Radiation Oncology
  • Computational Anatomy

Background:

  • Accurate auto-contouring in radiation oncology is crucial for precise treatment planning.
  • Existing commercial software atlases may require optimization for specific anatomical regions like the male pelvis.
  • Developing customized atlases can enhance the efficiency and accuracy of automated segmentation processes.

Purpose of the Study:

  • To establish a methodological approach for creating and optimizing a male pelvis atlas for auto-contouring using MIM MAESTRO software.
  • To evaluate the impact of different tools and workflow options on the accuracy of automatic segmentation.
  • To compare the performance of the developed atlas against the default commercial software atlas.

Main Methods:

  • A computed tomography (CT) male pelvis atlas was created and optimized using MIM MAESTRO.
  • Pelvic lymph nodes (PLN), rectum, bladder, and femurs from 55 subjects were reviewed for consistency.
  • Key parameters including deformable image registration (DIR), atlas selection (k number), and post-processing options were tuned.
  • Atlas performance was validated using Dice Similarity Coefficient (DSC) and Mean Distance to Agreement (MDA) on 20 test subjects.
  • The effect of field of view (FOV) reduction on auto-contouring time was assessed.

Main Results:

  • The optimized atlas and workflow achieved high median DSC values (e.g., 0.91 for bladder, 0.96 for femurs) and low MDA values (e.g., 0.5 mm for femurs).
  • Statistically significant improvements in auto-contour accuracy were observed compared to the default MIM Software pelvic atlas.
  • Auto-contouring time was reduced by over 50% through strict FOV cropping to the pelvic region.

Conclusions:

  • The developed methodological approach successfully created and optimized a male pelvis auto-contouring atlas.
  • The optimized atlas and workflow provide superior accuracy for auto-contouring pelvic structures in CT images.
  • This approach offers a valuable tool for enhancing radiation treatment planning efficiency and precision.