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Related Concept Videos

Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...

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SU-E-J-106: Atlas-Based Segmentation: Evaluation of a Multi-Atlas Approach for Lung Cancer.

S Pirozzi1, M Horvat1, J Piper1

  • 1MIM Software Inc., Beachwood, OH.

Medical Physics
|May 19, 2017
PubMed
Summary

Multi-atlas segmentation significantly improves contouring accuracy for lung cancer treatment planning compared to single best matched (SBM) atlas methods. This approach shows promise for reducing treatment planning time.

Keywords:
CancerComputed tomographyHeartLungsMedical treatment planningRadiation therapy

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Area of Science:

  • Radiotherapy and Medical Imaging
  • Computational Anatomy and Image Analysis

Background:

  • Atlas-based segmentation is a valuable tool for reducing contouring time in radiotherapy planning.
  • Previous research demonstrated multi-atlas segmentation's superiority over single best matched (SBM) atlas methods for head and neck cancers.

Purpose of the Study:

  • To evaluate the efficacy of a multi-atlas segmentation technique for lung cancer treatment planning.
  • To compare the accuracy of multi-atlas segmentation against the SBM approach in lung cancer cases.

Main Methods:

  • Utilized an SBRT lung atlas with 82 subjects and manually defined contours for organs at risk.
  • Evaluated SBM and multi-atlas segmentation (3, 4, and 5 atlases) on 16 subjects.
  • Generated multi-atlas segmentations using Majority Vote and calculated Dice Similarity Coefficients (DSC) against gold standard contours.

Main Results:

  • All multi-atlas methods demonstrated significantly higher accuracy than SBM (p < 0.0005).
  • Average DSC for multi-atlas methods ranged from 0.802 to 0.809, compared to 0.773 for SBM.
  • Multi-4 atlas approach yielded the greatest improvement over SBM, with a 16% increase in accuracy.

Conclusions:

  • Multi-atlas segmentation significantly enhances contouring accuracy for lung cancer treatment planning compared to SBM.
  • While manual editing is still necessary, this method offers potential for substantial reductions in contouring time.
  • The multi-atlas technique shows promise for streamlining the radiotherapy planning process for lung cancer.