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Title: Morphometric Atlas Selection for Automatic Brachial Plexus Segmentation

Abstract

Purpose: The purpose of this study was to determine the effects of atlas selection based on different morphometric parameters, on the accuracy of automatic brachial plexus (BP) segmentation for radiation therapy planning. The segmentation accuracy was measured by comparing all of the generated automatic segmentations with anatomically validated gold standard atlases developed using cadavers. Methods and Materials: Twelve cadaver computed tomography (CT) atlases (3 males, 9 females; mean age: 73 years) were included in the study. One atlas was selected to serve as a patient, and the other 11 atlases were registered separately onto this “patient” using deformable image registration. This procedure was repeated for every atlas as a patient. Next, the Dice and Jaccard similarity indices and inclusion index were calculated for every registered BP with the original gold standard BP. In parallel, differences in several morphometric parameters that may influence the BP segmentation accuracy were measured for the different atlases. Specific brachial plexus-related CT-visible bony points were used to define the morphometric parameters. Subsequently, correlations between the similarity indices and morphometric parameters were calculated. Results: A clear negative correlation between difference in protraction-retraction distance and the similarity indices was observed (mean Pearson correlation coefficient = −0.546). All of the othermore » investigated Pearson correlation coefficients were weak. Conclusions: Differences in the shoulder protraction-retraction position between the atlas and the patient during planning CT influence the BP autosegmentation accuracy. A greater difference in the protraction-retraction distance between the atlas and the patient reduces the accuracy of the BP automatic segmentation result.« less

Authors:
 [1];  [2];  [1]; ; ; ;  [3];  [1]
  1. Department of Anatomy, Ghent University, Ghent (Belgium)
  2. (Belgium)
  3. Department of Radiotherapy, Ghent University, Ghent (Belgium)
Publication Date:
OSTI Identifier:
22462364
Resource Type:
Journal Article
Resource Relation:
Journal Name: International Journal of Radiation Oncology, Biology and Physics; Journal Volume: 92; Journal Issue: 3; Other Information: Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; ACCURACY; COMPARATIVE EVALUATIONS; COMPUTERIZED TOMOGRAPHY; FEMALES; IMAGES; INCLUSIONS; PATIENTS; PLANNING; RADIOTHERAPY

Citation Formats

Van de Velde, Joris, E-mail: joris.vandevelde@ugent.be, Department of Radiotherapy, Ghent University, Ghent, Wouters, Johan, Vercauteren, Tom, De Gersem, Werner, Duprez, Fréderic, De Neve, Wilfried, and Van Hoof, Tom. Morphometric Atlas Selection for Automatic Brachial Plexus Segmentation. United States: N. p., 2015. Web. doi:10.1016/J.IJROBP.2015.02.045.
Van de Velde, Joris, E-mail: joris.vandevelde@ugent.be, Department of Radiotherapy, Ghent University, Ghent, Wouters, Johan, Vercauteren, Tom, De Gersem, Werner, Duprez, Fréderic, De Neve, Wilfried, & Van Hoof, Tom. Morphometric Atlas Selection for Automatic Brachial Plexus Segmentation. United States. doi:10.1016/J.IJROBP.2015.02.045.
Van de Velde, Joris, E-mail: joris.vandevelde@ugent.be, Department of Radiotherapy, Ghent University, Ghent, Wouters, Johan, Vercauteren, Tom, De Gersem, Werner, Duprez, Fréderic, De Neve, Wilfried, and Van Hoof, Tom. Wed . "Morphometric Atlas Selection for Automatic Brachial Plexus Segmentation". United States. doi:10.1016/J.IJROBP.2015.02.045.
@article{osti_22462364,
title = {Morphometric Atlas Selection for Automatic Brachial Plexus Segmentation},
author = {Van de Velde, Joris, E-mail: joris.vandevelde@ugent.be and Department of Radiotherapy, Ghent University, Ghent and Wouters, Johan and Vercauteren, Tom and De Gersem, Werner and Duprez, Fréderic and De Neve, Wilfried and Van Hoof, Tom},
abstractNote = {Purpose: The purpose of this study was to determine the effects of atlas selection based on different morphometric parameters, on the accuracy of automatic brachial plexus (BP) segmentation for radiation therapy planning. The segmentation accuracy was measured by comparing all of the generated automatic segmentations with anatomically validated gold standard atlases developed using cadavers. Methods and Materials: Twelve cadaver computed tomography (CT) atlases (3 males, 9 females; mean age: 73 years) were included in the study. One atlas was selected to serve as a patient, and the other 11 atlases were registered separately onto this “patient” using deformable image registration. This procedure was repeated for every atlas as a patient. Next, the Dice and Jaccard similarity indices and inclusion index were calculated for every registered BP with the original gold standard BP. In parallel, differences in several morphometric parameters that may influence the BP segmentation accuracy were measured for the different atlases. Specific brachial plexus-related CT-visible bony points were used to define the morphometric parameters. Subsequently, correlations between the similarity indices and morphometric parameters were calculated. Results: A clear negative correlation between difference in protraction-retraction distance and the similarity indices was observed (mean Pearson correlation coefficient = −0.546). All of the other investigated Pearson correlation coefficients were weak. Conclusions: Differences in the shoulder protraction-retraction position between the atlas and the patient during planning CT influence the BP autosegmentation accuracy. A greater difference in the protraction-retraction distance between the atlas and the patient reduces the accuracy of the BP automatic segmentation result.},
doi = {10.1016/J.IJROBP.2015.02.045},
journal = {International Journal of Radiation Oncology, Biology and Physics},
number = 3,
volume = 92,
place = {United States},
year = {Wed Jul 01 00:00:00 EDT 2015},
month = {Wed Jul 01 00:00:00 EDT 2015}
}