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Yang J, Garden A, Zhang Y, et al. WE-E-213CD-09: Multi-Atlas Fusion Using a Tissue Appearance Model. Med Phys. 2012;39(6):3961doi: 10.1118/1.4736165.
Yang, J., Garden, A., Zhang, Y., Zhang, L., Court, L., & Dong, L. (2012). WE-E-213CD-09: Multi-Atlas Fusion Using a Tissue Appearance Model. Medical physics, 39(6), 3961. https://doi.org/10.1118/1.4736165
Yang, J, et al. "WE-E-213CD-09: Multi-Atlas Fusion Using a Tissue Appearance Model." Medical physics vol. 39,6 (2012): 3961. doi: https://doi.org/10.1118/1.4736165
Yang J, Garden A, Zhang Y, Zhang L, Court L, Dong L. WE-E-213CD-09: Multi-Atlas Fusion Using a Tissue Appearance Model. Med Phys. 2012 Jun;39(6):3961. doi: 10.1118/1.4736165. PMID: 28519979.
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Med Phys. 2012 Jun;39(6):3961. doi: 10.1118/1.4736165.

WE-E-213CD-09: Multi-Atlas Fusion Using a Tissue Appearance Model.

Medical physics

J Yang, A Garden, Y Zhang, L Zhang, L Court, L Dong

Affiliations

  1. UT MD Anderson Cancer Center, Houston, TX.
  2. Scripps Proton Therapy Center, San Diego, CA.

PMID: 28519979 DOI: 10.1118/1.4736165

Abstract

PURPOSE: To improve multi-atlas based auto-segmentation by integrating a tissue appearance model with the Simultaneous Truth and Performance Level Estimation (STAPLE) algorithm to perform multi-atlas fusion.

METHODS: Ten head-and-neck planning CT images were acquired (resolution: 1.0×1.0×2.5mm

RESULTS: The multi-atlas fusion using the tissue appearance model produced an average Dice coefficient of 85.2%±3.1% (left parotid) and 84.9%±3.9% (right parotid) over the 10 tests between the auto-contour and the manual contour, and an average mean surface distance of 1.6±0.3mm and 1.6±0.4mm for left and right parotids respectively. This demonstrated a good agreement between the manual contours and the auto- delineated contours. Our results also showed that, without using the tissue appearance model, the auto-delineated parotid contours might include nearby bony structures; however, using the appearance model was able to correct this problem.

CONCLUSIONS: Including the intensity information using a tissue appearance model into STAPLE algorithm for multi-atlas fusion showed improvement in refining the anatomical boundaries in the multi- atlas based auto-segmentation.

© 2012 American Association of Physicists in Medicine.

Keywords: Cancer; Computed tomography; Information integration; Medical imaging; Tissues

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