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Towards automated planning for unsealed source therapy

The purpose of this study was to develop and validate a technique for unsealed source radiotherapy planning that combines the segmentation and registration tasks of single‐photon emission tomography (SPECT) and computed tomography (CT) datasets. The segmentation task is automated by an atlas registr...

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Detalles Bibliográficos
Autores principales: Schreibmann, Eduard, Fox, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716513/
https://www.ncbi.nlm.nih.gov/pubmed/22766948
http://dx.doi.org/10.1120/jacmp.v13i4.3789
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author Schreibmann, Eduard
Fox, Tim
author_facet Schreibmann, Eduard
Fox, Tim
author_sort Schreibmann, Eduard
collection PubMed
description The purpose of this study was to develop and validate a technique for unsealed source radiotherapy planning that combines the segmentation and registration tasks of single‐photon emission tomography (SPECT) and computed tomography (CT) datasets. The segmentation task is automated by an atlas registration approach that takes advantage of a hybrid scheme using a diffeomorphic demons algorithm to warp a standard template to the patient's CT. To overcome the lack of common anatomical features between the CT and SPECT datasets, registration is achieved through a narrow band approach that matches liver contours in the CT with the gradients of the SPECT dataset. Deposited dose is then computed from the SPECT dataset using a convolution operation with tracer‐specific deposition kernels. Automatic segmentation showed good agreement with manual contouring, measured using the dice similarity coefficient and ranging from 0.72 to 0.87 for the liver, 0.47 to 0.93 for the kidneys, and 0.74 to 0.83 for the spinal cord. The narrow band registration achieved variations of less 0.5 mm translation and 1° rotation, as measured with convergence analysis. With the proposed combined segmentation–registration technique, the uncertainty of soft‐tissue target localization is greatly reduced, ensuring accurate therapy planning. PACS number: 87.55.de, 87.55.kd
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spelling pubmed-57165132018-04-02 Towards automated planning for unsealed source therapy Schreibmann, Eduard Fox, Tim J Appl Clin Med Phys Radiation Oncology Physics The purpose of this study was to develop and validate a technique for unsealed source radiotherapy planning that combines the segmentation and registration tasks of single‐photon emission tomography (SPECT) and computed tomography (CT) datasets. The segmentation task is automated by an atlas registration approach that takes advantage of a hybrid scheme using a diffeomorphic demons algorithm to warp a standard template to the patient's CT. To overcome the lack of common anatomical features between the CT and SPECT datasets, registration is achieved through a narrow band approach that matches liver contours in the CT with the gradients of the SPECT dataset. Deposited dose is then computed from the SPECT dataset using a convolution operation with tracer‐specific deposition kernels. Automatic segmentation showed good agreement with manual contouring, measured using the dice similarity coefficient and ranging from 0.72 to 0.87 for the liver, 0.47 to 0.93 for the kidneys, and 0.74 to 0.83 for the spinal cord. The narrow band registration achieved variations of less 0.5 mm translation and 1° rotation, as measured with convergence analysis. With the proposed combined segmentation–registration technique, the uncertainty of soft‐tissue target localization is greatly reduced, ensuring accurate therapy planning. PACS number: 87.55.de, 87.55.kd John Wiley and Sons Inc. 2012-07-05 /pmc/articles/PMC5716513/ /pubmed/22766948 http://dx.doi.org/10.1120/jacmp.v13i4.3789 Text en © 2012 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Schreibmann, Eduard
Fox, Tim
Towards automated planning for unsealed source therapy
title Towards automated planning for unsealed source therapy
title_full Towards automated planning for unsealed source therapy
title_fullStr Towards automated planning for unsealed source therapy
title_full_unstemmed Towards automated planning for unsealed source therapy
title_short Towards automated planning for unsealed source therapy
title_sort towards automated planning for unsealed source therapy
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716513/
https://www.ncbi.nlm.nih.gov/pubmed/22766948
http://dx.doi.org/10.1120/jacmp.v13i4.3789
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