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Organ Contouring for Lung Cancer Patients with a Seed Generation Scheme and Random Walks.
Cheng, Da-Chuan; Chi, Jen-Hong; Yang, Shih-Neng; Liu, Shing-Hong.
Afiliação
  • Cheng DC; Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung City 40402, Taiwan.
  • Chi JH; Department of Diagnostic Radiology, Singapore General Hospital, Singapore 169608, Singapore.
  • Yang SN; Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung City 40402, Taiwan.
  • Liu SH; Department of Radiation Oncology, China Medical University Hospital, Taichung City 40447, Taiwan.
Sensors (Basel) ; 20(17)2020 Aug 26.
Article em En | MEDLINE | ID: mdl-32858982
In this study, we proposed a semi-automated and interactive scheme for organ contouring in radiotherapy planning for patients with non-small cell lung cancers. Several organs were contoured, including the lungs, airway, heart, spinal cord, body, and gross tumor volume (GTV). We proposed some schemes to automatically generate and vanish the seeds of the random walks (RW) algorithm. We considered 25 lung cancer patients, whose computed tomography (CT) images were obtained from the China Medical University Hospital (CMUH) in Taichung, Taiwan. The manual contours made by clinical oncologists were taken as the gold standard for comparison to evaluate the performance of our proposed method. The Dice coefficient between two contours of the same organ was computed to evaluate the similarity. The average Dice coefficients for the lungs, airway, heart, spinal cord, and body and GTV segmentation were 0.92, 0.84, 0.83, 0.73, 0.85 and 0.66, respectively. The computation time was between 2 to 4 min for a whole CT sequence segmentation. The results showed that our method has the potential to assist oncologists in the process of radiotherapy treatment in the CMUH, and hopefully in other hospitals as well, by saving a tremendous amount of time in contouring.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Clinical_trials / Guideline Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Clinical_trials / Guideline Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Taiwan