An iterative technique to segment PET lesions using a Monte Carlo based mathematical model.

Nehmeh, S A; El-Zeftawy, H; Greco, C; Schwartz, J; Erdi, Y E; Kirov, A; Schmidtlein, C R; Gyau, A B; Larson, S M; Humm, J L

Nehmeh, S A; El-Zeftawy, H; Greco, C; Schwartz, J; Erdi, Y E; Kirov, A; Schmidtlein, C R; Gyau, A B; Larson, S M; Humm, J L.

Affiliation

Nehmeh SA; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA. nehmehs@mskcc.org

Med Phys ; 36(10): 4803-9, 2009 Oct.

Article in En | MEDLINE | ID: mdl-19928110

Subject(s)

Algorithms; Image Interpretation, Computer-Assisted/methods; Neoplasms/diagnostic imaging; Pattern Recognition, Automated/methods; Positron-Emission Tomography/methods; Software; Artificial Intelligence; Computer Simulation; Data Interpretation, Statistical; Humans; Image Enhancement/methods; Models, Biological; Models, Statistical; Monte Carlo Method; Phantoms, Imaging; Positron-Emission Tomography/instrumentation; Reproducibility of Results; Sensitivity and Specificity

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Collection: 01-internacional Health context: 1_ASSA2030 Database: MEDLINE Main subject: Algorithms / Software / Pattern Recognition, Automated / Image Interpretation, Computer-Assisted / Positron-Emission Tomography / Neoplasms Type of study: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Med Phys Year: 2009 Document type: Article

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