Modeling respiratory motion for cancer radiation therapy based on patient-specific 4DCT data.

Eom, Jaesung; Shi, Chengyu; Xu, Xie George; De, Suvranu

Eom, Jaesung; Shi, Chengyu; Xu, Xie George; De, Suvranu.

Affiliation

Eom J; Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. eomj@rpi.edu

Med Image Comput Comput Assist Interv ; 12(Pt 2): 348-55, 2009.

Article in En | MEDLINE | ID: mdl-20426131

Subject(s)

Imaging, Three-Dimensional/methods; Lung Neoplasms/diagnostic imaging; Lung Neoplasms/physiopathology; Models, Biological; Radiotherapy, Computer-Assisted/methods; Respiratory Mechanics; Respiratory-Gated Imaging Techniques/methods; Tomography, X-Ray Computed/methods; Computer Simulation; Humans; Lung Neoplasms/radiotherapy; Movement; Radiographic Image Interpretation, Computer-Assisted/methods; Reproducibility of Results; Sensitivity and Specificity

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Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy, Computer-Assisted / Tomography, X-Ray Computed / Respiratory Mechanics / Imaging, Three-Dimensional / Respiratory-Gated Imaging Techniques / Lung Neoplasms / Models, Biological Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Med Image Comput Comput Assist Interv Journal subject: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Year: 2009 Document type: Article Affiliation country: United States Country of publication: Germany

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