Modeling the respiratory motion of solitary pulmonary nodules and determining the impact of respiratory motion on their detection in SPECT imaging.

Smyczynski, Mark S; Gifford, Howard C; Lehovich, Andre; McNamara, Joseph E; Segars, W Paul; Hoffman, Eric A; Tsui, Benjamin M W; King, Michael A

Smyczynski, Mark S; Gifford, Howard C; Lehovich, Andre; McNamara, Joseph E; Segars, W Paul; Hoffman, Eric A; Tsui, Benjamin M W; King, Michael A.

Afiliación

Smyczynski MS; Department of Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655.
Gifford HC; Biomedical Engineering Dept., University of Houston, Houston, TX.
Lehovich A; Department of Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655.
McNamara JE; Signature Science LLC, Egg Harbor Township, NJ.
Segars WP; Duke Advanced Imaging Laboratories, Duke University Medical Center, Durham, NC.
Hoffman EA; Department of Radiology, University of Iowa, Iowa City, IA.
Tsui BM; Department of Radiology, Johns Hopkins University, Baltimore, MD.
King MA; Department of Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655 (telephone: 508-856-4255, michael.king@umassmed.edu ).

IEEE Trans Nucl Sci ; 63(1): 117-129, 2016 Feb.

Article en En | MEDLINE | ID: mdl-27182079

Palabras clave

SPECT data quantification and correction methods; image generation; image quality assessment; simulation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: IEEE Trans Nucl Sci Año: 2016 Tipo del documento: Article Pais de publicación: Estados Unidos

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