Efficient Evaluation of Low-contrast Detectability of Deep-CNN-based CT Reconstruction Using Channelized Hotelling Observer on the ACR Accreditation Phantom.

Fan, Mingdong; Zhou, Zhongxing; Vrieze, Thomas; Wang, Jia; McCollough, Cynthia; Yu, Lifeng

Fan, Mingdong; Zhou, Zhongxing; Vrieze, Thomas; Wang, Jia; McCollough, Cynthia; Yu, Lifeng.

Afiliación

Fan M; Department of Radiology, Mayo Clinic, Rochester, MN, 55901, USA.
Zhou Z; Department of Radiology, Mayo Clinic, Rochester, MN, 55901, USA.
Vrieze T; Department of Radiology, Mayo Clinic, Rochester, MN, 55901, USA.
Wang J; Stanford University, Stanford, CA, 94305, USA.
McCollough C; Department of Radiology, Mayo Clinic, Rochester, MN, 55901, USA.
Yu L; Department of Radiology, Mayo Clinic, Rochester, MN, 55901, USA.

Proc SPIE Int Soc Opt Eng ; 120312022.

Article en En | MEDLINE | ID: mdl-35813246

Palabras clave

Image quality assessment; channelized Hotelling observer (CHO); protocol optimization; radiation dose reduction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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