A Feature-based Affine Registration Method for Capturing Background Lung Tissue Deformation for Ground Glass Nodule Tracking.

Ben-Zikri, Yehuda K; Helguera, María; Fetzer, David; Shrier, David A; Aylward, Stephen R; Chittajallu, Deepak; Niethammer, Marc; Cahill, Nathan D; Linte, Cristian A

Ben-Zikri, Yehuda K; Helguera, María; Fetzer, David; Shrier, David A; Aylward, Stephen R; Chittajallu, Deepak; Niethammer, Marc; Cahill, Nathan D; Linte, Cristian A.

Afiliação

Ben-Zikri YK; Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA.
Helguera M; Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA.
Fetzer D; Instituto Tecnológico José Mario Molina Pasquel y Henríquez, UnidadLagosdeM oreno, Jalisco, Mexico.
Shrier DA; Dept. of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Aylward SR; Dept. of Radiology, University of Rochester Medical Center, Rochester, NY, USA.
Chittajallu D; Medical Computing, Kitware, Inc., Carrboro, NC, USA.
Niethammer M; Medical Computing, Kitware, Inc., Carrboro, NC, USA.
Cahill ND; Dept. of Computer Science, University of North Carolina, Chapel Hill, NC, USA.
Linte CA; School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY, USA.

Comput Methods Biomech Biomed Eng Imaging Vis ; 10(5): 521-539, 2022.

Article em En | MEDLINE | ID: mdl-36465979

Palavras-chave

background lung tissue deformation; intensity- and feature-based affine registration; lung CT imaging; non-rigid registration; pulmonary nodule tracking; target registration error

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Comput Methods Biomech Biomed Eng Imaging Vis Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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