Deformable image registration in radiation therapy
Radiation Oncology Journal
;
: 101-111, 2017.
Artigo
em Inglês
| WPRIM
| ID: wpr-44443
ABSTRACT
The number of imaging data sets has significantly increased during radiation treatment after introducing a diverse range of advanced techniques into the field of radiation oncology. As a consequence, there have been many studies proposing meaningful applications of imaging data set use. These applications commonly require a method to align the data sets at a reference. Deformable image registration (DIR) is a process which satisfies this requirement by locally registering image data sets into a reference image set. DIR identifies the spatial correspondence in order to minimize the differences between two or among multiple sets of images. This article describes clinical applications, validation, and algorithms of DIR techniques. Applications of DIR in radiation treatment include dose accumulation, mathematical modeling, automatic segmentation, and functional imaging. Validation methods discussed are based on anatomical landmarks, physical phantoms, digital phantoms, and per application purpose. DIR algorithms are also briefly reviewed with respect to two algorithmic components similarity index and deformation models.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Radioterapia (Especialidade)
/
Conjunto de Dados
/
Métodos
/
Modelos Teóricos
Idioma:
Inglês
Revista:
Radiation Oncology Journal
Ano de publicação:
2017
Tipo de documento:
Artigo
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