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Phys Med. 2017 Dec;44:108-112. doi: 10.1016/j.ejmp.2017.09.121. Epub 2017 Sep 25.

Deformable image registration applied to lung SBRT: Usefulness and limitations.

Author information

1
Univ Lyon, INSA-Lyon, Université Lyon 1, CNRS, Inserm, Centre Léon Bérard, CREATIS UMR 5220, U1206, F-69373 Lyon, France; Univ Lyon, Centre Léon Bérard, F-69373 Lyon, France. Electronic address: david.sarrut@creatis.insa-lyon.fr.
2
Univ Lyon, INSA-Lyon, Université Lyon 1, CNRS, Inserm, Centre Léon Bérard, CREATIS UMR 5220, U1206, F-69373 Lyon, France; Univ Lyon, Centre Léon Bérard, F-69373 Lyon, France.
3
Univ Lyon, Centre Léon Bérard, F-69373 Lyon, France.
4
Univ Lyon, INSA-Lyon, Université Lyon 1, CNRS, Inserm, Centre Léon Bérard, CREATIS UMR 5220, U1206, F-69373 Lyon, France.

Abstract

Radiation therapy (RT) of the lung requires deformation analysis. Deformable image registration (DIR) is the fundamental method to quantify deformations for various applications: motion compensation, contour propagation, dose accumulation, etc. DIR is therefore unavoidable in lung RT. DIR algorithms have been studied for decades and are now available both within commercial and academic packages. However, they are complex and have limitations that every user must be aware of before clinical implementation. In this paper, the main applications of DIR for lung RT with their associated uncertainties and their limitations are reviewed.

KEYWORDS:

Deformable image registration; Lung SBRT

PMID:
28947188
DOI:
10.1016/j.ejmp.2017.09.121
[Indexed for MEDLINE]
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