Impact of image quality on deformable image registration performances in pelvis patients

Fusella, M.; Loi, G.; Fiandra, C.; Lanzi, E.

doi:10.1016/j.ejmp.2016.01.084

Cited by 1 publication

(1 citation statement)

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“…For example, motion artifacts during the image acquisition can result in implausible anatomy (Yamamoto et al 2008 , Persson et al 2010 ) and implants such as prostheses in the imaging area can lead to streaking or voids (Ritter et al 2009 , Fontenele et al 2018 , Lee et al 2021 ). As these artifacts disrupt the true image intensity gradients of the patient tissue several papers have demonstrated decreased intensity-based DIR quality in their presence (Serban et al 2008 , Sonke and Belderbos 2010 , Fusella et al 2016 ) (figure 4 ).…”

Section: Source Of Uncertaintiesmentioning

confidence: 99%

Review and recommendations on deformable image registration uncertainties for radiotherapy applications

Nenoff,

Amstutz,

Murr

et al. 2023

Phys. Med. Biol.

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Deformable image registration (DIR) is a versatile tool used in many applications in radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment planning systems providing accessible and easy-to-use solutions. However, the geometric uncertainty of DIR can be large and difficult to quantify, resulting in barriers to clinical practice. Currently, there is no agreement in the RT community on how to quantify these uncertainties and determine thresholds that distinguish a good DIR result from a poor one. This review summarises the current literature on sources of DIR uncertainties and their impact on RT applications. Recommendations are provided on how to handle these uncertainties for patient-specific use, commissioning, and research. Recommendations are also provided for developers and vendors to help users to understand DIR uncertainties and make the application of DIR in RT safer and more reliable.

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