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Shortening image registration time using a deep neural network for patient positional verification i...

Shortening image registration time using a deep neural network for patient positional verification i...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2899249847

Shortening image registration time using a deep neural network for patient positional verification in radiotherapy

About this item

Full title

Shortening image registration time using a deep neural network for patient positional verification in radiotherapy

Publisher

Dordrecht: Springer Nature B.V

Journal title

Australasian physical & engineering sciences in medicine, 2023-12, Vol.46 (4), p.1563-1572

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Nature B.V

More information

Scope and Contents

Contents

We sought to accelerate 2D/3D image registration computation time using image synthesis with a deep neural network (DNN) to generate digitally reconstructed radiographic (DRR) images from X-ray flat panel detector (FPD) images. And we explored the feasibility of using our DNN in the patient setup verification application. Images of the prostate and...

Alternative Titles

Full title

Shortening image registration time using a deep neural network for patient positional verification in radiotherapy

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2899249847

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2899249847

Other Identifiers

ISSN

0158-9938

E-ISSN

1879-5447

DOI

10.1007/s13246-023-01320-w

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