Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images—Application in Brain Proton Therapy-Reference-Cited by-同舟云学术

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Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images—Application in Brain Proton Therapy

Published:2019-11 Issue:3 Volume:105 Page:495-503
ISSN:0360-3016
Container-title:International Journal of Radiation Oncology*Biology*Physics
language:en
Short-container-title:International Journal of Radiation Oncology*Biology*Physics

Author:

Spadea Maria Francesca,Pileggi Giampaolo,Zaffino Paolo,Salome Patrick,Catana Ciprian,Izquierdo-Garcia David,Amato Francesco,Seco Joao

Funder

DKFZ

Publisher

Elsevier BV

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology,Radiation

Reference37 articles.

1. The future of image-guided radiotherapy will be MR guided;Pollard;Br J Radiol,2017

2. Magnetic resonance image guidance in external beam radiation therapy planning and delivery;Arivarasan;Jpn J Radiol,2017

3. A review of substitute CT generation for MRI-only radiation therapy;Edmund;Radiat Oncol,2017

4. Systematic review of synthetic computed tomography generation methodologies for use in magnetic resonance imaging-only radiation therapy;Johnstone;Int J Radiat Oncol Biol Phys,2018

5. MRI-only treatment planning: Benefits and challenges;Owrangi;Phys Med Biol,2018

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