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Journal ArticleDOI

Online Adaptive Radiation Therapy

TLDR
Various studies have explored how a putative ART solution would improve the current state of the art of radiation therapy-some centers have even clinically implemented online adaptation, and explorations are reviewed here for a variety of sites.
Abstract
The current paradigm of radiation therapy has the treatment planned on a snapshot dataset of the patient's anatomy taken at the time of simulation. Throughout the course of treatment, this snapshot may vary from initial simulation. Although there is the ability to image patients within the treatment room with technologies such as cone beam computed tomography, the current state of the art is largely limited to rigid-body matching and not accounting for any geometric deformations in the patient's anatomy. A plan that was once attuned to the initial simulation can become suboptimal as the treatment progresses unless improved technologies are brought to bear. Adaptive radiation therapy (ART) is an evolving paradigm that seeks to address this deficiency by accounting for ongoing changes in the patient's anatomy and/or physiology during the course of treatment, affording an increasingly more accurate targeting of disease. ART relies on several components working in concert, namely in-room treatment image guidance, deformable image registration, automatic recontouring, plan evaluation and reoptimization, dose calculation, and quality assurance. Various studies have explored how a putative ART solution would improve the current state of the art of radiation therapy-some centers have even clinically implemented online adaptation. These explorations are reviewed here for a variety of sites.

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Citations
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Survey on deep learning for radiotherapy.

TL;DR: The concept of deep learning is explained, addressing it in the broader context of machine learning, and the most common network architectures are presented, with a more specific focus on convolutional neural networks.
Journal ArticleDOI

Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

TL;DR: The current state and anticipated future impact of AI on Radiation Oncology is explored, in detail, focusing on key topics from multiple stakeholder perspectives, as well as the role the specialty may play in helping to shape the future of AI within the larger spectrum of medicine.
Journal ArticleDOI

Three‐dimensional dose prediction for lung IMRT patients with deep neural networks: robust learning from heterogeneous beam configurations

TL;DR: In this paper, the authors proposed an anatomy and beam (AB) model that considers variable beam configurations in addition to patient anatomy to achieve more comprehensive automatic planning with a potentially easier clinical implementation, without the need to train specific models for different beam settings.
Journal ArticleDOI

Magnetic resonance-guided radiation therapy: A review.

TL;DR: MRgRT can potentially transform radiation oncology by improving tumour control and quality of life after radiation therapy and increasing convenience of treatment by shortening treatment courses for patients, according to a review of current implementations, studies, potential benefits and challenges.
References
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Journal ArticleDOI

Deformable Medical Image Registration: A Survey

TL;DR: This paper attempts to give an overview of deformable registration methods, putting emphasis on the most recent advances in the domain, and provides an extensive account of registration techniques in a systematic manner.
Journal ArticleDOI

Flat-panel cone-beam computed tomography for image-guided radiation therapy

TL;DR: A kV cone-beam CT imaging system based on a large-area, flat-panel detector has been successfully adapted to a medical linear accelerator and is capable of producing images of soft tissue with excellent spatial resolution at acceptable imaging doses.
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Artefacts in CBCT: a review

TL;DR: The most prominent artefacts identified in the scientific literature are discussed and the existing knowledge on these artefacts is reviewed to discuss the basic three-dimensional reconstruction concept applied by today's CBCT scanners.
Journal ArticleDOI

The ViewRay System: Magnetic Resonance–Guided and Controlled Radiotherapy

TL;DR: The on-couch adaptive RT treatment-planning system and integrated MRI-guided RT control system allow for rapid adaptive planning and beam delivery control based on the visualization of soft tissues.
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