[HTML][HTML] Deep learning based synthesis of MRI, CT and PET: Review and analysis

S Dayarathna, KT Islam, S Uribe, G Yang, M Hayat… - Medical Image …, 2023 - Elsevier
Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …

Artificial general intelligence for radiation oncology

C Liu, Z Liu, J Holmes, L Zhang, L Zhang, Y Ding… - Meta-radiology, 2023 - Elsevier
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …

Image-guided proton therapy: A comprehensive review

SA Lane, JM Slater, GY Yang - Cancers, 2023 - mdpi.com
Simple Summary In proton therapy, there is a sharp peak in the delivered dose followed by a
rapid falloff, known as the Bragg peak, which is not present in photons. This allows for …

ICRU REPORT 97: MRI-guided radiation therapy using MRI-linear accelerators

PJ Keall, CK Glide-Hurst, M Cao, P Lee… - Journal of the …, 2022 - journals.sagepub.com
The International Commission on Radiation Units and Measurements (ICRU), since its
inception in 1925, has had as its principal objective the development of internationally …

Generating high-resolution synthetic CT from lung MRI with ultrashort echo times: initial evaluation in cystic fibrosis

A Longuefosse, J Raoult, I Benlala… - Radiology, 2023 - pubs.rsna.org
Background Lung MRI with ultrashort echo times (UTEs) enables high-resolution and
radiation-free morphologic imaging; however, its image quality is still lower than that of CT …

Machine learning for medical image translation: A systematic review

J McNaughton, J Fernandez, S Holdsworth, B Chong… - Bioengineering, 2023 - mdpi.com
Background: CT scans are often the first and only form of brain imaging that is performed to
inform treatment plans for neurological patients due to its time-and cost-effective nature …

[HTML][HTML] Synthetic computed tomography for low-field magnetic resonance-guided radiotherapy in the abdomen

M Lapaeva, ALG Saint-Esteven, P Wallimann… - Physics and imaging in …, 2022 - Elsevier
Background and purpose The requirement of computed tomography (CT) for radiotherapy
planning may be bypassed by synthetic CT (sCT) generated from magnetic resonance (MR) …

Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac

S Shan, Y Gao, PZY Liu, B Whelan… - Magnetic resonance …, 2023 - Wiley Online Library
Purpose MRI is increasingly utilized for image‐guided radiotherapy due to its outstanding
soft‐tissue contrast and lack of ionizing radiation. However, geometric distortions caused by …

[HTML][HTML] Patient-specific quality assurance strategies for synthetic computed tomography in magnetic resonance-only radiotherapy of the abdomen

R Dal Bello, M Lapaeva, ALG Saint-Esteven… - Physics and imaging in …, 2023 - Elsevier
Background and purpose The superior tissue contrast of magnetic resonance (MR)
compared to computed tomography (CT) led to an increasing interest towards MR-only …

Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical …

L Boldrini, A D'Aviero, F De Felice, I Desideri… - La radiologia …, 2024 - Springer
Introduction The advent of image-guided radiation therapy (IGRT) has recently changed the
workflow of radiation treatments by ensuring highly collimated treatments. Artificial …