Deep learning in medical imaging and radiation therapy
The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies
N Aide, C Lasnon, P Veit-Haibach, T Sera… - European journal of …, 2017 - Springer
Quantitative positron emission tomography/computed tomography (PET/CT) can be used as
diagnostic or prognostic tools (ie single measurement) or for therapy monitoring (ie …
diagnostic or prognostic tools (ie single measurement) or for therapy monitoring (ie …
Magnetic resonance imaging versus computed tomography for Three‐Dimensional bone imaging of musculoskeletal pathologies: a review
MC Florkow, K Willemsen… - Journal of Magnetic …, 2022 - Wiley Online Library
Magnetic resonance imaging (MRI) is increasingly utilized as a radiation‐free alternative to
computed tomography (CT) for the diagnosis and treatment planning of musculoskeletal …
computed tomography (CT) for the diagnosis and treatment planning of musculoskeletal …
A review of deep-learning-based approaches for attenuation correction in positron emission tomography
JS Lee - IEEE Transactions on Radiation and Plasma Medical …, 2020 - ieeexplore.ieee.org
Attenuation correction (AC) is essential for the generation of artifact-free and quantitatively
accurate positron emission tomography (PET) images. PET AC based on computed …
accurate positron emission tomography (PET) images. PET AC based on computed …
Deep learning–based MR‐to‐CT synthesis: the influence of varying gradient echo–based MR images as input channels
MC Florkow, F Zijlstra, K Willemsen… - Magnetic resonance …, 2020 - Wiley Online Library
Purpose To study the influence of gradient echo–based contrasts as input channels to a 3D
patch‐based neural network trained for synthetic CT (sCT) generation in canine and human …
patch‐based neural network trained for synthetic CT (sCT) generation in canine and human …
MR-only brain radiation therapy: dosimetric evaluation of synthetic CTs generated by a dilated convolutional neural network
AM Dinkla, JM Wolterink, M Maspero… - International Journal of …, 2018 - Elsevier
Purpose This work aims to facilitate a fast magnetic resonance (MR)-only workflow for
radiation therapy of intracranial tumors. Here, we evaluate whether synthetic computed …
radiation therapy of intracranial tumors. Here, we evaluate whether synthetic computed …
Technical developments: zero echo time imaging of the shoulder: enhanced osseous detail by using MR imaging
RE Breighner, Y Endo, GP Konin, LV Gulotta, MF Koff… - Radiology, 2018 - pubs.rsna.org
Purpose To determine the intermodality agreement of morphologic grading and clinically
relevant quantitative measurements between computed tomography (CT) and zero echo …
relevant quantitative measurements between computed tomography (CT) and zero echo …
Vision 20/20: magnetic resonance imaging‐guided attenuation correction in PET/MRI: challenges, solutions, and opportunities
Attenuation correction is an essential component of the long chain of data correction
techniques required to achieve the full potential of quantitative positron emission …
techniques required to achieve the full potential of quantitative positron emission …
Clinical evaluation of zero-echo-time attenuation correction for brain 18F-FDG PET/MRI: comparison with atlas attenuation correction
Accurate attenuation correction (AC) on PET/MR is still challenging. The purpose of this
study was to evaluate the clinical feasibility of AC based on fast zero-echo-time (ZTE) MRI by …
study was to evaluate the clinical feasibility of AC based on fast zero-echo-time (ZTE) MRI by …
International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology
P Veit-Haibach, H Ahlström, R Boellaard… - European journal of …, 2023 - Springer
Abstract Preamble The Society of Nuclear Medicine and Molecular Imaging (SNMMI) is an
international scientific and professional organization founded in 1954 to promote the …
international scientific and professional organization founded in 1954 to promote the …