Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
Multimodal fusion in neuroimaging combines data from multiple imaging modalities to
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …
[HTML][HTML] A review of substitute CT generation for MRI-only radiation therapy
Radiotherapy based on magnetic resonance imaging as the sole modality (MRI-only RT) is
an area of growing scientific interest due to the increasing use of MRI for both target and …
an area of growing scientific interest due to the increasing use of MRI for both target and …
Medical image synthesis with deep convolutional adversarial networks
Medical imaging plays a critical role in various clinical applications. However, due to
multiple considerations such as cost and radiation dose, the acquisition of certain image …
multiple considerations such as cost and radiation dose, the acquisition of certain image …
Medical image synthesis with context-aware generative adversarial networks
Computed tomography (CT) is critical for various clinical applications, eg, radiation treatment
planning and also PET attenuation correction in MRI/PET scanner. However, CT exposes …
planning and also PET attenuation correction in MRI/PET scanner. However, CT exposes …
MR‐based synthetic CT generation using a deep convolutional neural network method
X Han - Medical physics, 2017 - Wiley Online Library
Purpose Interests have been rapidly growing in the field of radiotherapy to replace CT with
magnetic resonance imaging (MRI), due to superior soft tissue contrast offered by MRI and …
magnetic resonance imaging (MRI), due to superior soft tissue contrast offered by MRI and …
Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies
Attenuation correction is an essential requirement for quantification of positron emission
tomography (PET) data. In PET/CT acquisition systems, attenuation maps are derived from …
tomography (PET) data. In PET/CT acquisition systems, attenuation maps are derived from …
Synthetic CT generation from non-attenuation corrected PET images for whole-body PET imaging
Attenuation correction (AC) of PET/MRI faces challenges including inter-scan motion, image
artifacts such as truncation and distortion, and erroneous transformation of structural voxel …
artifacts such as truncation and distortion, and erroneous transformation of structural voxel …
[HTML][HTML] PET-MRI: a review of challenges and solutions in the development of integrated multimodality imaging
S Vandenberghe, PK Marsden - Physics in Medicine & Biology, 2015 - iopscience.iop.org
The integration of positron emission tomography (PET) and magnetic resonance imaging
(MRI) has been an ongoing research topic for the last 20 years. This paper gives an …
(MRI) has been an ongoing research topic for the last 20 years. This paper gives an …
A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI
A Bahrami, A Karimian, E Fatemizadeh… - Medical …, 2020 - Wiley Online Library
Purpose Despite the proven utility of multiparametric magnetic resonance imaging (MRI) in
radiation therapy, MRI‐guided radiation treatment planning is limited by the fact that MRI …
radiation therapy, MRI‐guided radiation treatment planning is limited by the fact that MRI …
Estimating CT image from MRI data using structured random forest and auto-context model
Computed tomography (CT) imaging is an essential tool in various clinical diagnoses and
radiotherapy treatment planning. Since CT image intensities are directly related to positron …
radiotherapy treatment planning. Since CT image intensities are directly related to positron …