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 …
MRI-only treatment planning: benefits and challenges
AM Owrangi, PB Greer… - Physics in Medicine & …, 2018 - iopscience.iop.org
Over the past decade, the application of magnetic resonance imaging (MRI) has increased,
and there is growing evidence to suggest that improvements in the accuracy of target …
and there is growing evidence to suggest that improvements in the accuracy of target …
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 …
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 …
Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging
Deriving accurate structural maps for attenuation correction (AC) of whole-body positron
emission tomography (PET) remains challenging. Common problems include truncation …
emission tomography (PET) remains challenging. Common problems include truncation …
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 …
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 …
[HTML][HTML] A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients
Aim To accurately quantify the radioactivity concentration measured by PET, emission data
need to be corrected for photon attenuation; however, the MRI signal cannot easily be …
need to be corrected for photon attenuation; however, the MRI signal cannot easily be …
Optical tomography: forward and inverse problems
SR Arridge, JC Schotland - Inverse problems, 2009 - iopscience.iop.org
This is a review of recent mathematical and computational advances in optical tomography.
We discuss the physical foundations of forward models for light propagation on microscopic …
We discuss the physical foundations of forward models for light propagation on microscopic …
Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: evaluation with PET/CT data
A Martinez-Möller, M Souvatzoglou… - Journal of nuclear …, 2009 - Soc Nuclear Med
Attenuation correction (AC) of whole-body PET data in combined PET/MRI tomographs is
expected to be a technical challenge. In this study, a potential solution based on a …
expected to be a technical challenge. In this study, a potential solution based on a …