Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging
Quantitative cardiovascular magnetic resonance (CMR) imaging can be used to
characterize fibrosis, oedema, ischaemia, inflammation and other disease conditions …
characterize fibrosis, oedema, ischaemia, inflammation and other disease conditions …
Image reconstruction: From sparsity to data-adaptive methods and machine learning
The field of medical image reconstruction has seen roughly four types of methods. The first
type tended to be analytical methods, such as filtered backprojection (FBP) for X-ray …
type tended to be analytical methods, such as filtered backprojection (FBP) for X-ray …
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution
This paper proposes a multi-channel image reconstruction method, named
DeepcomplexMRI, to accelerate parallel MR imaging with residual complex convolutional …
DeepcomplexMRI, to accelerate parallel MR imaging with residual complex convolutional …
Multimodal transformer for accelerated MR imaging
Accelerated multi-modal magnetic resonance (MR) imaging is a new and effective solution
for fast MR imaging, providing superior performance in restoring the target modality from its …
for fast MR imaging, providing superior performance in restoring the target modality from its …
MRI-guided robot intervention—current state-of-the-art and new challenges
Abstract Magnetic Resonance Imaging (MRI) is now a widely used modality for providing
multimodal, high-quality soft tissue contrast images with good spatiotemporal resolution but …
multimodal, high-quality soft tissue contrast images with good spatiotemporal resolution but …
High-dimensional mr spatiospectral imaging by integrating physics-based modeling and data-driven machine learning: Current progress and future directions
Magnetic resonance spectroscopic imaging (MRSI) offers a unique molecular window into
the physiological and pathological processes in the human body. However, the applications …
the physiological and pathological processes in the human body. However, the applications …
Free‐breathing, non‐ECG, continuous myocardial T1 mapping with cardiovascular magnetic resonance multitasking
Purpose To evaluate the accuracy and repeatability of a free‐breathing, non‐
electrocardiogram (ECG), continuous myocardial T1 and extracellular volume (ECV) …
electrocardiogram (ECG), continuous myocardial T1 and extracellular volume (ECV) …
Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI
Parallel magnetic resonance imaging has served as an effective and widely adopted
technique for accelerating data collection. The advent of sparse sampling offers aggressive …
technique for accelerating data collection. The advent of sparse sampling offers aggressive …
Highly undersampled magnetic resonance imaging reconstruction using autoencoding priors
Purpose Although recent deep learning methodologies have shown promising results in fast
MR imaging, how to explore it to learn an explicit prior and leverage it into the observation …
MR imaging, how to explore it to learn an explicit prior and leverage it into the observation …
Learning data consistency and its application to dynamic MR imaging
Magnetic resonance (MR) image reconstruction from undersampled k-space data can be
formulated as a minimization problem involving data consistency and image prior. Existing …
formulated as a minimization problem involving data consistency and image prior. Existing …