Simultaneously optimizing sampling pattern for joint acceleration of multi-contrast MRI using model-based deep learning.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15790
Abstract: BACKGROUND Acceleration of MRI is a popular research area, and usage of deep learning for acceleration has become highly widespread in the MR community. Joint acceleration of multiple acquisition MRI was proven to be effective… read more here.
Keywords: sampling pattern; contrast; acceleration; multi contrast ... See more keywords
Multi-contrast and three-dimensional assessment of the aortic wall using 3T MRI.
Sign Up to like & getrecommendations! Published in 2017 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2017.04.011
Abstract: OBJECTIVES To develop a 3D-multi-contrast MRI protocol allowing for high resolution imaging of the wall and of atheroma in the thoracic aorta. METHODS Eleven healthy volunteers and eleven acute stroke patients with aortic plaques detected… read more here.
Keywords: wall; multi contrast; image quality; contrast ... See more keywords
Fat-saturated image generation from multi-contrast MRIs using generative adversarial networks with Bloch equation-based autoencoder regularization
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.102198
Abstract: Obtaining multiple series of magnetic resonance (MR) images with different contrasts is useful for accurate diagnosis of human spinal conditions. However, this can be time consuming and a burden on both the patient and the… read more here.
Keywords: image; multi contrast; equation; bloch equation ... See more keywords
Strategically acquired gradient echo (STAGE) imaging, part III: Technical advances and clinical applications of a rapid multi-contrast multi-parametric brain imaging method.
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2019.09.006
Abstract: One major thrust in radiology today is image standardization with a focus on rapidly acquired quantitative multi-contrast information. This is critical for multi-center trials, for the collection of big data and for the use of… read more here.
Keywords: contrast; gradient echo; multi contrast; stage imaging ... See more keywords
Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI
Sign Up to like & getrecommendations! Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.116798
Abstract: The volumetric and morphometric examination of hippocampus formation subfields in a longitudinal manner using in vivo MRI could lead to more sensitive biomarkers for neuropsychiatric disorders and diseases including Alzheimer's disease, as the anatomical subregions… read more here.
Keywords: subfields lashis; segmentation; multi contrast; automatic segmentation ... See more keywords
An Effective Co-Support Guided Analysis Model for Multi-Contrast MRI Reconstruction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2023.3244669
Abstract: Multi-contrast magnetic resonance imaging (MRI) is widely used in clinical diagnosis. However, it is time-consuming to obtain MR data of multi-contrasts and the long scanning time may bring unexpected physiological motion artifacts. To obtain MR… read more here.
Keywords: contrast; multi contrast; support; model ... See more keywords
Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2901750
Abstract: Acquiring images of the same anatomy with multiple different contrasts increases the diversity of diagnostic information available in an MR exam. Yet, the scan time limitations may prohibit the acquisition of certain contrasts, and some… read more here.
Keywords: multi contrast; conditional generative; contrast mri; synthesis ... See more keywords
Longitudinal Prediction of Infant MR Images With Multi-Contrast Perceptual Adversarial Learning
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.653213
Abstract: The infant brain undergoes a remarkable period of neural development that is crucial for the development of cognitive and behavioral capacities (Hasegawa et al., 2018). Longitudinal magnetic resonance imaging (MRI) is able to characterize the… read more here.
Keywords: image; multi contrast; contrast perceptual; adversarial learning ... See more keywords
Multi-contrast anatomical subcortical structures parcellation
Sign Up to like & getrecommendations! Published in 2020 at "eLife"
DOI: 10.7554/elife.59430
Abstract: The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due to their small size and close proximity, up until now only 7% have been depicted in standard… read more here.
Keywords: multi contrast; subcortical structures; mri; contrast anatomical ... See more keywords
Virtual mouse brain histology from multi-contrast MRI via deep learning
Sign Up to like & getrecommendations! Published in 2022 at "eLife"
DOI: 10.7554/elife.72331
Abstract: 1H MRI maps brain structure and function non-invasively through versatile contrasts that exploit inhomogeneity in tissue micro-environments. Inferring histopathological information from magnetic resonance imaging (MRI) findings, however, remains challenging due to absence of direct links… read more here.
Keywords: multi contrast; mri; histology; contrast mri ... See more keywords