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Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
[article]
2021
arXiv
pre-print
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In this work, we focus on optimizing the acquisition and reconstruction process of multi-echo gradient echo pulse sequence for quantitative susceptibility mapping as one important quantitative imaging ...
A multi-echo sampling pattern optimization block extended from LOUPE-ST is proposed to optimize the k-space sampling patterns along echoes. ...
We extend LOUPE-ST [27] to the multi-echo scenario for temporal sampling pattern optimization and propose a novel temporal feature fusion block into a deep ADMM based unrolled reconstruction network ...
arXiv:2103.05878v1
fatcat:paisyy3tzvhwrpibrocpfl34fq
Investigation of in Vivo Human Cardiac Diffusion Tensor Imaging Using Unsupervised Dense Encoder-Fusion-Decoder Network
2020
IEEE Access
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The denseencoder and decoder are trained firstly with DW images acquired at different trigger delays in an unsupervised manner for extracting local and global features. ...
A fusion strategy is then designed to fuse the extracted features. Finally, the well-trained decoder is used to reconstruct the fused DW image from the fused features. ...
By shifting the TDs with an interval of 10 ms for 9 times, 130 multi-phase images (10 time points × 13 images) are obtained for each slice. ...
doi:10.1109/access.2020.3040330
fatcat:szbzk46z7jc3rccudlygpohfea
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
2013
NeuroImage
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A consortium of HCP investigators will study a population of 1200 healthy adults using multiple imaging modalities, along with extensive behavioral and genetic data. ...
These advances result from 2 years of intensive efforts in optimising many aspects of data acquisition and processing during the piloting phase of the project. ...
Acknowledgments We acknowledge support from the Human Connectome Project (1U54MH091657-01), from the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research, plus grants ...
doi:10.1016/j.neuroimage.2013.05.057
pmid:23702418
pmcid:PMC3720790
fatcat:3e3hkqbzdjcmtnx4anwqp3swvi
CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging
[article]
2019
arXiv
pre-print
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We propose a novel motion-compensation method for investigating in vivo myocardium structures in DTI with free-breathing acquisitions. ...
The results on both simulated and acquired in vivo cardiac DW images showed that the proposed WSCNN method effectively compensates for motion-induced signal loss and produces in vivo cardiac DW images ...
To reduce the impact of eddy current artifacts, a single-shot twice-refocused spin-echo echo-planar imaging (EPI) sequence with optimized bipolar diffusion encoding gradients was used. ...
arXiv:1912.07776v1
fatcat:j7i7yl65dfbjvdswfdwyvexwli
Multi-parametric neuroimaging reproducibility: A 3-T resource study
2011
NeuroImage
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Additionally, it establishes a baseline for continuing development and optimization of multi-parametric imaging protocols. ...
These analyses typically exploit carefully optimized protocols for specific imaging targets. ...
Peter C.M. van Zijl is a paid lecturer for Philips Healthcare and has technology licensed to them. ...
doi:10.1016/j.neuroimage.2010.11.047
pmid:21094686
pmcid:PMC3020263
fatcat:t7k6n2dlfvcmhgs56vwed5ao6y
Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI
2018
EBioMedicine
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Methods: A large multi-site functional MRI sample (n = 734, including 357 schizophrenic patients from seven imaging resources) was collected, and a deep discriminant autoencoder network, aimed at learning ...
Advanced deep learning methods may be capable of learning subtle hidden patterns from high dimensional imaging data, overcome potential site-related variation, and achieve reproducible cross-site classification ...
Acknowledgments This work was supported by the National Science Foundation of China (61722313, 61503397, 61420106001, 61773391, and 81571309), the Fok Ying Tung Education Foundation (161057) ...
doi:10.1016/j.ebiom.2018.03.017
pmid:29622496
pmcid:PMC5952341
fatcat:op763xk53jghxk2hreux255gmu
Motion Compensated Magnetic Resonance Reconstruction Using Inverse-Consistent Deformable Registration: Application to Real-Time Cine Imaging
[chapter]
2011
Lecture Notes in Computer Science
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Recent theoretical advances incorporate explicit rigid and non-rigid motion compensation into conventional image reconstruction for multi-shot acquisitions and recover motion-free images by solving a general ...
We further extend this framework for multi-coil motion compensated image reconstruction using the eigen-mode analysis. ...
Authors would like to thank Dr Philip Batchlor (King's College London) for discussion and providing general matrix inversion program. ...
doi:10.1007/978-3-642-23623-5_71
fatcat:s2ygnsrdvzfgfp5faympruwh5y
2020 Index IEEE Transactions on Signal Processing Vol. 68
2020
IEEE Transactions on Signal Processing
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., and Rahmani, M., One-Step Prediction for Discrete Time-Varying Nonlinear Systems With Unknown Inputs and Correlated Noises; TSP ...
., +, TSP 2020 747-763
Sampling and Reconstruction of Bandlimited Signals With Multi-Channel
Time Encoding. ...
., +, TSP 2020 2770-2783
Sampling and Reconstruction of Bandlimited Signals With Multi-Channel
Time Encoding. ...
doi:10.1109/tsp.2021.3055469
fatcat:6uswtuxm5ba6zahdwh5atxhcsy
Magnetic Resonance Imaging of Structure and Coarsening in Three-Dimensional Foams
2001
Proceedings of the 5th Experimental Chaos Conference
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We have developed an MRI technique to optimize the image quality for foams with very low liquid fraction. ...
Volumetric imaging of coarsening foams required a robust imaging method with sufficient spatial and temporal resolution to resolve the small liquid accumulations in the foam's Plateau borders. ...
Our efforts during the visits concentrated on the possibility of using gradient echo techniques for rapid multi-slice image acquisitions. ...
doi:10.1142/9789812811516_0041
fatcat:vuwsnhqpyba5lltonmejmmape4
Two-Stream Deep Fusion Network Based on VAE and CNN for Synthetic Aperture Radar Target Recognition
2021
Remote Sensing
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Following the feature extraction stage, a fusion module is utilized to integrate the latent probabilistic distribution characteristic and the structure characteristic for the reflecting target information ...
Therefore, in this paper, we propose a novel end-to-end two stream fusion network to make full use of the different characteristics obtained from modeling HRRP data and SAR images, respectively, for SAR ...
Several works focusing on image segmentation also use feature level fusion to fuse multi-level features [45] [46] [47] . ...
doi:10.3390/rs13204021
fatcat:lbla7u2dojgqpl7xa7ot6je44i
Enhanced disease characterization through multi network functional normalization in fMRI
2015
Frontiers in Neuroscience
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for multi groups of subjects. ...
Also, these networks exhibit temporal and spatial modulation during cognitive task vs. rest which shows the existence of common spatial excitation patterns between these identified networks. ...
Following parameters were set for acquiring the functional scans trans-axially with gradient-echo EPI: repeat time (TR) = 1.50 s, echo time (TE) = 27 ms, field of view = 24 cm, acquisition matrix = 64 ...
doi:10.3389/fnins.2015.00095
pmid:25873853
pmcid:PMC4379901
fatcat:xiuswqscrfbxnnjbeleppalf5u
Curvelet Transform-based volume fusion for correcting signal loss artifacts in Time-of-Flight Magnetic Resonance Angiography data
2018
Computers in Biology and Medicine
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Experiments show the superiority of the proposed approach in comparison to other multi-resolution 3D Wavelet-based image fusion methodologies. ...
In this work a 3D Curvelet Transform-based image fusion approach is proposed for signal loss artifact reduction of TOF volume data. ...
However, DT-DWT and DT-CWT suffer from blurred edges and features, especially in regions with small features, as is obvious from the difference maps with the ground truth. ...
doi:10.1016/j.compbiomed.2018.06.008
pmid:29929053
pmcid:PMC6077095
fatcat:clr567uwjzff3bn36hltefsdmm
Pattern identification of biomedical images with time series: Contrasting THz pulse imaging with DCE-MRIs
2016
Artificial Intelligence in Medicine
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The approach is also of interest for other emergent multi-channel biomedical imaging modalities and of relevance across the biomedical signal processing community. .au (X.-X. ...
Yin). follows: Section 1 provides an introduction to THz-transient spectrometry as this is the more well-established modality for building THz imaging systems, together with an account of recent advances ...
shows spatial and temporal information fusion with decreased number of dimensions for reduced computation cost. ...
doi:10.1016/j.artmed.2016.01.005
pmid:26951630
fatcat:usz7o4ejqbhbxntbu34zhg32iu
Role of Multiparametric MR Imaging in Malignancies of the Urogenital Tract
2016
Magnetic Resonance Imaging Clinics of North America
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Recently developed 3-D dual-echo Dixon-based acquisitions allow for acquisition of thinner, contiguous slices in a single breath-hold that can then be reconstructed into water, fat, IP, and OP imaging ...
and opposed-phase (OP) images, or chemical shift imaging, of the abdomen are used in the renal mass and MRU protocols for the detection of intravoxel lipids. ...
time-point approach for data analysis. 42
Diffusion-Weighted Imaging The technical parameters for DWI, including method of acquisition (FSE, gradient-echo, line scan, echo-planar imaging [EPI] , and ...
doi:10.1016/j.mric.2015.08.009
pmid:26613881
pmcid:PMC6247808
fatcat:ah7ksntftrf5zkljyesajdhsga
The cortical wiring scheme of hierarchical information processing
[article]
2020
bioRxiv
pre-print
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Principal dimensions of this manifold recapitulated established sensory-limbic and anterior-posterior gradients of brain organisation, and were found to reflect neural and glial gradients of cytoarchitectural ...
These results advance our understanding of how cell-specific neurobiological gradients produce a hierarchical cortical wiring scheme that is concordant with increasing functional sophistication of human ...
Matthias Kirschner for his helpful insight on the manuscript, and the MRI and EEG technicians at the Montreal Neurological Institute. ...
doi:10.1101/2020.01.08.899583
fatcat:ytkw3asdcbhu7c2o5jyxfy67t4
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