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Recent Advances in Acquisition/Reconstruction Algorithms for Undersampled Magnetic Resonance Imaging

Giuseppe Placidi
2014 Journal of Biomedical Engineering and Medical Imaging  
Several applications of Magnetic Resonance Imaging (MRI), in particular dynamic MRI and functional MRI (fMRI), require rapid acquisition to measure dynamic processes changes.  ...  In what follows, a review of methods for sparse sampling acquisition and reconstruction is presented.  ...  As will be clarified later, each of these cases requires a specific restoration algorithm, but all the methods afford the same problem: to reconstruct an image, suppose a 2D image , f t t , starting from  ... 
doi:10.14738/jbemi.15.499 fatcat:3zbqxddffrckffbcemlkxy4yj4

Non-Iterative Regularized reconstruction Algorithm for Non-CartesiAn MRI: NIRVANA

Satyananda Kashyap, Zhili Yang, Mathews Jacob
2011 Magnetic Resonance Imaging  
We introduce a novel non-iterative algorithm for the fast and accurate reconstruction of non-uniformly sampled MRI data.  ...  The proposed scheme derives the reconstructed image as the non-uniform inverse Fourier transform of a compensated dataset.  ...  For example, a typical functional MRI dataset has around 1000 images. The reconstruction of each of these images using CG will require several hours.  ... 
doi:10.1016/j.mri.2010.08.017 pmid:21144688 fatcat:32ojzmu7lbaqdhreq73bijejq4

Statistical reconstruction algorithms for continuous wave electron spin resonance imaging

Imry Kissos, Michael Levit, Arie Feuer, Aharon Blank
2013 Journal of magnetic resonance (San Diego, Calif. 1997 : Print)  
Our new algorithm accounts for unique ESRI aspects such as field modulation, spectral-spatial imaging, and possible limitation on the gradient magnitude (the so-called "limited angle" problem).  ...  The objective of this work is to develop an image reconstruction scheme for continuous wave (CW) ESRI that would make it possible to reduce the data acquisition time without degrading the reconstruction  ...  Acknowledgments I.K. would like to thank the Technion's Signal & Image Processing Lab for their generous technical support; without their powerful servers, work on this paper would have been delayed considerably  ... 
doi:10.1016/j.jmr.2013.04.003 pmid:23644350 fatcat:jvlgrrbuvfg25jppwh6bav2j2m

Two motion-detection algorithms for projection–reconstruction magnetic resonance imaging: theory and experimental verification

R. Van de Walle, I. Lemahieu, E. Achten
1998 Computerized Medical Imaging and Graphics  
In this paper, projection-reconstruction (PR) magnetic resonance (MR) imaging is considered, We present two new quantitative techniques that allow to check when motion was present during a PP~ MR experiment  ...  The authors would like to thank the entire scientific and technical staff of this department for their support.  ...  Van de Wile is supported by a PhD grant from the Flemish Institute for the Promotion of Scientific-Technological Research in the Industry (IWT, Brussels, Belgium).  ... 
doi:10.1016/s0895-6111(98)00013-5 pmid:9719852 fatcat:pqhy2b3jrzccvohqrf4spa5b2a

Two motion-detection algorithms for projection-reconstruction magnetic resonance imaging: Theory and experimental verification [chapter]

Rik Van de Walle, Ignace Lemahieu, Eric Achten
1997 Lecture Notes in Computer Science  
In this paper, projection-reconstruction (PR) magnetic resonance (MR) imaging is considered, We present two new quantitative techniques that allow to check when motion was present during a PP~ MR experiment  ...  The authors would like to thank the entire scientific and technical staff of this department for their support.  ...  Van de Wile is supported by a PhD grant from the Flemish Institute for the Promotion of Scientific-Technological Research in the Industry (IWT, Brussels, Belgium).  ... 
doi:10.1007/3-540-63508-4_184 fatcat:fxqeeqxx7bcwpiha5crr2bizdu

An Adaptive Directional Haar Framelet-Based Reconstruction Algorithm for Parallel Magnetic Resonance Imaging

Yan-Ran Li, Raymond H. Chan, Lixin Shen, Yung-Chin Hsu, Wen-Yih Isaac Tseng
2016 SIAM Journal of Imaging Sciences  
Parallel magnetic resonance imaging (pMRI) is a technique to accelerate the magnetic resonance imaging process. The problem of reconstructing an image from the collected pMRI data is ill-posed.  ...  Numerical experiments for in-silico and in-vivo data sets are provided to demonstrate the superiority of the DHF-based model and the efficiency of our proposed algorithm for pMRI reconstruction. 1 MRI  ...  We proposed a pMRI reconstructed model in real domain whose regularization term was formed from the DHF. The reconstruction model can be efficiently solved by a proximal algorithm.  ... 
doi:10.1137/15m1033964 fatcat:mwzurcvxxrft3bud5gqq76pbxu

Diagnostic Value of Magnetic Resonance Image Feature Analysis under Reconstruction Algorithm for Knee Epiphyseal Injury

Ning He, Changyou Tang, Xianchao Zhou, Shuolin Feng, M Pallikonda Rajasekaran
2022 Scientific Programming  
To analyze the diagnostic value of magnetic resonance imaging (MRI) in epiphyseal injury of adolescent children, MRI images of 26 adolescent knee joint injuries were selected.  ...  The image display before and after reconstruction based on the compressed sensing theory (CS) algorithm was compared and analyzed, so did the signal-to-noise ratio of knee MRI reconstructed images under  ...  Magnetic resonance imaging can also show concurrent injuries caused by cartilage injury, such as knee ligament, meniscus, and surrounding soft tissue injury.  ... 
doi:10.1155/2022/1783975 fatcat:n55rqis6v5bcfowjd5lnmzuj6u

Using GRAPPA to improve autocalibrated coil sensitivity estimation for the SENSE family of parallel imaging reconstruction algorithms

W. Scott Hoge, Dana H. Brooks
2008 Magnetic Resonance in Medicine  
Two strategies are widely used in parallel MRI to reconstruct subsampled multi-coil image data.  ...  SENSE and related methods employ explicit receiver coil spatial response estimates to reconstruct an image.  ...  Mulkern for the ACR phantom data. Supported in part by a grant from the NIH (U41 RR019703-01A2. Jolesz, PI).  ... 
doi:10.1002/mrm.21634 pmid:18666113 pmcid:PMC3984006 fatcat:4e7olnx4hfcmtbn3ucu7tve4le

A NEW NON-CONVEX REGULARIZED SPARSE RECONSTRUCTION ALGORITHM FOR COMPRESSED SENSING MAGNETIC RESONANCE IMAGE RECOVERY

Xiangjun Yin, Linyu Wang, Huihui Yue, Jianhong Xiang
2018 Progress In Electromagnetics Research C  
Furthermore, the experiments prove the superiority of the RRITSL0 algorithm in magnetic resonance (MR) image recovery.  ...  Compared with other state-of-the-art functions, our proposed IT function cluster can better approximate the L 0 -norm, thus improving the reconstruction accuracy.  ...  CONCLUSIONS This paper proposes an RRITSL0 algorithm for reconstructing sparse signals and images.  ... 
doi:10.2528/pierc18072101 fatcat:i2filiwuonb4bhopfvkyj3l6jy

Registration of planar bioluminescence to magnetic resonance and x-ray computed tomography images as a platform for the development of bioluminescence tomography reconstruction algorithms

Bradley J. Beattie, Alexander D. Klose, Carl H. Le, Valerie A. Longo, Konstantine Dobrenkov, Jelena Vider, Jason A. Koutcher, Ronald G. Blasberg
2009 Journal of Biomedical Optics  
The procedures we propose make possible the mapping of two-dimensional ͑2-D͒ bioluminescence image ͑BLI͒ data onto a skin surface derived from a three-dimensional ͑3-D͒ anatomical modality ͓magnetic resonance  ...  Additional experiments highlight some of the confounds that are often overlooked in the BLT reconstruction process, and for two of these confounds, simple corrections are proposed.  ...  Hielscher of Columbia University for his careful review, editing, and recommendations related to this manuscript. This work was supported in part by Grant Nos.  ... 
doi:10.1117/1.3120495 pmid:19405773 pmcid:PMC2917449 fatcat:te4ptdlwqzckhl3ebypixxrb7a

MODERATED EPOSTERS1385Longitudinal strain assessment in dilated cardiomyopathy patients using a novel accelerated DENSE sequence1407Simultaneous T1 and T2 cardiac quantification with CABIRIA: initial clinical experience1423Head-to-head comparison of acceleration algorithms in 4-dimensional flow CMR1502Left ventricular function and size evaluated by hybrid cardiac positron emission tomography-magnetic resonance: Intraindividual comparison of left ventricular ejection fraction and ventricular volumes derived ...

Upasana Tayal, Alexandros Kallifatidis, P. Garg, D. Beitzke, Stephanie Funk, Shimon Kolker, Tobias Rutz, Komal S Safdar, F. Valente, R. Murdoch, F. Macaione, Amardeep Ghosh Dastidar (+279 others)
2016 European Heart Journal-Cardiovascular Imaging  
Abstracts i27 Eur Heart J Cardiovasc Imaging Abstracts Supplement, May 2016 Background: The novel tissue tracking analysis software (TT) for cardiac magnetic resonance (CMR) allows the study of myocardial  ...  Background: Cardiac magnetic resonance (CMR) is considered as gold standard for detection of scar after myocardial infarction.  ... 
doi:10.1093/ehjci/jew182 fatcat:afdxmhwmtzbenk4fmgxth33aum

Single-spin scanning magnetic microscopy with radial basis function reconstruction algorithm [article]

Cheng-Jie Wang, Rui Li, Bei Ding, Pengfei Wang, Wenhong Wang, Mengqi Wang, Maosen Guo, Chang-Kui Duan, Fazhan Shi, Jiangfeng Du
2020 arXiv   pre-print
Simulations with shot noise quantitatively confirm the high quality of the reconstruction algorithm. The method is validated by imaging the stray field of a frustrated magnet.  ...  Then the radial basis function algorithm is employed to reconstruct the magnetic field from contour lines.  ...  the magnetic resonance fringe image.  ... 
arXiv:2002.12023v1 fatcat:q3haz5sounfgjkwhzafzqclzda

Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]

Mathews Jacob, Jong Chul Ye, Leslie Ying, Mariya Doneva
2020 IEEE Signal Processing Magazine  
Model-based reconstruction in MRI using fixed transforms The first article, "Mathematical Models for Mag netic Resonance Imaging Reconstruction," by Doneva, is an overview of MRI acquisition schemes from  ...  Most of the current medical-imaging modalities [e.g., magnetic resonance imaging (MRI), CT, positron emission tomography] employ computational imaging in one form or another.  ...  Namrata Vaswani, Clem Karl, SPM's Editor-in-Chief Robert Heath, and SPM's entire editorial board for their helpful feedback and suggestions for the content of this special issue.  ... 
doi:10.1109/msp.2019.2953993 pmid:33623355 pmcid:PMC7899158 fatcat:kqogwy52r5grbezsfjp2mzxs6e

Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements

Evren DEĞİRMENCİ, Behçet Murat EYÜPOĞLU
2017 Turkish Journal of Electrical Engineering and Computer Sciences  
Similar to magnetic resonance electrical impedance tomography (MREIT), MRCTI uses magnetic field and boundary potential measurements obtained utilizing magnetic resonance imaging techniques.  ...  Magnetic resonance conductivity tensor imaging (MRCTI) was proposed recently to produce electrical conductivity images of anisotropic tissues.  ...  Another algorithm for magnetic resonance conductivity tensor imaging (MRCTI) was proposed by Degirmenci and Eyüboglu [14] .  ... 
doi:10.3906/elk-1409-97 fatcat:l33beeejyfd7hnu2qm455uk3iq

Sub-30 ms real-time, free-breathing cardiac imaging with SPIRiT

Samuel T Ting, Yu Ding, Shivraman Giri, Ning Jin, Orlando P Simonetti, Rizwan Ahmad
2014 Journal of Cardiovascular Magnetic Resonance  
Combined with Variable density Incoherent Spatio-Temporal Acquisition (VISTA, [1]), SPIRiT [2] reconstruction can provide an avenue for highly accelerated real-time, free-breathing cardiac imaging.  ...  Yet the high computational cost of iterative algorithms limits practical clinical implementation.  ...  SNR of reconstructed images was measured, and images were qualitatively evaluated for aliasing artifact.  ... 
doi:10.1186/1532-429x-16-s1-w2 pmcid:PMC4045711 fatcat:5mxuazukwzbmtoqtiovbhafoce
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