92 Hits in 6.6 sec

Accuracy of the Morphology Enabled Dipole Inversion (MEDI) Algorithm for Quantitative Susceptibility Mapping in MRI

Tian Liu, Weiyu Xu, P. Spincemaille, A. S. Avestimehr, Yi Wang
2012 IEEE Transactions on Medical Imaging  
An algorithm called Morphology Enabled Dipole Inversion (MEDI), which incorporates spatial prior information, has been proposed to generate a quantitative susceptibility map (QSM).  ...  Additional phantom validation and human brain imaging demonstrated the practicality of the MEDI method. Index Terms-error analysis, MEDI, MRI, quantitative susceptibility mapping.  ...  ACKNOWLEDGMENT We thank Cynthia Wisnieff and Richard Wong at biomedical engineering department of Cornell University for their assistance in preparing the phantom experiment.  ... 
doi:10.1109/tmi.2011.2182523 pmid:22231170 pmcid:PMC3613569 fatcat:rzzqifsfqzhvvm7x4ldlzknjdi

Morphology-adaptive total variation for the reconstruction of quantitative susceptibility map from the magnetic resonance imaging phase

Li Guo, Yingjie Mei, Jijing Guan, Xiangliang Tan, Yikai Xu, Wufan Chen, Qianjin Feng, Yanqiu Feng, Dzung Pham
2018 PLoS ONE  
The morphology enabled dipole inversion (MEDI) introduces total variation (TV) to regularize the susceptibility reconstruction.  ...  In the dipole inversion for QSM, the TV regularization weights are a monotonically decreasing function of magnitude gradients.  ...  Acknowledgments The authors gratefully acknowledge Dr. Yihao Guo for his assistance on validation. Author Contributions Conceptualization: Yanqiu Feng.  ... 
doi:10.1371/journal.pone.0196922 pmid:29738526 pmcid:PMC5940224 fatcat:pwuz5nbsfzbztpzo7gkmg2z52y

Comparison of Two Quantitative Susceptibility Mapping Measurement Methods Used For Anatomical Localization of the Iron-Incorporated Deep Brain Nuclei

Hadis Alvankar Golpaygan, Mohammad Ali Oghabian, Seyed Amir Hossein Batouli, Arash Zare Sadeghi
2016 Iranian Journal of Medical Physics  
In this study, we aimed to implement two QSM estimation algorithms, threshold-based k-space division (TKD) and morphology enabled dipole inversion (MEDI) in presurgical planning.  ...  Introduction Quantitative susceptibility mapping (QSM) is a new contrast mechanism in magnetic resonance imaging (MRI).  ...  Acknowledgements This study was financially supported by a grant from Tehran University of Medical Sciences (Grant ID. 21706).  ... 
doi:10.22038/ijmp.2017.8295 doaj:f70d9b8a32a544029b0680f26c0b8f59 fatcat:xojdevb3irfbvdfgniz7fadoji

Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map

Jing Liu, Tian Liu, Ludovic de Rochefort, James Ledoux, Ildar Khalidov, Weiwei Chen, A. John Tsiouris, Cynthia Wisnieff, Pascal Spincemaille, Martin R. Prince, Yi Wang
2012 NeuroImage  
A Morphology Enabled Dipole Inversion (MEDI) approach is developed that exploits the structural consistency between the susceptibility map and the magnitude image reconstructed from the same gradient echo  ...  The magnetic susceptibility of tissue can be determined in gradient echo MRI by deconvolving the local magnetic field with the magnetic field generated by a unit dipole.  ...  This approach is referred to as the Morphology Enabled Dipole Inversion (MEDI).  ... 
doi:10.1016/j.neuroimage.2011.08.082 pmid:21925276 pmcid:PMC3254812 fatcat:xks6mznokzenloty5iiah23yyq

Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion [article]

Juan Liu, Kevin M. Koch
2019 arXiv   pre-print
Quantitative Susceptibility Mapping (QSM) reconstruction is a challenging inverse problem driven by ill conditioning of its field-to -susceptibility transformation.  ...  The estimated susceptibility maps can preserve conspicuity of fine features and suppress streaking artifacts.  ...  .: Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map.  ... 
arXiv:1904.05493v1 fatcat:74fdd5lqzjanndg3biz2lwhgru

Edge prior guided dictionary learning for quantitative susceptibility mapping reconstruction

Jiacheng Du, Yuxin Ji, Jiali Zhu, Xiaoli Mai, Junting Zou, Yang Chen, Ning Gu
2021 Quantitative Imaging in Medicine and Surgery  
However, the quantitative susceptibility mapping algorithm is an ill-posed inverse problem due to the near-zero value in the dipole kernel, and high-quality QSM reconstruction with effective streaking  ...  in the dipole inversion step.  ...  Conclusions In this paper, we propose an EP-DL method for dipole inversion in quantitative susceptibility mapping reconstruction.  ... 
doi:10.21037/qims-21-243 pmid:34993097 pmcid:PMC8666751 fatcat:3ipx5dwk4jfkhmzfd3cwf4bbaa

Quantitative Susceptibility Mapping using Deep Neural Network: QSMnet [article]

Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, Berkin Bilgic, Jingu Lee, Woojin Jung, Jingyu Ko, Hosan Jung, Kawin Setsompop, Greg Zaharchuk, Eung Yeop Kim, John Pauly, Jongho Lee
2018 arXiv   pre-print
Truncated K-space Division or TKD; Morphology Enabled Dipole Inversion or MEDI) to solve the ill-conditioned deconvolution problem.  ...  In this work, an MRI reconstruction algorithm, which is referred to as quantitative susceptibility mapping (QSM), has been developed using a deep neural network in order to perform dipole deconvolution  ...  For example, the Morphology Enabled Dipole Inversion (MEDI) algorithm constrains the reconstructed map to have similar edges to the T 2 *-weighted magnitude image.  ... 
arXiv:1803.05627v1 fatcat:m5otkheabbbubmj2uiajtpyux4

Simultaneous quantitative susceptibility mapping (QSM) and R2* for high iron concentration quantification with 3D ultrashort echo time sequences: An echo dependence study

Xing Lu, Yajun Ma, Eric Y. Chang, Qun He, Adam Searleman, Annette von Drygalski, Jiang Du
2018 Magnetic Resonance in Medicine  
Purpose: To evaluate the echo dependence of 3D ultrashort echo time (TE) quantitative susceptibility mapping (3D UTE-QSM) and effective transverse relaxation rate (R Ã 2 ) measurement in the setting of  ...  Simultaneous QSM processing with morphologyenabled dipole inversion (MEDI) and R Ã 2 single exponential fitting was conducted offline with the acquired 3D UTE data.  ...  DTE, echo spacing; CC, iron concentration; MEDI, morphology-enabled dipole inversion; UTE-QSM, ultrashort echo time quantitative susceptibility mapping FIG. 4.  ... 
doi:10.1002/mrm.27062 pmid:29314215 fatcat:4qmqzqg4rfhmphrd5jfcapudia

MRI Tissue Magnetism Quantification through Total Field Inversion with Deep Neural Networks [article]

Juan Liu, Kevin M. Koch
2019 arXiv   pre-print
Quantitative susceptibility mapping (QSM) utilizes MRI signal phase to infer estimates of local tissue magnetism (magnetic susceptibility), which has been shown useful to provide novel image contrast and  ...  In addition, the algorithm was applied to susceptibility-weighted imaging (SWI) data collected on a cohort of clinical subjects with brain hemmhorage.  ...  ) 32 , (ii) leastnorm QSM (LN-QSM) 33 , (iii) RESHARP and Thresholded K-space Division (TKD), (iv) Projection onto Dipole Fields (PDF) 25 and Morphology Enabled Dipole Inversion (MEDI) 41 .  ... 
arXiv:1904.07105v1 fatcat:ps4ebf5b2ja3hcquxqrygmsq6q

Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach [article]

Hyun-Seo Ahn, Sung-Hong Park, Jong Chul Ye
2018 arXiv   pre-print
Quantitative susceptibility mapping (QSM) inevitably suffers from streaking artifacts caused by zeros on the conical surface of the dipole kernel in k-space.  ...  quantitative accuracy.  ...  of magnitude images as an additional regularization term (morphology enabled dipole inversion; MEDI (Liu et al., 2012a,b) ).  ... 
arXiv:1804.09396v1 fatcat:ddhbftm4qvbiro7qu4nokgvrya

On the sensitivity of quantitative susceptibility mapping for measuring trabecular bone density

Maximilian N. Diefenbach, Jakob Meineke, Stefan Ruschke, Thomas Baum, Alexandra Gersing, Dimitrios C. Karampinos
2018 Magnetic Resonance in Medicine  
To develop a methodological framework to simultaneously measure R 2 * and magnetic susceptibility in trabecularized yellow bone marrow and to investigate the sensitivity of Quantitative Susceptibility  ...  Mapping (QSM) for measuring trabecular bone density using a non-UTE multi-gradient echo sequence.  ...  F I G U R E 2 Visual comparison of different dipole inversion methods for quantitative susceptibility mapping (QSM) in the calcaneus.  ... 
doi:10.1002/mrm.27531 pmid:30265769 pmcid:PMC6585956 fatcat:suzlqf26czhy5nm6ozihgohfh4

Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge

Christian Langkammer, Ferdinand Schweser, Karin Shmueli, Christian Kames, Xu Li, Li Guo, Carlos Milovic, Jinsuh Kim, Hongjiang Wei, Kristian Bredies, Sagar Buch, Yihao Guo (+5 others)
2017 Magnetic Resonance in Medicine  
Purpose: The aim of the 2016 quantitative susceptibility mapping (QSM) reconstruction challenge was to test the ability of various QSM algorithms to recover the underlying susceptibility from phase data  ...  Most of the best scoring approaches estimated the spatial frequency content in the ill-conditioned domain of the dipole kernel using compressed sensing strategies.  ...  Research reported in this publication was partially funded by the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR001412.  ... 
doi:10.1002/mrm.26830 pmid:28762243 fatcat:hxjvtj7w5ncpzdw56cjbvltgmq

Enhancing k-space quantitative susceptibility mapping by enforcing consistency on the cone data (CCD) with structural priors

Yan Wen, Yi Wang, Tian Liu
2015 Magnetic Resonance in Medicine  
at a pair of cone surfaces in the k-space, leading to streaking artifacts on the reconstructed quantitative susceptibility maps (QSM).  ...  Purpose-The inversion from the magnetic field to the magnetic susceptibility distribution is illposed because the dipole kernel, which relates the magnetic susceptibility to the magnetic field, has zeroes  ...  Luzzi for his assistance in the manuscript editing.  ... 
doi:10.1002/mrm.25652 pmid:25752805 pmcid:PMC4561604 fatcat:svq3ysqd4rdevkdkbw2hjvnna4

Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping [article]

Jinwei Zhang, Hang Zhang, Mert Sabuncu, Pascal Spincemaille, Thanh Nguyen, Yi Wang
2020 arXiv   pre-print
A learning-based posterior distribution estimation method, Probabilistic Dipole Inversion (PDI), is proposed to solve quantitative susceptibility mapping (QSM) inverse problem in MRI with uncertainty estimation  ...  A deep convolutional neural network (CNN) is used to represent the multivariate Gaussian distribution as the approximated posterior distribution of susceptibility given the input measured field.  ...  imaging inverse problem in MRI: quantitative susceptibility mapping (QSM) (de Rochefort et al., 2010; Wang and Liu, 2015) , which has the advantages of mapping iron decomposition and calcification .  ... 
arXiv:2004.12573v1 fatcat:doixboxtnjafpo7waly5vaq7uy

MRI-Based Quantification of Magnetic Susceptibility in Gel Phantoms: Assessment of Measurement and Calculation Accuracy

Emma Olsson, Ronnie Wirestam, Emelie Lind
2018 Radiology Research and Practice  
In this study, the accuracy of an established procedure for quantitative susceptibility mapping (QSM) was investigated.  ...  The local magnetic field inside and around an object in a magnetic resonance imaging unit depends on the magnetic susceptibility of the object being magnetized, in combination with its geometry/orientation  ...  Morphology Enabled Dipole Inversion (MEDI) [29, [34] [35] [36] ] is a QSM reconstruction method, designed to solve the illposed inverse problem of resolving (r) according to (5) .  ... 
doi:10.1155/2018/6709525 pmid:30155300 fatcat:oofb3algwjcdnfsfyq3u4att4a
« Previous Showing results 1 — 15 out of 92 results